وظائف هندسة النظم في الأردن

<p><h4>Optimiza overview</h4> <p>Optimiza is a regional systems integration and digital transformation company delivering consulting, business, and technology solutions across multiple industries. Our work brings together business and technology to help clients build stronger, more effective systems, and we are looking for engineers who enjoy solving complex technical challenges in fast-moving environments.</p> <p>As a microservices developer, you will play a key role in shaping backend solutions that support reliable, scalable digital platforms. This role is well suited to someone who enjoys building modern distributed systems, working across functions, and contributing to technology solutions that have meaningful impact across client and business needs.</p> <h4>Responsibilities</h4> <li>Design, build, and maintain robust microservices-based applications and RESTful APIs using modern architectural principles.</li> <li>Implement service-to-service communication using APIs, messaging queues (Kafka, RabbitMQ), and event-driven architectures.</li> <li>Ensure high availability, scalability, and performance of microservices under heavy load.</li> <li>Implement and enforce security standards including authentication, authorization, and data protection.</li> <li>Collaborate cross-functionally with front-end developers, DevOps teams, and system architects to deliver end-to-end solutions.</li> <li>Participate in code reviews and troubleshoot production issues related to backend integrations.</li> <li>Support CI/CD pipelines and deployment of containerized applications.</li> <h4>Requirements</h4> <p><strong>Education:</strong> Bachelor’s degree in computer science, software engineering, or a related technical field.</p> <p><strong>Experience:</strong> 3+ years of proven experience in backend or microservices development.</p> <p><strong>Core technical proficiency:</strong> Strong expertise in Java, with experience in Java 11 or Java 17+ preferred. Strong expertise in the Spring ecosystem, including Spring Boot, Spring Cloud, and Spring Data. Deep knowledge of microservices architecture and distributed systems. Extensive experience developing, documenting, and consuming RESTful APIs.</p> <p><strong>Database knowledge:</strong> Solid experience with both relational databases such as PostgreSQL or MySQL and NoSQL databases such as MongoDB or Redis, including ORM tools like Hibernate or JPA.</p> <p><strong>Messaging & async:</strong> Familiarity with messaging systems such as Apache Kafka, RabbitMQ, or similar.</p> <p><strong>Infrastructure & DevOps:</strong> Solid understanding of CI/CD tools such as Jenkins or GitLab CI and DevOps best practices. Hands-on experience with Docker and Kubernetes is highly preferred.</p> <p><strong>Legal / regulatory requirements:</strong> Eligible to work in Jordan.</p></p><p></p>

<p><h4>Optimiza overview</h4> <p>Optimiza is a regional systems integration and digital transformation company delivering consulting, business, and technology solutions across multiple industries. Our work brings together business and technology to help clients build stronger, more effective systems, and we are looking for engineers who enjoy solving complex technical challenges in fast-moving environments.</p> <p>As a microservices developer, you will play a key role in shaping backend solutions that support reliable, scalable digital platforms. This role is well suited to someone who enjoys building modern distributed systems, working across functions, and contributing to technology solutions that have meaningful impact across client and business needs.</p> <h4>Responsibilities</h4> <li>Design, build, and maintain robust microservices-based applications and RESTful APIs using modern architectural principles.</li> <li>Implement service-to-service communication using APIs, messaging queues (Kafka, RabbitMQ), and event-driven architectures.</li> <li>Ensure high availability, scalability, and performance of microservices under heavy load.</li> <li>Implement and enforce security standards including authentication, authorization, and data protection.</li> <li>Collaborate cross-functionally with front-end developers, DevOps teams, and system architects to deliver end-to-end solutions.</li> <li>Participate in code reviews and troubleshoot production issues related to backend integrations.</li> <li>Support CI/CD pipelines and deployment of containerized applications.</li> <h4>Requirements</h4> <p><strong>Education:</strong> Bachelor’s degree in computer science, software engineering, or a related technical field.</p> <p><strong>Experience:</strong> 3+ years of proven experience in backend or microservices development.</p> <p><strong>Core technical proficiency:</strong> Strong expertise in Java, with experience in Java 11 or Java 17+ preferred. Strong expertise in the Spring ecosystem, including Spring Boot, Spring Cloud, and Spring Data. Deep knowledge of microservices architecture and distributed systems. Extensive experience developing, documenting, and consuming RESTful APIs.</p> <p><strong>Database knowledge:</strong> Solid experience with both relational databases such as PostgreSQL or MySQL and NoSQL databases such as MongoDB or Redis, including ORM tools like Hibernate or JPA.</p> <p><strong>Messaging & async:</strong> Familiarity with messaging systems such as Apache Kafka, RabbitMQ, or similar.</p> <p><strong>Infrastructure & DevOps:</strong> Solid understanding of CI/CD tools such as Jenkins or GitLab CI and DevOps best practices. Hands-on experience with Docker and Kubernetes is highly preferred.</p> <p><strong>Legal / regulatory requirements:</strong> Eligible to work in Jordan.</p></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Optimiza is a regional systems integration and digital transformation company delivering consulting, business, and technology solutions across multiple industries.<br> Our work brings together business and technology to help clients build stronger, more effective systems, and we are looking for engineers who enjoy solving complex technical challenges in fast-moving environments.<br> As a Microservices Developer, you will play a key role in shaping backend solutions that support reliable, scalable digital platforms.<br> This role is well suited to someone who enjoys building modern distributed systems, working across functions, and contributing to technology solutions that have meaningful impact across client and business needs.<br> Responsibilities Design, build, and maintain robust microservices-based applications and RESTful APIs using modern architectural principles.<br> Implement service-to-service communication using APIs, messaging queues (Kafka, RabbitMQ), and event-driven architectures.<br> Ensure high availability, scalability, and performance of microservices under heavy load.<br> Implement and enforce security standards including authentication, authorization, and data protection.<br> Collaborate cross-functionally with front-end developers, DevOps teams, and system architects to deliver end-to-end solutions.<br> Participate in code reviews and troubleshoot production issues related to backend integrations.<br> Support CI/CD pipelines and deployment of containerized applications.<br> Job Requirements Education: Bachelor’s degree in Computer Science, Software Engineering, or a related technical field.<br> Experience: 3+ years of proven experience in backend or microservices development.<br> Core Technical Proficiency: Strong expertise in Java, with experience in Java 11 or Java 17+ preferred.<br> Strong expertise in the Spring ecosystem, including Spring Boot, Spring Cloud, and Spring Data.<br> Deep knowledge of microservices architecture and distributed systems.<br> Extensive experience developing, documenting, and consuming RESTful APIs.<br> Database Knowledge: Solid experience with both relational databases such as PostgreSQL or MySQL and NoSQL databases such as MongoDB or Redis, including ORM tools like Hibernate or JPA.<br> Messaging &amp; Async: Familiarity with messaging systems such as Apache Kafka, RabbitMQ, or similar.<br> Infrastructure &amp; DevOps: Solid understanding of CI/CD tools such as Jenkins or GitLab CI and DevOps best practices.<br> Hands-on experience with Docker and Kubernetes is highly preferred.<br> Legal / Regulatory Requirements: Eligible to work in Jordan.<br></span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Support design and positioning of SITA Airports solutions across MEA in collaboration with Sales, Product, Architecture, and Delivery teams.</p><p>Lead and support pre-sales activities including qualification, solution shaping, proposals, workshops, and RFP/RFI/RFQ responses.</p><p>Translate airport operational requirements into robust, scalable technical solutions using SITA Airports portfolio offerings.</p><p>Design airport solutions across domains such as Passenger Processing, Biometrics &amp; Digital Identity, Baggage Management, Airport Operations, and Smart Airport initiatives.</p><p>Engage customers through technical workshops, solution presentations, and demonstrations to support opportunity development.</p><p>Define integration approaches across airport, airline, cloud, infrastructure, network, API, and third-party systems.</p><p>Ensure solution designs meet 24/7 operational requirements with focus on resilience, availability, scalability, and maintainability.</p><p>Identify technical risks, dependencies, and compliance considerations during solution design and proposal stages.</p><p>Ensure alignment with aviation industry standards and regulations (ICAO, IATA, ACI) and SITA architectural principles.</p><p>Stay current with airport technology trends including biometrics, digital identity, automation, cloud platforms, and AI-enabled airport operations.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>4 5 years of experience in IT, aviation/air transport technology, airport systems, or solution engineering/pre-sales roles.</p><p>Bachelor s degree in Engineering, Computer Science, Information Technology, Telecommunications, or equivalent.</p><p>Relevant certifications such as: TOGAF (Enterprise Architecture), Cloud certifications (AWS / Azure / GCP), Virtualization or infrastructure certifications (e.g., VMware), Cybersecurity certifications (e.g., Security+, CISSP foundation-level awareness), etc.</p><p>Strong understanding of systems integration, APIs, multi-vendor ecosystems, and enterprise IT environments.</p><p>Strong exposure to airport or aviation environments is highly preferred.</p><p>Solid understanding of airport domains including Passenger Processing, Biometrics, Baggage Systems, Airport Operations, and Integration Platforms.</p><p>Experience in customer-facing pre-sales engagements including workshops, proposals, and RFP/RFI responses.</p><p>Analytical, structured problem-solving mindset with strong collaboration and adaptability.</p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><strong>JOB TITLE</strong><br>Intermediate Solution Architect | MAF Global Solutions | Customer Solutions - Jordan<br><strong>ROLE SUMMARY</strong><br>Design and implement technical solutions that meet business and functional requirements while following established architectural standards. Act as a supporting member within the architecture team to help bridge business needs with engineering delivery.<br><strong>ROLE PROFILE</strong></p><br><br><ul><li>Design end-to-end technical solutions aligned with business and functional requirements</li><li>Develop architecture artifacts (diagrams, integration flows, technical documentation)</li><li>Ensure solutions meet scalability, security, and performance standards</li><li>Support engineering teams during implementation and provide technical guidance</li><li>Apply architectural best practices and contribute to design discussions</li><li>Collaborate with product, business, and engineering teams for smooth delivery</li><li>Assist in planning, estimation, and resolving technical issues during projects</li><li>Drive continuous improvement through reusable components, documentation, and staying updated on technologies</li></ul><p><br><strong>REQUIREMENTS</strong></p><br><br><ul><li>Solid understanding of system design, APIs, integrations, and distributed systems</li><li>Familiarity with cloud platforms (AWS, Azure, or GCP) and modern architecture patterns</li><li>Awareness of security, scalability, and performance considerations</li><li>Strong analytical, problem-solving, and communication skills</li><li>Collaborative mindset with ability to work across cross-functional teams</li><li>Bachelor’s degree + 4–6 years’ experience in software engineering/solution design, with Agile exposure and enterprise/cloud project experience</li></ul><p><br><strong>WHAT WE OFFER</strong></p><br><br><ul><li>At Majid Al Futtaim, we’re on a mission to create great moments, to spread happiness, to build, experiences that stay in our memories for a lifetime. We’re proud to say that over the past 27 years, we have built a reputation as a regional market leader in what we do. Join us!</li><li>Work in a friendly environment, where everyone shares positive vibes and excited about our future.</li><li>Work with over 45,000 diverse and talented colleagues, all guided by our Leadership Model.</li></ul><br> <br> </div>

