enterprise architect & data governance head

ai solution architect emea

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cloud solution architecture-security Jobs in Uae

cloud solution architecture-security

data architect

enterprise architect & data governance head Jobs in Uae

cloud solution architecture security

Microsoft

<div><b>Overview</b><div><p><br>
With over 17,000 employees worldwide, the Microsoft Customer Experience &amp; Success (CE&amp;S) organization is responsible for the strategy, design, and implementation of Microsoft's end-to-end customer experience. Come join CE&amp;S and help us build a future where customers come to us not only because we provide industry-leading products and services, but also because we provide differentiated and connected customer experience.</p><p>
We are looking for a highly motivated and passionate Security Cloud Solution Architect (CSA) to drive our customer's security transformation on the Microsoft Azure and Microsoft 365 Platforms. This is a customer-facing role, owning the security-focused technical relationship and strategy between the customer and Microsoft as well customer engagements, including architecture, implementation, and operational health.</p></div><div><p>
The ideal candidate will have hands-on project delivery experience in customer-facing roles and success in leading in-depth technical security architecture discussions with senior customer executives, Enterprise Security Architects, Enterprise Architects, IT Management, and Developers to Secure our customer's technology estate and drive Security as an enabler for Azure and Microsoft 365 workloads.</p></div><b><br>
Responsibilities</b><p></p><div><ul><li><p><br>
Trusted Advisor: Lead customers through secure AI and Security adoption&mdash;defining strategy, architecture, and implementation across M365 and Azure Security workloads.
</p></li></ul></div><div><ul><li><p>AI &amp; Agentic Security: Architect and secure AI workloads, including governance, identity, access, and observability leveraging Agent 365, MDASH, Defender for AI and DSPM for AI.
</p></li></ul></div><div><ul><li><p>Solution Design &amp; Delivery: Run architecture/design sessions and drive secure-by-design implementations aligned to business outcomes</p></li></ul></div><div><ul><li><p>
Adoption &amp; Expansion: Drive usage of M365 and Azure Security workloads (Defender stack, Entra, Sentinel, Purview, Agent 365, MDASH); expand security across cloud migrations</p></li></ul></div><div><ul><li><p>
Execution &amp; Blocker Removal: De-risk deployments, resolve technical barriers, and ensure operational health</p></li></ul></div><div><ul><li><p>
Customer Impact: Improve security posture with scalable, resilient, and high-performing designs</p></li></ul></div><div><ul><li><p>
Collaboration: Partner across sales, engineering, services, and partners to deliver end-to-end outcomes</p></li></ul></div><div><ul><li><p>
Field &amp; Product Feedback: Act as voice of customer to influence roadmap and remove systemic blockers</p></li></ul></div><div><ul><li><p>
Thought Leadership: Lead on end-to-end security architecture across threat protection, identity, and cloud security</p></li></ul></div><div><ul><li><p>
Practice Development: Contribute to capability building across CSA community and complex solution delivery</p></li></ul></div><b><br>
Qualifications</b><div><div><ul><li><p><br>
Bachelor&rsquo;s degree in computer science, Information Technology, Engineering, Business, Cybersecurity, or related field 5+ years&rsquo; experience in cloud/infrastructure technologies, cybersecurity, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting OR equivalent experience.</p></li></ul></div><div><ul><li><p>
Deep understanding of Microsoft security technologies with hands on experience in delivering two or more of the following Microsoft security solutions:
</p></li></ul></div