<p><b>About the job </b>As a Microservices Developer at Aspire, you will be responsible for designing, developing, and maintaining scalable microservices-based applications that power enterprise solutions. You will build secure, high-performance backend services, collaborate with cross-functional teams, and contribute to delivering reliable, cloud-ready applications following modern software engineering and DevOps best practices. What You'll Do Design, develop, and maintain microservices-based applications following modern architectural principles. Build and maintain RESTful APIs and backend services to support internal and external applications. Implement service-to-service communication using APIs, messaging queues, and event-driven architectures. Ensure the scalability, resilience, security, and performance of microservices. Collaborate with front-end developers, DevOps engineers, architects, and QA teams to deliver end-to-end solutions. Implement authentication, authorization, and data protection mechanisms following security best practices. Participate in code reviews to ensure high-quality, maintainable, and secure code. Troubleshoot and resolve production issues related to microservices, integrations, and distributed systems. Support CI/CD pipelines and containerized deployments to enable efficient software delivery. Contribute to continuous improvement initiatives by adopting modern development tools and engineering best practices.</p><p><strong>Desired Candidate Profile</strong></p><p>What You'll Need Bachelor’s degree in Computer Science, Software Engineering, or a related field. 3u20136 years of experience in backend or microservices development. Strong understanding of microservices architecture and distributed systems. Experience designing and developing RESTful APIs. Proficiency in backend technologies such as Java, .NET, Node.js, or similar. Experience with relational and/or NoSQL databases. Familiarity with messaging platforms such as Kafka, RabbitMQ, or similar. Experience with containerization technologies such as Docker and Kubernetes is a plus. Knowledge of CI/CD pipelines and DevOps practices. Strong analytical, troubleshooting, and problem-solving skills. Awareness or knowledge of IT security best practices as defined by ISO / SOC or similar.</p>

<p><h4>Description</h4> <p>Robusta Technology Group (RTG) is a key driver of digital transformation by providing a holistic tech ecosystem. RTG works with its local and international partners to help build digital customer experiences, establish engineering hubs, and build ventures across multiple industries and domains. In this pursuit, RTG serves as a catalyst for impact and growth through events, spaces, and content focused on creating impact and growth across the different interactions.</p> <p>Octopus is proud to be part of the Robusta Technology Group (RTG), a leading tech consultancy group. With a decade of experience and a successful track record of delivering over 300 projects across Europe, the Middle East, and North America, RTG has established itself as a preferred employer in the Egyptian market. Octopus and Robusta are building a bridge between Europe and Africa, creating tailored hub solutions to connect companies with top talent across the globe.</p> <h4>Job overview</h4> <p>We are seeking an experienced senior Salesforce Agentforce to lead the design and delivery of enterprise-grade AI agent solutions using Salesforce Agentforce. This role requires deep expertise in Agentforce architecture, Salesforce Data Cloud (Data 360), Retrieval-Augmented Generation (RAG), and the Salesforce platform. You will work closely with business stakeholders, architects, delivery teams, and executive leadership to identify AI use cases, define solution architectures, and drive successful Agentforce implementations across complex enterprise environments.</p> <h4>Role responsibilities</h4> <ul> <li>Lead Agentforce discovery workshops to identify high-value AI use cases and assess solution fit.</li> <li>Define agent care plans, success metrics, adoption strategies, and implementation roadmaps.</li> <li>Architect Agentforce solutions, including:<br>   - Agents and sub-agents<br>   - Topics<br>   - Actions (Apex, Flow, Prompt-based, and Invocable Actions)<br>   - Instructions and orchestration</li> <li>Design grounding strategies using Salesforce Data Cloud (Data 360), Retrieval-Augmented Generation (RAG), vector databases, embedding and chunking techniques, and retrieval optimization for both structured and unstructured data.</li> <li>Design scalable Salesforce platform architectures, including:<br>   - Data model<br>   - Sharing and visibility model<br>   - Security architecture</li> <li>Develop solution extensions using Apex, Lightning Web Components (LWC), and Salesforce Flow.</li> <li>Produce technical architecture documentation, solution blueprints, and executive presentations.</li> <li>Establish architectural governance, implementation standards, and best practices to ensure scalability, reusability, and compliance with Agentforce platform guardrails.</li> <li>Collaborate with delivery teams, data engineers, integration architects, and enterprise stakeholders across multi-system environments, including ERP, CRM, middleware, and external AI services.</li> <li>Support pre-sales initiatives by contributing to solution design, effort estimation, demonstrations, and proof-of-concept (POC) development.</li> <li>Provide technical leadership and mentoring to project teams throughout the solution lifecycle.</li> </ul> <h4>Requirements</h4> <ul> <li>Proven experience delivering Salesforce Agentforce solutions in production environments or enterprise-scale proof of concepts.</li> <li>Strong understanding of Agentforce architecture, including:<br>   - Agents<br>   - Sub-agents<br>   - Topics<br>   - Actions<br>   - Instructions<br>   - Orchestration</li> <li>Experience facilitating AI use case discovery and designing agent care plans.</li> <li>Strong expertise in Salesforce Data Cloud (Data 360), including:<br>   - Data modelling<br>   - Batch and streaming ingestion<br>   - Data harmonisation<br>   - Identity resolution</li> <li>Deep understanding of Retrieval-Augmented Generation (RAG), including:<br>   - Vector databases<br>   - Embedding and chunking strategies<br>   - Retrieval optimisation<br>   - Grounding using Data Cloud and external knowledge sources</li> <li>Strong Salesforce platform architecture experience covering:<br>   - Data modelling<br>   - Security architecture<br>   - Sharing and visibility model (OWD, Roles, Sharing Rules)</li> <li>Advanced development skills in:<br>   - Apex<br>   - Lightning Web Components (LWC)<br>   - Salesforce Flow</li> <li>Experience designing enterprise integration patterns connecting Agentforce with external systems.</li> <li>Excellent stakeholder management and client-facing communication skills with the ability to present solutions to both technical and executive audiences.</li> <li>Understanding of the Agentforce consumption model.</li> <li>Experience with Agentforce Testing Center or equivalent AI testing frameworks.</li> </ul> <h4>Nice to have</h4> <ul> <li>Knowledge of Model Context Protocol (MCP).</li> <li>Experience with Agent-to-Agent (A2A) integration patterns.</li> <li>Experience designing headless Salesforce architectures.</li> <li>Agentblazer Legend status.</li> <li>Agentforce FDE Ready Practitioner accreditation.</li> </ul> <h4>Preferred Salesforce certifications</h4> <ul> <li>Salesforce Application Architect</li> <li>Salesforce Data Cloud Consultant</li> <li>Salesforce Agentforce Specialist</li> </ul> <h4>Benefits</h4> <ul> <li>Fully remote engagement.</li> <li>Opportunity to work on cutting-edge Salesforce AI and Agentforce implementations.</li> <li>Collaborate with leading enterprise clients on large-scale digital transformation programmes.</li> <li>Competitive contract rates and the opportunity to shape next-generation AI-powered customer experiences.</li> </ul></p><p></p>

<p><h4>Description</h4> <p>Robusta Technology Group (RTG) is a key driver of digital transformation by providing a holistic tech ecosystem. RTG works with its local and international partners to help build digital customer experiences, establish engineering hubs, and build ventures across multiple industries and domains. In this pursuit, RTG serves as a catalyst for impact and growth through events, spaces, and content focused on creating impact and growth across the different interactions.</p> <p>Octopus is proud to be part of the Robusta Technology Group (RTG), a leading tech consultancy group. With a decade of experience and a successful track record of delivering over 300 projects across Europe, the Middle East, and North America, RTG has established itself as a preferred employer in the Egyptian market. Octopus and Robusta are building a bridge between Europe and Africa, creating tailored hub solutions to connect companies with top talent across the globe.</p> <h4>Job overview</h4> <p>We are seeking an experienced senior Salesforce Agentforce to lead the design and delivery of enterprise-grade AI agent solutions using Salesforce Agentforce. This role requires deep expertise in Agentforce architecture, Salesforce Data Cloud (Data 360), Retrieval-Augmented Generation (RAG), and the Salesforce platform. You will work closely with business stakeholders, architects, delivery teams, and executive leadership to identify AI use cases, define solution architectures, and drive successful Agentforce implementations across complex enterprise environments.</p> <h4>Role responsibilities</h4> <ul> <li>Lead Agentforce discovery workshops to identify high-value AI use cases and assess solution fit.</li> <li>Define agent care plans, success metrics, adoption strategies, and implementation roadmaps.</li> <li>Architect Agentforce solutions, including:<br>   - Agents and sub-agents<br>   - Topics<br>   - Actions (Apex, Flow, Prompt-based, and Invocable Actions)<br>   - Instructions and orchestration</li> <li>Design grounding strategies using Salesforce Data Cloud (Data 360), Retrieval-Augmented Generation (RAG), vector databases, embedding and chunking techniques, and retrieval optimization for both structured and unstructured data.</li> <li>Design scalable Salesforce platform architectures, including:<br>   - Data model<br>   - Sharing and visibility model<br>   - Security architecture</li> <li>Develop solution extensions using Apex, Lightning Web Components (LWC), and Salesforce Flow.</li> <li>Produce technical architecture documentation, solution blueprints, and executive presentations.</li> <li>Establish architectural governance, implementation standards, and best practices to ensure scalability, reusability, and compliance with Agentforce platform guardrails.</li> <li>Collaborate with delivery teams, data engineers, integration architects, and enterprise stakeholders across multi-system environments, including ERP, CRM, middleware, and external AI services.</li> <li>Support pre-sales initiatives by contributing to solution design, effort estimation, demonstrations, and proof-of-concept (POC) development.</li> <li>Provide technical leadership and mentoring to project teams throughout the solution lifecycle.</li> </ul> <h4>Requirements</h4> <ul> <li>Proven experience delivering Salesforce Agentforce solutions in production environments or enterprise-scale proof of concepts.</li> <li>Strong understanding of Agentforce architecture, including:<br>   - Agents<br>   - Sub-agents<br>   - Topics<br>   - Actions<br>   - Instructions<br>   - Orchestration</li> <li>Experience facilitating AI use case discovery and designing agent care plans.</li> <li>Strong expertise in Salesforce Data Cloud (Data 360), including:<br>   - Data modelling<br>   - Batch and streaming ingestion<br>   - Data harmonisation<br>   - Identity resolution</li> <li>Deep understanding of Retrieval-Augmented Generation (RAG), including:<br>   - Vector databases<br>   - Embedding and chunking strategies<br>   - Retrieval optimisation<br>   - Grounding using Data Cloud and external knowledge sources</li> <li>Strong Salesforce platform architecture experience covering:<br>   - Data modelling<br>   - Security architecture<br>   - Sharing and visibility model (OWD, Roles, Sharing Rules)</li> <li>Advanced development skills in:<br>   - Apex<br>   - Lightning Web Components (LWC)<br>   - Salesforce Flow</li> <li>Experience designing enterprise integration patterns connecting Agentforce with external systems.</li> <li>Excellent stakeholder management and client-facing communication skills with the ability to present solutions to both technical and executive audiences.</li> <li>Understanding of the Agentforce consumption model.</li> <li>Experience with Agentforce Testing Center or equivalent AI testing frameworks.</li> </ul> <h4>Nice to have</h4> <ul> <li>Knowledge of Model Context Protocol (MCP).</li> <li>Experience with Agent-to-Agent (A2A) integration patterns.</li> <li>Experience designing headless Salesforce architectures.</li> <li>Agentblazer Legend status.</li> <li>Agentforce FDE Ready Practitioner accreditation.</li> </ul> <h4>Preferred Salesforce certifications</h4> <ul> <li>Salesforce Application Architect</li> <li>Salesforce Data Cloud Consultant</li> <li>Salesforce Agentforce Specialist</li> </ul> <h4>Benefits</h4> <ul> <li>Fully remote engagement.</li> <li>Opportunity to work on cutting-edge Salesforce AI and Agentforce implementations.</li> <li>Collaborate with leading enterprise clients on large-scale digital transformation programmes.</li> <li>Competitive contract rates and the opportunity to shape next-generation AI-powered customer experiences.</li> </ul></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Robusta Technology Group (RTG) is a key driver of digital transformation by providing a holistic tech ecosystem.<br> RTG works with its local and international partners to help build digital customer experiences, establish engineering hubs and build ventures across multiple industries and domains.<br> In this pursuit, RTG serves as a catalyst for impact and growth through events, spaces and content focused on creating impact and growth across the different interactions.<br> Octopus is proud to be part of the Robusta Technology Group (RTG), a leading tech consultancy group.<br> With a decade of experience and a successful track record of delivering over 300 projects across Europe, the Middle East, and North America, RTG has established itself as a preferred employer in the Egyptian market.<br> Octopus and Robusta are building a bridge between Europe and Africa, creating tailored hub solutions to connect companies with top talent across the globe.<br> Job Overview We are seeking an experienced Senior Salesforce Agentforce to lead the design and delivery of enterprise-grade AI agent solutions using Salesforce Agentforce.<br> This role requires deep expertise in Agentforce architecture, Salesforce Data Cloud (Data 360), Retrieval-Augmented Generation (RAG), and the Salesforce platform.<br> You will work closely with business stakeholders, architects, delivery teams, and executive leadership to identify AI use cases, define solution architectures, and drive successful Agentforce implementations across complex enterprise environments.<br> Role Responsibilities Lead Agentforce discovery workshops to identify high-value AI use cases and assess solution fit.<br> Define agent care plans, success metrics, adoption strategies, and implementation roadmaps.<br> Architect Agentforce solutions, including: - Agents and sub-agents - Topics - Actions (Apex, Flow, Prompt-based, and Invocable Actions) - Instructions and orchestration Design grounding strategies using Salesforce Data Cloud (Data 360), Retrieval-Augmented Generation (RAG), vector databases, embedding and chunking techniques, and retrieval optimization for both structured and unstructured data.<br> Design scalable Salesforce platform architectures, including: - Data model - Sharing and visibility model - Security architecture Develop solution extensions using Apex, Lightning Web Components (LWC), and Salesforce Flow.<br> Produce technical architecture documentation, solution blueprints, and executive presentations.<br> Establish architectural governance, implementation standards, and best practices to ensure scalability, reusability, and compliance with Agentforce platform guardrails.<br> Collaborate with delivery teams, data engineers, integration architects, and enterprise stakeholders across multi-system environments, including ERP, CRM, middleware, and external AI services.<br> Support pre-sales initiatives by contributing to solution design, effort estimation, demonstrations, and proof-of-concept (POC) development.<br> Provide technical leadership and mentoring to project teams throughout the solution lifecycle.<br> Fully remote engagement.<br> Opportunity to work on cutting-edge Salesforce AI and Agentforce implementations.<br> Collaborate with leading enterprise clients on large-scale digital transformation programmes.<br> Competitive contract rates and the opportunity to shape next-generation AI-powered customer experiences.<br> Proven experience delivering Salesforce Agentforce solutions in production environments or enterprise-scale proof of concepts.<br> Strong understanding of Agentforce architecture, including: Agents Sub-agents Topics Actions Instructions Orchestration Experience facilitating AI use case discovery and designing agent care plans.<br> Strong expertise in Salesforce Data Cloud (Data 360), including: Data modelling Batch and streaming ingestion Data harmonisation Identity resolution Deep understanding of Retrieval-Augmented Generation (RAG), including: Vector databases Embedding and chunking strategies Retrieval optimisation Grounding using Data Cloud and external knowledge sources Strong Salesforce platform architecture experience covering: Data modelling Security architecture Sharing and visibility model (OWD, Roles, Sharing Rules) Advanced development skills in: Apex Lightning Web Components (LWC) Salesforce Flow Experience designing enterprise integration patterns connecting Agentforce with external systems.<br> Excellent stakeholder management and client-facing communication skills with the ability to present solutions to both technical and executive audiences.<br> Understanding of the Agentforce consumption model.<br> Experience with Agentforce Testing Center or equivalent AI testing frameworks.<br> Nice to Have Knowledge of Model Context Protocol (MCP).<br> Experience with Agent-to-Agent (A2A) integration patterns.<br> Experience designing headless Salesforce architectures.<br> Agentblazer Legend status.<br> Agentforce FDE Ready Practitioner accreditation.<br> Preferred Salesforce Certifications Salesforce Application Architect Salesforce Data Cloud Consultant Salesforce Agentforce Specialist</span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><div><span style="font-size: 11px;"><b>About the job</b></span></div><div><span style="font-size: 11px;">As a Program Manager at Aspire, you will lead large-scale, cross-functional initiatives across the Marketplace ecosystem, including One Account / One Profile unification (Indeed + Glassdoor), CIAM and messaging integrations, and AI-driven capabilities. You will coordinate complex programs that span product, engineering, and UX teams, ensuring alignment with Marketplace OKRs and delivery of high-impact platform initiatives. This role also involves managing TPM and program management capacity through shared services and contractor resources to support execution across multiple workstreams.</span></div><div><span style="font-size: 11px;"><br></span></div><div><span style="font-size: 11px;"><b>What you’ll do</b></span></div><div><span style="font-size: 11px;">Lead end-to-end delivery of large, cross-team Marketplace programs spanning product, engineering, and UX.</span></div><div><span style="font-size: 11px;">Drive planning, execution, risk management, and stakeholder alignment across multiple initiatives.</span></div><div><span style="font-size: 11px;">Manage dependencies across teams to ensure smooth delivery of roadmap commitments and OKRs.</span></div><div><span style="font-size: 11px;">Oversee program management and TPM resources, including contractor capacity and shared service teams.</span></div><div><span style="font-size: 11px;">Coordinate initiatives such as CIAM integrations, account unification (OAOP), messaging systems, and AI capabilities.</span></div><div><span style="font-size: 11px;">Translate high-level business objectives into structured program plans, milestones, and deliverables.</span></div><div><span style="font-size: 11px;">Define and maintain program artifacts such as project plans, RACI matrices, and status reporting.</span></div><div><span style="font-size: 11px;">Manage and prioritize a portfolio of initiatives and backlog items across Marketplace programs.</span></div><div><span style="font-size: 11px;">Identify risks early and proactively drive mitigation strategies.</span></div><div><span style="font-size: 11px;">Collaborate closely with Product Managers, Engineering, UX, and senior stakeholders (TDMs, Directors, and leadership).</span></div><div><span style="font-size: 11px;">Ensure alignment between execution and Marketplace goals such as growth, efficiency, and operational stability.</span></div><div><span style="font-size: 11px;">Communicate program status, progress, and risks clearly to all stakeholders.</span></div><div><span style="font-size: 11px;"><b>What you’ll need</b></span></div><div><span style="font-size: 11px;">Strong understanding of system architecture and high-level technical flows.</span></div><div><span style="font-size: 11px;">Excellent analytical and problem-solving skills with a structured, logical mindset.</span></div><div><span style="font-size: 11px;">Strong program and project management fundamentals (RACI, planning, governance, reporting).</span></div><div><span style="font-size: 11px;">Ability to manage multiple initiatives, priorities, and dependencies simultaneously.</span></div><div><span style="font-size: 11px;">Experience working with cross-functional stakeholders including Product, Engineering, UX, and leadership teams.</span></div><div><span style="font-size: 11px;">Strong communication skills in English, both written and verbal.</span></div><div><span style="font-size: 11px;">Ability to proactively define objectives, identify risks, and drive execution independently.</span></div><div><span style="font-size: 11px;">Proficiency with tools such as Google Workspace, Jira, and PPM/project management tools.</span></div><div><span style="font-size: 11px;">Strong ownership mindset with ability to drive deliverables end-to-end.</span></div><div><span style="font-size: 11px;">Experience working on AI-related initiatives or AI-driven product integrations.</span></div><div><span style="font-size: 11px;">Awareness or knowledge of IT security best practices as defined by ISO/SOC or similar</span></div></div></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>A leading global pharmaceutical company is seeking an AI Solutions Architect who is responsible for designing, governing, delivering, and evolving the enterprise AI technical architecture across the company.<br> Acting as the technical authority and delivery lead for AI within the AI Centre of Excellence, this role defines architectural standards, evaluates and governs AI platforms and solutions, prioritising off-the-shelf and vendor-led approaches, and ensures that all AI initiatives are scalable, secure, compliant, and aligned with the company's digital transformation strategy.<br> The AI Solutions Architect works closely with AI Engineers, IT Business Partners, AI Champions, and business function leaders to assess technical feasibility, lead end-to-end solution delivery, support AI Proof of Value (POV) execution, and translate strategic AI ambitions into sound, future-proof solutions, ensuring every initiative is delivered on a technically rigorous and governance-compliant foundation.<br> Responsibilities: 1.<br> Strategy &amp; Architecture Leadership Define and own the enterprise AI technical architecture framework, including reference architectures, design patterns, integration blueprints, and technology standards across cloud and on-premises environments Collaborate with the Architecture advisory board to ensure the AI architecture roadmap is aligned with the company's overall digital transformation strategy and enterprise IT architecture principles Evaluate emerging AI technologies, frameworks, and platforms, providing technical direction and recommendations to senior IT and business stakeholders Lead architectural governance for all AI initiatives, ensuring solutions adhere to approved standards, security requirements, regulatory constraints, and scalability principles Define and maintain the enterprise AI technology stack, including cloud AI services (Azure, AWS, GCP), MLOps platforms, data platforms, and integration middleware 2.<br> AI Solution Design &amp; Technical Oversight Architect end-to-end AI solutions across the company's key business domains including Manufacturing, Quality &amp; Regulatory Affairs, R&amp;D, Commercial, Supply Chain, HR, and Finance Produce high-quality architecture deliverables including solution design documents, architecture decision records (ADRs), technical specifications, data flow diagrams, and integration architecture blueprints Lead technical design reviews and architecture assessments for all AI initiatives in the portfolio, ensuring fitness for purpose, scalability, and compliance Define AI integration patterns with enterprise systems including SAP, MES, LIMS, CRM, and M365 ecosystems, ensuring seamless interoperability Guide AI Developers in translating architecture designs into well-structured, maintainable, and production-ready solutions Oversee the design of MLOps pipelines including model training, validation, deployment, monitoring, and retraining workflows 3.<br> Platform Engineering &amp; Infrastructure Own the architecture and governance of enterprise AI platforms including Microsoft Azure AI, Azure Machine Learning, Microsoft 365 Copilot, and other approved AI tooling Define cloud infrastructure architecture for AI workloads including compute, storage, networking, and security configurations aligned with the company IT standards Establish standards for model lifecycle management including versioning, registry, performance monitoring, drift detection, and retraining triggers Drive the design of data architecture components critical to AI including feature stores, data lakes, vector databases, and real-time data pipelines in collaboration with the Data &amp; Analytics team Ensure AI platforms meet GxP validation, 21 CFR Part 11, and audit trail requirements where applicable 4.<br> Governance, Compliance &amp; Responsible AI Embed regulatory and compliance requirements, including FDA AI/ML guidance, EMA requirements, GxP, GDPR, and HIPAA, into AI architecture design and review processes Define and enforce responsible AI architectural guardrails including model explainability, bias detection, fairness assessments, and human-in-the-loop design patterns Maintain AI architecture governance documentation including standards, patterns, approved toolsets, and deviation processes within the enterprise AI knowledge repository Coordinate with IT Security, Data Privacy, Legal, Quality Assurance, and Regulatory Affairs to ensure AI solutions meet all applicable oversight requirements Support E-AIAB governance processes by providing technical input into initiative assessments, vendor evaluations, and POV planning 5.<br> Technical Leadership &amp; Enablement Provide technical mentorship, code and architecture reviews, and hands-on guidance to the AI Developer team Define engineering best practices, coding standards, and DevOps/MLOps conventions for the AI team Collaborate with external vendors, implementation partners, and cloud providers to assess solutions, conduct technical due diligence, and ensure delivery quality Contribute technical expertise to vendor RFP/RFI processes, proof-of-concept evaluations, and contract assessments Represent the company's AI technical standards in cross-functional project delivery teams and steering committees 6.<br> Stakeholder Engagement &amp; Communication Translate complex technical architecture concepts into clear, accessible language for business stakeholders, executive leadership, and non-technical audiences Serve as the primary technical escalation point for AI platform issues, architecture deviations, and integration challenges Collaborate with IT Business Partners and AI Champions to provide technical feasibility input into AI opportunity assessments Participate in external pharmaceutical AI forums, cloud provider events, and technology conferences to maintain leading-edge awareness and contribute to the company's technical reputation Bachelor's degree in Computer Science, Information Technology, Software Engineering, Data Science, or related technical field Master's degree in Artificial Intelligence, Data Science, Computer Science, or related discipline is preferred Microsoft Azure Solutions Architect Expert, Azure AI Engineer Associate, or equivalent cloud architecture certification is preferred TOGAF or equivalent enterprise architecture certification is preferred 7–10 years of professional experience in IT, software engineering, data &amp; analytics, or AI/ML implementation 4–6 years of hands-on experience designing and delivering AI/ML solutions on cloud platforms (Azure, AWS, or GCP) in a production environment Proven track record of owning end-to-end AI solution architecture in a complex, cross-functional enterprise environment Experience with Microsoft Azure AI, Azure Machine Learning, and Microsoft 365 Copilot architecture and deployment is preferred Pharmaceutical, healthcare, life sciences, or other regulated industry experience is preferred Experience with GxP validation, 21 CFR Part 11, or regulatory technology compliance in an AI/ML context is preferred Skills: Technical Competencies: AI/ML Architecture &amp; Solution Design - Cloud Platform Architecture (Azure / AWS / GCP) - ML Ops &amp; Model Lifecycle Management - Enterprise Integration &amp; API Design - Data Architecture &amp; Data Engineering - AI Governance, Ethics &amp; Responsible AI - Pharmaceutical Regulatory Compliance (GxP, FDA, EMA) AI &amp; Technology Skills: Deep expertise in AI/ML architecture patterns, including supervised/unsupervised learning, NLP, computer vision, generative AI, and LLM-based solution design Strong hands-on proficiency with Azure AI Services, Azure Machine Learning, MLflow, or equivalent MLOps tooling Solid experience designing and deploying generative AI solutions including RAG architectures, LLM orchestration (LangChain, Semantic Kernel), and enterprise copilot patterns Strong command of enterprise integration architecture including REST APIs, event-driven architecture, message queues, and middleware platforms Proficiency in cloud infrastructure design including IaC (Terraform, Bicep), containerization (Docker, Kubernetes), and CI/CD pipelines Strong understanding of data architecture components including data lakes, lakehouses, feature stores, and vector databases Working knowledge of pharmaceutical business processes including GxP operations, quality management systems, and regulatory affairs workflows (Preferred) Solid understanding of AI governance frameworks, responsible AI principles, data privacy regulations (GDPR, HIPAA), and IT security principles relevant to AI deployment</span> </div>

<p><h4>Description</h4> <p>A leading global pharmaceutical company is seeking an AI solutions architect who is responsible for designing, governing, delivering, and evolving the enterprise AI technical architecture across the company. Acting as the technical authority and delivery lead for AI within the AI Centre of Excellence, this role defines architectural standards, evaluates and governs AI platforms and solutions, prioritising off-the-shelf and vendor-led approaches, and ensures that all AI initiatives are scalable, secure, compliant, and aligned with the company's digital transformation strategy. The AI solutions architect works closely with AI engineers, IT business partners, AI champions, and business function leaders to assess technical feasibility, lead end-to-end solution delivery, support AI proof of value (POV) execution, and translate strategic AI ambitions into sound, future-proof solutions, ensuring every initiative is delivered on a technically rigorous and governance-compliant foundation.</p> <h4>Responsibilities:</h4> <ol> <li><strong>Strategy & architecture leadership</strong><br> Define and own the enterprise AI technical architecture framework, including reference architectures, design patterns, integration blueprints, and technology standards across cloud and on-premises environments.<br> Collaborate with the architecture advisory board to ensure the AI architecture roadmap is aligned with the company's overall digital transformation strategy and enterprise IT architecture principles.<br> Evaluate emerging AI technologies, frameworks, and platforms, providing technical direction and recommendations to senior IT and business stakeholders.<br> Lead architectural governance for all AI initiatives, ensuring solutions adhere to approved standards, security requirements, regulatory constraints, and scalability principles.<br> Define and maintain the enterprise AI technology stack, including cloud AI services (Azure, AWS, GCP), MLOps platforms, data platforms, and integration middleware.</li> <li><strong>AI solution design & technical oversight</strong><br> Architect end-to-end AI solutions across the company's key business domains including manufacturing, quality & regulatory affairs, R&D, commercial, supply chain, HR, and finance.<br> Produce high-quality architecture deliverables including solution design documents, architecture decision records (ADRs), technical specifications, data flow diagrams, and integration architecture blueprints.<br> Lead technical design reviews and architecture assessments for all AI initiatives in the portfolio, ensuring fitness for purpose, scalability, and compliance.<br> Define AI integration patterns with enterprise systems including SAP, MES, LIMS, CRM, and M365 ecosystems, ensuring seamless interoperability.<br> Guide AI developers in translating architecture designs into well-structured, maintainable, and production-ready solutions.<br> Oversee the design of MLOps pipelines including model training, validation, deployment, monitoring, and retraining workflows.</li> <li><strong>Platform engineering & infrastructure</strong><br> Own the architecture and governance of enterprise AI platforms including Microsoft Azure AI, Azure Machine Learning, Microsoft 365 Copilot, and other approved AI tooling.<br> Define cloud infrastructure architecture for AI workloads including compute, storage, networking, and security configurations aligned with the company IT standards.<br> Establish standards for model lifecycle management including versioning, registry, performance monitoring, drift detection, and retraining triggers.<br> Drive the design of data architecture components critical to AI including feature stores, data lakes, vector databases, and real-time data pipelines in collaboration with the Data & Analytics team.<br> Ensure AI platforms meet GxP validation, 21 CFR Part 11, and audit trail requirements where applicable.</li> <li><strong>Governance, compliance & responsible AI</strong><br> Embed regulatory and compliance requirements, including FDA AI/ML guidance, EMA requirements, GxP, GDPR, and HIPAA, into AI architecture design and review processes.<br> Define and enforce responsible AI architectural guardrails including model explainability, bias detection, fairness assessments, and human-in-the-loop design patterns.<br> Maintain AI architecture governance documentation including standards, patterns, approved toolsets, and deviation processes within the enterprise AI knowledge repository.<br> Coordinate with IT security, data privacy, legal, quality assurance, and regulatory affairs to ensure AI solutions meet all applicable oversight requirements.<br> Support E-AIAB governance processes by providing technical input into initiative assessments, vendor evaluations, and POV planning.</li> <li><strong>Technical leadership & enablement</strong><br> Provide technical mentorship, code and architecture reviews, and hands-on guidance to the AI developer team.<br> Define engineering best practices, coding standards, and DevOps/MLOps conventions for the AI team.<br> Collaborate with external vendors, implementation partners, and cloud providers to assess solutions, conduct technical due diligence, and ensure delivery quality.<br> Contribute technical expertise to vendor RFP/RFI processes, proof-of-concept evaluations, and contract assessments.<br> Represent the company's AI technical standards in cross-functional project delivery teams and steering committees.</li> <li><strong>Stakeholder engagement & communication</strong><br> Translate complex technical architecture concepts into clear, accessible language for business stakeholders, executive leadership, and non-technical audiences.<br> Serve as the primary technical escalation point for AI platform issues, architecture deviations, and integration challenges.<br> Collaborate with IT business partners and AI champions to provide technical feasibility input into AI opportunity assessments.<br> Participate in external pharmaceutical AI forums, cloud provider events, and technology conferences to maintain leading-edge awareness and contribute to the company's technical reputation.</li> </ol> <h4>Requirements</h4> <p>Bachelor's degree in computer science, information technology, software engineering, data science, or related technical field.<br> Master's degree in artificial intelligence, data science, computer science, or related discipline is preferred.<br> Microsoft Azure Solutions Architect Expert, Azure AI Engineer Associate, or equivalent cloud architecture certification is preferred.<br> TOGAF or equivalent enterprise architecture certification is preferred.<br> 7–10 years of professional experience in IT, software engineering, data & analytics, or AI/ML implementation.<br> 4–6 years of hands-on experience designing and delivering AI/ML solutions on cloud platforms (Azure, AWS, or GCP) in a production environment.<br> Proven track record of owning end-to-end AI solution architecture in a complex, cross-functional enterprise environment.<br> Experience with Microsoft Azure AI, Azure Machine Learning, and Microsoft 365 Copilot architecture and deployment is preferred.<br> Pharmaceutical, healthcare, life sciences, or other regulated industry experience is preferred.<br> Experience with GxP validation, 21 CFR Part 11, or regulatory technology compliance in an AI/ML context is preferred.</p> <h4>Skills:</h4> <p><strong>Technical competencies:</strong><br> AI/ML architecture & solution design - cloud platform architecture (Azure / AWS / GCP) - ML ops & model lifecycle management - enterprise integration & API design - data architecture & data engineering - AI governance, ethics & responsible AI - pharmaceutical regulatory compliance (GxP, FDA, EMA)</p> <p><strong>AI & technology skills:</strong><br> Deep expertise in AI/ML architecture patterns, including supervised/unsupervised learning, NLP, computer vision, generative AI, and LLM-based solution design.<br> Strong hands-on proficiency with Azure AI services, Azure Machine Learning, MLflow, or equivalent MLOps tooling.<br> Solid experience designing and deploying generative AI solutions including RAG architectures, LLM orchestration (LangChain, Semantic Kernel), and enterprise copilot patterns.<br> Strong command of enterprise integration architecture including REST APIs, event-driven architecture, message queues, and middleware platforms.<br> Proficiency in cloud infrastructure design including IaC (Terraform, Bicep), containerization (Docker, Kubernetes), and CI/CD pipelines.<br> Strong understanding of data architecture components including data lakes, lakehouses, feature stores, and vector databases.<br> Working knowledge of pharmaceutical business processes including GxP operations, quality management systems, and regulatory affairs workflows (preferred).<br> Solid understanding of AI governance frameworks, responsible AI principles, data privacy regulations (GDPR, HIPAA), and IT security principles relevant to AI deployment.</p></p><p></p>

<p><h4>Description</h4> <p>A leading global pharmaceutical company is seeking an AI solutions architect who is responsible for designing, governing, delivering, and evolving the enterprise AI technical architecture across the company. Acting as the technical authority and delivery lead for AI within the AI Centre of Excellence, this role defines architectural standards, evaluates and governs AI platforms and solutions, prioritising off-the-shelf and vendor-led approaches, and ensures that all AI initiatives are scalable, secure, compliant, and aligned with the company's digital transformation strategy. The AI solutions architect works closely with AI engineers, IT business partners, AI champions, and business function leaders to assess technical feasibility, lead end-to-end solution delivery, support AI proof of value (POV) execution, and translate strategic AI ambitions into sound, future-proof solutions, ensuring every initiative is delivered on a technically rigorous and governance-compliant foundation.</p> <h4>Responsibilities:</h4> <ol> <li><strong>Strategy & architecture leadership</strong><br> Define and own the enterprise AI technical architecture framework, including reference architectures, design patterns, integration blueprints, and technology standards across cloud and on-premises environments.<br> Collaborate with the architecture advisory board to ensure the AI architecture roadmap is aligned with the company's overall digital transformation strategy and enterprise IT architecture principles.<br> Evaluate emerging AI technologies, frameworks, and platforms, providing technical direction and recommendations to senior IT and business stakeholders.<br> Lead architectural governance for all AI initiatives, ensuring solutions adhere to approved standards, security requirements, regulatory constraints, and scalability principles.<br> Define and maintain the enterprise AI technology stack, including cloud AI services (Azure, AWS, GCP), MLOps platforms, data platforms, and integration middleware.</li> <li><strong>AI solution design & technical oversight</strong><br> Architect end-to-end AI solutions across the company's key business domains including manufacturing, quality & regulatory affairs, R&D, commercial, supply chain, HR, and finance.<br> Produce high-quality architecture deliverables including solution design documents, architecture decision records (ADRs), technical specifications, data flow diagrams, and integration architecture blueprints.<br> Lead technical design reviews and architecture assessments for all AI initiatives in the portfolio, ensuring fitness for purpose, scalability, and compliance.<br> Define AI integration patterns with enterprise systems including SAP, MES, LIMS, CRM, and M365 ecosystems, ensuring seamless interoperability.<br> Guide AI developers in translating architecture designs into well-structured, maintainable, and production-ready solutions.<br> Oversee the design of MLOps pipelines including model training, validation, deployment, monitoring, and retraining workflows.</li> <li><strong>Platform engineering & infrastructure</strong><br> Own the architecture and governance of enterprise AI platforms including Microsoft Azure AI, Azure Machine Learning, Microsoft 365 Copilot, and other approved AI tooling.<br> Define cloud infrastructure architecture for AI workloads including compute, storage, networking, and security configurations aligned with the company IT standards.<br> Establish standards for model lifecycle management including versioning, registry, performance monitoring, drift detection, and retraining triggers.<br> Drive the design of data architecture components critical to AI including feature stores, data lakes, vector databases, and real-time data pipelines in collaboration with the Data & Analytics team.<br> Ensure AI platforms meet GxP validation, 21 CFR Part 11, and audit trail requirements where applicable.</li> <li><strong>Governance, compliance & responsible AI</strong><br> Embed regulatory and compliance requirements, including FDA AI/ML guidance, EMA requirements, GxP, GDPR, and HIPAA, into AI architecture design and review processes.<br> Define and enforce responsible AI architectural guardrails including model explainability, bias detection, fairness assessments, and human-in-the-loop design patterns.<br> Maintain AI architecture governance documentation including standards, patterns, approved toolsets, and deviation processes within the enterprise AI knowledge repository.<br> Coordinate with IT security, data privacy, legal, quality assurance, and regulatory affairs to ensure AI solutions meet all applicable oversight requirements.<br> Support E-AIAB governance processes by providing technical input into initiative assessments, vendor evaluations, and POV planning.</li> <li><strong>Technical leadership & enablement</strong><br> Provide technical mentorship, code and architecture reviews, and hands-on guidance to the AI developer team.<br> Define engineering best practices, coding standards, and DevOps/MLOps conventions for the AI team.<br> Collaborate with external vendors, implementation partners, and cloud providers to assess solutions, conduct technical due diligence, and ensure delivery quality.<br> Contribute technical expertise to vendor RFP/RFI processes, proof-of-concept evaluations, and contract assessments.<br> Represent the company's AI technical standards in cross-functional project delivery teams and steering committees.</li> <li><strong>Stakeholder engagement & communication</strong><br> Translate complex technical architecture concepts into clear, accessible language for business stakeholders, executive leadership, and non-technical audiences.<br> Serve as the primary technical escalation point for AI platform issues, architecture deviations, and integration challenges.<br> Collaborate with IT business partners and AI champions to provide technical feasibility input into AI opportunity assessments.<br> Participate in external pharmaceutical AI forums, cloud provider events, and technology conferences to maintain leading-edge awareness and contribute to the company's technical reputation.</li> </ol> <h4>Requirements</h4> <p>Bachelor's degree in computer science, information technology, software engineering, data science, or related technical field.<br> Master's degree in artificial intelligence, data science, computer science, or related discipline is preferred.<br> Microsoft Azure Solutions Architect Expert, Azure AI Engineer Associate, or equivalent cloud architecture certification is preferred.<br> TOGAF or equivalent enterprise architecture certification is preferred.<br> 7–10 years of professional experience in IT, software engineering, data & analytics, or AI/ML implementation.<br> 4–6 years of hands-on experience designing and delivering AI/ML solutions on cloud platforms (Azure, AWS, or GCP) in a production environment.<br> Proven track record of owning end-to-end AI solution architecture in a complex, cross-functional enterprise environment.<br> Experience with Microsoft Azure AI, Azure Machine Learning, and Microsoft 365 Copilot architecture and deployment is preferred.<br> Pharmaceutical, healthcare, life sciences, or other regulated industry experience is preferred.<br> Experience with GxP validation, 21 CFR Part 11, or regulatory technology compliance in an AI/ML context is preferred.</p> <h4>Skills:</h4> <p><strong>Technical competencies:</strong><br> AI/ML architecture & solution design - cloud platform architecture (Azure / AWS / GCP) - ML ops & model lifecycle management - enterprise integration & API design - data architecture & data engineering - AI governance, ethics & responsible AI - pharmaceutical regulatory compliance (GxP, FDA, EMA)</p> <p><strong>AI & technology skills:</strong><br> Deep expertise in AI/ML architecture patterns, including supervised/unsupervised learning, NLP, computer vision, generative AI, and LLM-based solution design.<br> Strong hands-on proficiency with Azure AI services, Azure Machine Learning, MLflow, or equivalent MLOps tooling.<br> Solid experience designing and deploying generative AI solutions including RAG architectures, LLM orchestration (LangChain, Semantic Kernel), and enterprise copilot patterns.<br> Strong command of enterprise integration architecture including REST APIs, event-driven architecture, message queues, and middleware platforms.<br> Proficiency in cloud infrastructure design including IaC (Terraform, Bicep), containerization (Docker, Kubernetes), and CI/CD pipelines.<br> Strong understanding of data architecture components including data lakes, lakehouses, feature stores, and vector databases.<br> Working knowledge of pharmaceutical business processes including GxP operations, quality management systems, and regulatory affairs workflows (preferred).<br> Solid understanding of AI governance frameworks, responsible AI principles, data privacy regulations (GDPR, HIPAA), and IT security principles relevant to AI deployment.</p></p><p></p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>A leading global pharmaceutical company is seeking an AI Solutions Architect who is responsible for designing, governing, delivering, and evolving the enterprise AI technical architecture across the company. Acting as the technical authority and delivery lead for AI within the AI Centre of Excellence, this role defines architectural standards, evaluates and governs AI platforms and solutions, prioritising off-the-shelf and vendor-led approaches, and ensures that all AI initiatives are scalable, secure, compliant, and aligned with the company's digital transformation strategy. The AI Solutions Architect works closely with AI Engineers, IT Business Partners, AI Champions, and business function leaders to assess technical feasibility, lead end-to-end solution delivery, support AI Proof of Value (POV) execution, and translate strategic AI ambitions into sound, future-proof solutions, ensuring every initiative is delivered on a technically rigorous and governance-compliant foundation.</p><p>Responsibilities:</p><ol><li>Strategy &amp; Architecture Leadership<ul><li>Define and own the enterprise AI technical architecture framework, including reference architectures, design patterns, integration blueprints, and technology standards across cloud and on-premises environments</li><li>Collaborate with the Architecture advisory board to ensure the AI architecture roadmap is aligned with the company's overall digital transformation strategy and enterprise IT architecture principles</li><li>Evaluate emerging AI technologies, frameworks, and platforms, providing technical direction and recommendations to senior IT and business stakeholders</li><li>Lead architectural governance for all AI initiatives, ensuring solutions adhere to approved standards, security requirements, regulatory constraints, and scalability principles</li><li>Define and maintain the enterprise AI technology stack, including cloud AI services (Azure, AWS, GCP), MLOps platforms, data platforms, and integration middleware</li></ul></li><li>AI Solution Design &amp; Technical Oversight<ul><li>Architect end-to-end AI solutions across the company's key business domains including Manufacturing, Quality &amp; Regulatory Affairs, R&amp;D, Commercial, Supply Chain, HR, and Finance</li><li>Produce high-quality architecture deliverables including solution design documents, architecture decision records (ADRs), technical specifications, data flow diagrams, and integration architecture blueprints</li><li>Lead technical design reviews and architecture assessments for all AI initiatives in the portfolio, ensuring fitness for purpose, scalability, and compliance</li><li>Define AI integration patterns with enterprise systems including SAP, MES, LIMS, CRM, and M365 ecosystems, ensuring seamless interoperability</li><li>Guide AI Developers in translating architecture designs into well-structured, maintainable, and production-ready solutions</li><li>Oversee the design of MLOps pipelines including model training, validation, deployment, monitoring, and retraining workflows</li></ul></li><li>Platform Engineering &amp; Infrastructure<ul><li>Own the architecture and governance of enterprise AI platforms including Microsoft Azure AI, Azure Machine Learning, Microsoft 365 Copilot, and other approved AI tooling</li><li>Define cloud infrastructure architecture for AI workloads including compute, storage, networking, and security configurations aligned with the company IT standards</li><li>Establish standards for model lifecycle management including versioning, registry, performance monitoring, drift detection, and retraining triggers</li><li>Drive the design of data architecture components critical to AI including feature stores, data lakes, vector databases, and real-time data pipelines in collaboration with the Data &amp; Analytics team</li><li>Ensure AI platforms meet GxP validation, 21 CFR Part 11, and audit trail requirements where applicable</li></ul></li><li>Governance, Compliance &amp; Responsible AI<ul><li>Embed regulatory and compliance requirements, including FDA AI/ML guidance, EMA requirements, GxP, GDPR, and HIPAA, into AI architecture design and review processes</li><li>Define and enforce responsible AI architectural guardrails including model explainability, bias detection, fairness assessments, and human-in-the-loop design patterns</li><li>Maintain AI architecture governance documentation including standards, patterns, approved toolsets, and deviation processes within the enterprise AI knowledge repository</li><li>Coordinate with IT Security, Data Privacy, Legal, Quality Assurance, and Regulatory Affairs to ensure AI solutions meet all applicable oversight requirements</li><li>Support E-AIAB governance processes by providing technical input into initiative assessments, vendor evaluations, and POV planning</li></ul></li><li>Technical Leadership &amp; Enablement<ul><li>Provide technical mentorship, code and architecture reviews, and hands-on guidance to the AI Developer team</li><li>Define engineering best practices, coding standards, and DevOps/MLOps conventions for the AI team</li><li>Collaborate with external vendors, implementation partners, and cloud providers to assess solutions, conduct technical due diligence, and ensure delivery quality</li><li>Contribute technical expertise to vendor RFP/RFI processes, proof-of-concept evaluations, and contract assessments</li><li>Represent the company's AI technical standards in cross-functional project delivery teams and steering committees</li></ul></li><li>Stakeholder Engagement &amp; Communication<ul><li>Translate complex technical architecture concepts into clear, accessible language for business stakeholders, executive leadership, and non-technical audiences</li><li>Serve as the primary technical escalation point for AI platform issues, architecture deviations, and integration challenges</li><li>Collaborate with IT Business Partners and AI Champions to provide technical feasibility input into AI opportunity assessments</li><li>Participate in external pharmaceutical AI forums, cloud provider events, and technology conferences to maintain leading-edge awareness and contribute to the company's technical reputation</li></ul></li></ol></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's degree in Computer Science, Information Technology, Software Engineering, Data Science, or related technical field</li><li>Master's degree in Artificial Intelligence, Data Science, Computer Science, or related discipline is preferred</li><li>Microsoft Azure Solutions Architect Expert, Azure AI Engineer Associate, or equivalent cloud architecture certification is preferred</li><li>TOGAF or equivalent enterprise architecture certification is preferred</li><li>7-10 years of professional experience in IT, software engineering, data &amp; analytics, or AI/ML implementation</li><li>4-6 years of hands-on experience designing and delivering AI/ML solutions on cloud platforms (Azure, AWS, or GCP) in a production environment</li><li>Proven track record of owning end-to-end AI solution architecture in a complex, cross-functional enterprise environment</li><li>Experience with Microsoft Azure AI, Azure Machine Learning, and Microsoft 365 Copilot architecture and deployment is preferred</li><li>Pharmaceutical, healthcare, life sciences, or other regulated industry experience is preferred</li><li>Experience with GxP validation, 21 CFR Part 11, or regulatory technology compliance in an AI/ML context is preferred</li></ul><p>Skills:</p><p><strong>Technical Competencies:</strong></p><ul><li>AI/ML Architecture &amp; Solution Design</li><li>Cloud Platform Architecture (Azure / AWS / GCP)</li><li>ML Ops &amp; Model Lifecycle Management</li><li>Enterprise Integration &amp; API Design</li><li>Data Architecture &amp; Data Engineering</li><li>AI Governance, Ethics &amp; Responsible AI</li><li>Pharmaceutical Regulatory Compliance (GxP, FDA, EMA)</li></ul><p><strong>AI &amp; Technology Skills:</strong></p><ul><li>Deep expertise in AI/ML architecture patterns, including supervised/unsupervised learning, NLP, computer vision, generative AI, and LLM-based solution design</li><li>Strong hands-on proficiency with Azure AI Services, Azure Machine Learning, MLflow, or equivalent MLOps tooling</li><li>Solid experience designing and deploying generative AI solutions including RAG architectures, LLM orchestration (LangChain, Semantic Kernel), and enterprise copilot patterns</li><li>Strong command of enterprise integration architecture including REST APIs, event-driven architecture, message queues, and middleware platforms</li><li>Proficiency in cloud infrastructure design including IaC (Terraform, Bicep), containerization (Docker, Kubernetes), and CI/CD pipelines</li><li>Strong understanding of data architecture components including data lakes, lakehouses, feature stores, and vector databases</li><li>Working knowledge of pharmaceutical business processes including GxP operations, quality management systems, and regulatory affairs workflows (Preferred)</li><li>Solid understanding of AI governance frameworks, responsible AI principles, data privacy regulations (GDPR, HIPAA), and IT security principles relevant to AI deployment</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p> <strong>Overview</strong> </p> <p>GovCIO is currently hiring for a Journeyman Computer Systems Analyst to support Special Operations communication. This position will be in Jordan and will be an onsite position</p> <p> <strong>Responsibilities</strong> </p> <p>Gathers information concerning the capabilities of Company products; investigates the technical capabilities of Company products and competing equipment and/or solutions; stays abreast of developments in hardware and software. Generates quantifiable requirements based on customer description, system planning and design, and ensures requirements comply through formal verification methods. Translates high level product development strategies into network and system requirement specifications and works with other engineering disciplines to develop lower level detailed implementation requirements. Establishes and coordinates development of standards, practices, and procedures as related to the overall network and system development. Designs interfaces and brings network and system elements together so they work as a whole. Assesses performance using evaluation criteria and technical performance measures. Customer liaison and support for business development activities and to understand and shape requirements.</p> <p> </p> <ul> <li>Develop and implement QoS for a voice/video/data network environment</li> <li>Use network/application performance management tools to troubleshoot, analyze, test, and provide recommended solutions for performance problems</li> <li>Develops and generates conceptual, logical, and physical network architectures, resulting in documents and drawings, testing analyses, test plans, and risk assessments to ensure sound architecture</li> <li>Provide operational support services for WAN and LAN technologies</li> <li>Plans network layouts and configures systems to user environments</li> <li>Analyzes network topologies and traffic, and capacity requirements</li> <li>Work with DOD customers to fill information gaps and communicate architecture and technical solutions</li> <li>Supports the acquisition of hardware and software, as well as needed</li> <li>Develop detailed logical designs in areas of: Gigabit Ethernet Switching/Routing (EIGRP &amp; BGPv4), QOS, DMVPN, IPv4 &amp; Multicast architecture</li> <li>Perform Network Engineering and Architecture Duties for a Wide Area Networking environment</li> </ul> <p> <strong>Qualifications</strong> </p> <p>Bachelor's with 5 - 8 years (or commensurate experience)</p> <p> </p> <p>Required Skills and Experience</p> <ul> <li>Clearance Required: TS/SCI</li> <li>CompTIA Security+ Plus Certification</li> <li>Cisco Certified Network Professional (CCNP) certification (copy presented with application)</li> <li>3+ years of Cisco Routing and Switching experience; demonstrated technical proficiency in LAN, WAN, Network Management, and Security. Knowledge of DHCP, DNS,</li> <li>Demonstrated ability to handle several projects simultaneously</li> <li>Must have a strong, proven background with senior-level experience with Cisco Routing and Switching</li> <li>Strong attention to detail, good documentation skills, and ability to write clear, concise project reports</li> <li>Strong troubleshooting and critical thinking skills</li> <li>Demonstrated ability to function with minimal instruction or supervision, or as a part of a larger team reporting to formal project management. Strong communication and organizational skills</li> <li>Intermediate to high-level experience in designing and implementing enterprise-level networks</li> <li>Intermediate to expert-level knowledge of EIGRP, BGP, QOS, DMVPN, and other WAN-based technologies</li> <li>3+ years of Network Integration Experience</li> <li>Demonstrated experience with Layer 2, 3, and 4 networking - Advanced knowledge and experience with EIGRP and BGP routing protocols</li> <li>Advanced knowledge of multicast protocols/architecture</li> <li>Current and active U.S. Passport</li> <li>Current and active U.S. Driver's License</li> <li>Must have the ability to wear personal protective equipment, including a protective mask, ballistic helmet, body armor, and chemical/biological protective garments</li> <li>Medically/Physically fit for deployment with U.S. Military Forces Outside the Continental United States (OCONUS) under the provisions of USCENTCOM Medical Standards</li> </ul> <p>Preferred Skills and Experience:</p> <ul> <li>M.S. in Cybersecurity and Information Assurance</li> <li>AWS Certified Cloud Practitioner</li> <li>LPI Linux Essentials</li> <li>Experience support U.S. Special Operations</li> <li>Experience with Agile development methodologies and working with Agile teams using collaboration tools such as Gitlab.</li> <li>Experience with working with CM tools, including Gitlab, Git-centric, and CI/CD workflows</li> </ul> <p> </p> <p><br></p></div></section>

<p><h4>Description</h4> <p>The Senior Presales Engineer – Enterprise & End-User Solutions is responsible for designing, positioning, and supporting enterprise infrastructure and end-user computing solutions for customers across the region. The role serves as a trusted technical advisor throughout the sales lifecycle, supporting strategic customer engagements, solution architecture, technical proposals, and solution validation activities.</p> <p>Working closely with sales, vendors, and delivery teams, the engineer develops scalable, secure, and modern infrastructure solutions aligned with customer business and technical requirements. The role focuses on enterprise infrastructure, virtualization, hybrid cloud, end-user computing, and business continuity solutions while supporting digital transformation and data center modernization initiatives.</p> <h4>Requirements:</h4> <h4>Solution architecture & presales leadership</h4> <ul> <li>Lead the design and positioning of enterprise infrastructure and end-user computing solutions aligned with customer requirements and business objectives</li> <li>Develop: <ul> <li>High-level designs (HLD)</li> <li>Solution architecture documents</li> <li>Technical proposals</li> <li>Bill of materials (BoM)</li> <li>Compliance matrices</li> <li>RFP/RFI/RFQ responses</li> </ul> </li> <li>Lead solution sizing, architecture validation, and technical assessments for complex customer environments</li> </ul> <h4>Customer engagement & technical advisory</h4> <ul> <li>Conduct customer workshops, technical presentations, demonstrations, and architecture discussions</li> <li>Engage with enterprise and government customers to understand business and technical requirements</li> <li>Translate customer challenges into scalable infrastructure and end-user solutions</li> <li>Support opportunity qualification and strategic solution positioning alongside sales teams</li> <li>Lead proof of concepts (PoCs) and technical evaluation activities</li> </ul> <h4>Enterprise infrastructure solutions</h4> <p>Design and position solutions across:</p> <ul> <li>Servers (rack, blade, hyperconverged)</li> <li>Enterprise storage solutions (SAN, NAS, SDS)</li> <li>Virtualization platforms</li> <li>Hyperconverged infrastructure (HCI)</li> <li>Backup and disaster recovery solutions</li> <li>Data center modernization initiatives</li> </ul> <p>Design high availability and business continuity architectures aligned with customer requirements</p> <h4>Cloud & platform solutions</h4> <ul> <li>Support hybrid cloud and private cloud architecture initiatives</li> <li>Contribute to container platform discussions including: <ul> <li>Kubernetes</li> <li>OpenShift</li> </ul> </li> <li>Support automation and orchestration solution positioning with foundational knowledge of cloud-native technologies</li> </ul> <h4>End-user computing solutions</h4> <ul> <li>Design and support solutions across: <ul> <li>VDI and desktop virtualization</li> <li>Endpoint management (UEM)</li> <li>Collaboration solutions</li> <li>Laptops, workstations, and thin clients</li> <li>OS deployment and lifecycle management</li> </ul> </li> </ul> <h4>Vendor & cross-functional collaboration</h4> <ul> <li>Coordinate with vendors for: <ul> <li>Design validation</li> <li>Technical alignment</li> <li>Commercial and pricing support</li> </ul> </li> <li>Work closely with sales and delivery teams to ensure successful solution alignment and project handover</li> <li>Support customer success initiatives through ongoing technical engagement where required</li> </ul> <h4>Technical leadership & knowledge sharing</h4> <ul> <li>Mentor junior and mid-level engineers across enterprise infrastructure technologies</li> <li>Lead internal technical knowledge-sharing and enablement sessions</li> <li>Contribute to technical standards, reusable templates, and best practice frameworks</li> <li>Support certification and capability development initiatives within the team</li> </ul> <h4>Documentation & best practices</h4> <ul> <li>Maintain accurate technical documentation and solution records</li> <li>Ensure proposed solutions align with customer standards and industry best practices</li> <li>Contribute to continuous improvement of technical templates, solution frameworks, and presales processes</li> </ul> <h4>Requirements</h4> <ul> <li>Bachelor’s degree in Computer Engineering, Information Technology, or a related field</li> <li>7+ years of experience in enterprise infrastructure presales, solution architecture, or system integration environments</li> <li>Strong expertise in: <ul> <li>Enterprise infrastructure and data center technologies</li> <li>Virtualization and HCI platforms</li> <li>Backup and disaster recovery solutions</li> <li>End-user computing and VDI environments</li> <li>Hybrid cloud and private cloud architectures</li> </ul> </li> <li>Strong architecture, sizing, and infrastructure design capabilities</li> <li>Good understanding of: <ul> <li>Containers and Kubernetes platforms</li> <li>Automation and orchestration concepts</li> <li>High availability and disaster recovery architectures</li> </ul> </li> <li>Hands-on or presales experience with one or more of the following vendors and technologies: <ul> <li>Dell Technologies (Servers, Storage, VxRail, PowerStore)</li> <li>Nutanix</li> <li>VMware / Broadcom</li> <li>Red Hat OS and OpenShift</li> <li>Veeam / Cohesity</li> <li>Huawei</li> <li>Citrix / Omnissa (VDI)</li> <li>IBM Hardware</li> </ul> </li> <li>Proven experience designing and positioning enterprise data center and end-user solutions</li> <li>Strong experience preparing technical proposals, compliance matrices, and customer presentations</li> <li>Experience supporting enterprise and government customer engagements is preferred</li> </ul> <h4>Certifications (Preferred)</h4> <ul> <li>VMware (VCP)</li> <li>Nutanix (NCP)</li> <li>Dell Technologies certifications</li> <li>Veeam, Cohesity, or backup-related certifications</li> <li>Red Hat certifications</li> <li>Oracle Hardware certifications</li> <li>Huawei certifications</li> </ul></p><p></p>

<p><h4>Description</h4> <p>The Senior Presales Engineer – Enterprise & End-User Solutions is responsible for designing, positioning, and supporting enterprise infrastructure and end-user computing solutions for customers across the region. The role serves as a trusted technical advisor throughout the sales lifecycle, supporting strategic customer engagements, solution architecture, technical proposals, and solution validation activities.</p> <p>Working closely with sales, vendors, and delivery teams, the engineer develops scalable, secure, and modern infrastructure solutions aligned with customer business and technical requirements. The role focuses on enterprise infrastructure, virtualization, hybrid cloud, end-user computing, and business continuity solutions while supporting digital transformation and data center modernization initiatives.</p> <h4>Requirements:</h4> <h4>Solution architecture & presales leadership</h4> <ul> <li>Lead the design and positioning of enterprise infrastructure and end-user computing solutions aligned with customer requirements and business objectives</li> <li>Develop: <ul> <li>High-level designs (HLD)</li> <li>Solution architecture documents</li> <li>Technical proposals</li> <li>Bill of materials (BoM)</li> <li>Compliance matrices</li> <li>RFP/RFI/RFQ responses</li> </ul> </li> <li>Lead solution sizing, architecture validation, and technical assessments for complex customer environments</li> </ul> <h4>Customer engagement & technical advisory</h4> <ul> <li>Conduct customer workshops, technical presentations, demonstrations, and architecture discussions</li> <li>Engage with enterprise and government customers to understand business and technical requirements</li> <li>Translate customer challenges into scalable infrastructure and end-user solutions</li> <li>Support opportunity qualification and strategic solution positioning alongside sales teams</li> <li>Lead proof of concepts (PoCs) and technical evaluation activities</li> </ul> <h4>Enterprise infrastructure solutions</h4> <p>Design and position solutions across:</p> <ul> <li>Servers (rack, blade, hyperconverged)</li> <li>Enterprise storage solutions (SAN, NAS, SDS)</li> <li>Virtualization platforms</li> <li>Hyperconverged infrastructure (HCI)</li> <li>Backup and disaster recovery solutions</li> <li>Data center modernization initiatives</li> </ul> <p>Design high availability and business continuity architectures aligned with customer requirements</p> <h4>Cloud & platform solutions</h4> <ul> <li>Support hybrid cloud and private cloud architecture initiatives</li> <li>Contribute to container platform discussions including: <ul> <li>Kubernetes</li> <li>OpenShift</li> </ul> </li> <li>Support automation and orchestration solution positioning with foundational knowledge of cloud-native technologies</li> </ul> <h4>End-user computing solutions</h4> <ul> <li>Design and support solutions across: <ul> <li>VDI and desktop virtualization</li> <li>Endpoint management (UEM)</li> <li>Collaboration solutions</li> <li>Laptops, workstations, and thin clients</li> <li>OS deployment and lifecycle management</li> </ul> </li> </ul> <h4>Vendor & cross-functional collaboration</h4> <ul> <li>Coordinate with vendors for: <ul> <li>Design validation</li> <li>Technical alignment</li> <li>Commercial and pricing support</li> </ul> </li> <li>Work closely with sales and delivery teams to ensure successful solution alignment and project handover</li> <li>Support customer success initiatives through ongoing technical engagement where required</li> </ul> <h4>Technical leadership & knowledge sharing</h4> <ul> <li>Mentor junior and mid-level engineers across enterprise infrastructure technologies</li> <li>Lead internal technical knowledge-sharing and enablement sessions</li> <li>Contribute to technical standards, reusable templates, and best practice frameworks</li> <li>Support certification and capability development initiatives within the team</li> </ul> <h4>Documentation & best practices</h4> <ul> <li>Maintain accurate technical documentation and solution records</li> <li>Ensure proposed solutions align with customer standards and industry best practices</li> <li>Contribute to continuous improvement of technical templates, solution frameworks, and presales processes</li> </ul> <h4>Requirements</h4> <ul> <li>Bachelor’s degree in Computer Engineering, Information Technology, or a related field</li> <li>7+ years of experience in enterprise infrastructure presales, solution architecture, or system integration environments</li> <li>Strong expertise in: <ul> <li>Enterprise infrastructure and data center technologies</li> <li>Virtualization and HCI platforms</li> <li>Backup and disaster recovery solutions</li> <li>End-user computing and VDI environments</li> <li>Hybrid cloud and private cloud architectures</li> </ul> </li> <li>Strong architecture, sizing, and infrastructure design capabilities</li> <li>Good understanding of: <ul> <li>Containers and Kubernetes platforms</li> <li>Automation and orchestration concepts</li> <li>High availability and disaster recovery architectures</li> </ul> </li> <li>Hands-on or presales experience with one or more of the following vendors and technologies: <ul> <li>Dell Technologies (Servers, Storage, VxRail, PowerStore)</li> <li>Nutanix</li> <li>VMware / Broadcom</li> <li>Red Hat OS and OpenShift</li> <li>Veeam / Cohesity</li> <li>Huawei</li> <li>Citrix / Omnissa (VDI)</li> <li>IBM Hardware</li> </ul> </li> <li>Proven experience designing and positioning enterprise data center and end-user solutions</li> <li>Strong experience preparing technical proposals, compliance matrices, and customer presentations</li> <li>Experience supporting enterprise and government customer engagements is preferred</li> </ul> <h4>Certifications (Preferred)</h4> <ul> <li>VMware (VCP)</li> <li>Nutanix (NCP)</li> <li>Dell Technologies certifications</li> <li>Veeam, Cohesity, or backup-related certifications</li> <li>Red Hat certifications</li> <li>Oracle Hardware certifications</li> <li>Huawei certifications</li> </ul></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>About Maqsam: Maqsam is the leading Arabic AI-powered Contact Center Solution in the MENA region designed to revolutionize customer experience.<br> Leveraging groundbreaking advancements in AI technology, Maqsam has spearheaded accurate Arabic Call Transcription, advanced analytics, and insights, along with unique AI modeling utilizing its in-house designed LLM.<br> Your Opportunity: We are seeking a highly experienced Senior Software Engineer to act as a technical pillar within our innovative engineering team.<br> This role is ideal for a high-impact Individual who thrives on autonomy and scale.<br> You will be responsible for driving massive, complex projects from conceptualization and architectural design all the way to implementation, deployment, and landing.<br> You will operate at a high level, providing technical leadership across multiple teams.<br> By working closely with product managers, leadership, and engineers across the company, you will shape our technical strategy, tackle our most difficult scaling challenges, and continuously broaden the capabilities of our cutting-edge AI and contact center solutions.<br> Your Top Responsibilities: End-to-End Ownership: Drive massive, cross-functional engineering projects from raw concept to successful production deployment and monitoring.<br> Architectural Leadership: Lead the design and architecture of highly available, scalable, and robust systems, services, and databases that span across multiple engineering teams.<br> Technical Force Multiplier: Set the standard for engineering excellence.<br> Conduct rigorous code reviews, establish best practices, and improve our development and deployment pipelines and strategies.<br> Complex Problem Solving: Debug, profile, and troubleshoot the most complex systemic and performance issues within a high-concurrency, real-time SaaS environment.<br> Cross-Team Alignment: Act as a technical anchor, collaborating with various squads to ensure architectural consistency, and the strategic reduction of technical debt.<br> Mentorship: Elevate the entire engineering team by mentoring mid-level and junior engineers, guiding their technical growth, and helping ramp up new joiners.<br> What We Expect from You: 5+ years of software engineering experience , with a heavy focus on backend or full-stack development in a high-scale SaaS environment.<br> Elite Independent Contributor Capabilities: Proven track record of independently leading large-scale technical initiatives and delivering production-ready, highly optimized software.<br> Deep Architectural Knowledge: Advanced expertise in system design, distributed systems, caching strategies, and API design optimized for high availability.<br> Database Mastery: Extensive experience with relational databases (e.<br>g., PostgreSQL), including schema design, query optimization, and handling data at scale.<br> Operational Excellence: Strong foundational knowledge of cloud infrastructure, observability, and deploying robust features.<br> Adaptability: A proven ability to rapidly learn, evaluate, and integrate bleeding-edge technologies and frameworks.<br> Additional Information (Added Advantages): Leadership &amp; Management: While this is highly suited for an Individual Contributor, previous experience in engineering management, formal Tech Lead roles, or people management is a strong plus .<br> Domain Experience: Experience working on VoIP-related projects (WebRTC, SIP, etc.<br>) or real-time communication platforms is a strong plus.<br> Stack Alignment: Deep expertise with Ruby on Rails (or similar frameworks), JavaScript/Vue.<br>js (or comparable frontend frameworks), and PostgreSQL is preferred.<br> AI/LLM Exposure: Experience integrating or building around Large Language Models, machine learning pipelines, or data-heavy applications.<br> Education: A degree in Computer Science, Engineering, or a related field is preferred.<br> What We Provide: Join a world-class team at Maqsam, where your growth is our priority.<br> Here’s what you can expect: High-Impact Work: The autonomy to drive massive projects that directly impact our core business and thousands of users.<br> A Collaborative and Friendly Environment: Work with talented, seasoned professionals who are passionate about what they do.<br> Personal and Professional Growth: Opportunities to learn, lead, and cement yourself as a world-class engineering leader.<br> Fair Compensation: We deeply value your contribution and expertise.<br> Transparency: A culture that thrives on open communication and flat technical discussions.<br> Benefits: First-class health insurance, and more.<br> Part of Something Big: Be proud of being part of the most exciting AI-powered SaaS business in the MENA region.<br> Ready to lead at Maqsam?<br> Apply now! #LI-DNI</span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Develop and maintain high-quality mobile applications using Flutter.<br> Build scalable, maintainable, and reusable code following clean architecture principles.<br> Implement advanced state management solutions using BLoC and Cubit patterns.<br> Design and develop complex booking and reservation flows, including schedules, availability, payments, and edge-case handling.<br> Create highly customized, pixel-perfect UI/UX implementations with smooth animations and responsive performance.<br> Develop custom widgets and optimize app performance across multiple devices and platforms.<br> Integrate APIs, Firebase services, push notifications, analytics, and third-party services.<br> Ensure application stability while adding new features or modifying existing functionality.<br> Collaborate closely with developers, QA engineers, designers, product managers, and other stakeholders.<br> Participate in code reviews, technical discussions, and architectural decisions.<br> Debug issues, optimize performance, and proactively identify technical improvements.<br> Manage app releases for both Android and iOS platforms.<br> Contribute to CI/CD pipelines and GitHub Actions workflows.<br> Estimate tasks accurately and manage priorities effectively.<br> 3-5 years of strong experience in Flutter development.<br> Solid understanding of scalable architecture and clean code principles.<br> Advanced experience with BLoC and Cubit state management patterns.<br> Proven experience building booking or reservation systems with complex workflows.<br> Strong expertise in creating custom UI components and animations.<br> Excellent understanding of responsive design and mobile performance optimization.<br> Experience with Git workflows and CI/CD pipelines, preferably GitHub Actions.<br> Strong experience with REST APIs, Firebase, push notifications, and third-party integrations.<br> Ability to write maintainable, reusable, and testable code.<br> Strong debugging and problem-solving skills.<br> Understanding of Android and iOS app release processes.<br> Ability to work independently and collaboratively within cross-functional teams.<br> Strong communication and task management skills.<br> Nice to Have Experience in food delivery, e-commerce, or marketplace applications.<br> Experience with automated testing and test-driven development.<br> Familiarity with analytics and monitoring tools.<br> Experience working in agile development environments.<br></span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p> <b>Job Description:</b> </p> <p> </p> <p>We believe in bold ideas, diverse perspectives, and the drive to transform knowledge into impact. Here, your curiosity fuels progress, your voice shapes innovation, and your ambition helps redefine what s possible within science and learning. We are a culture that obsesses over impact, challenges, and drives what s next to power infinite possibilities for our customers, colleagues and society at large.</p> <p> </p> <p> <b>About the Role:</b> </p> <p> </p> <div> <p>We are looking for a talented, self-driven Principal Software Engineer with a strong Java background to join and expand our Amman engineering team. This role focuses on backend development within our Content Management System (CMS), supporting how authors worldwide submit and manage research that drives scientific discovery.</p> <p>As a principal-level engineer, you will lead technical direction while remaining hands-on, contributing to the design and delivery of scalable, high-impact solutions. We value strong technical leadership, ownership, and mindset as much as years of experience.<br> </p> <b>How You Will Make an Impact</b> <ul> <li>Lead the architecture, design, development, and maintenance of core backend systems and features</li> <li>Drive technical direction and engineering best practices across the team</li> <li>Act as a hands-on technical leader, delivering complex initiatives and high-impact solutions</li> <li>Mentor engineers through technical guidance, code reviews, and knowledge sharing</li> <li>Collaborate with QA and cross-functional teams to deliver high-quality releases on time</li> <li>Troubleshoot complex issues across development and production environments</li> <li>Ensure systems are scalable, maintainable, and reliable through strong design and code reviews</li> <li>Contribute to continuous improvement initiatives, including refactoring and technical debt management</li> <li>Partner with global stakeholders and teams to align technical solutions with business goals</li> <li>Foster collaboration across regions, adapting to different time zones and working styles.<br> </li> </ul> <b>What We Look For</b> <ul> <li>Bachelor s degree in Computer Science or a related field</li> <li>Strong communication skills in English (written and verbal)</li> <li>Proven experience in Java development (typically 5+ years), with strong knowledge of object-oriented design and software architecture</li> <li>Solid professional experience in software development (typically 8+ years)</li> <li>Hands-on experience with Spring Framework and Hibernate</li> <li>Experience building RESTful APIs and web services</li> <li>Experience working with messaging systems such as JMS</li> <li>Strong understanding of relational databases</li> <li>Experience with version control systems such as Git</li> <li>Familiarity with unit testing frameworks (e.g., JUnit, Mockito)</li> <li>Strong problem-solving, analytical, and debugging skills</li> <li>Ability to lead technical discussions and influence architectural decisions</li> <li>Demonstrated ability to prioritize work and deliver in a dynamic environment.<br> </li> </ul> <b>Preferred Qualifications (Nice to Have)</b> <ul> <li>Experience with SQL Server or similar RDBMS</li> <li>Familiarity with CI/CD tools (e.g., Jenkins, GitHub Actions) or cloud platforms (e.g., GCP)</li> <li>Experience working in Linux environments</li> <li>Familiarity with Agile Scrum methodologies and ceremonies</li> <li>Experience troubleshooting production incidents and performing root cause analysis</li> <li>Experience improving system performance and addressing bottlenecks</li> <li>Experience leading large-scale technical initiatives or modernization efforts</li> <li>Familiarity with front-end styling tools such as Sass</li> <li>Knowledge of XML technologies (XQuery, XSLT) and semantic web technologies (RDF, SPARQL)</li> </ul> </div> <p> </p> <p> </p> <p><br></p></div></section>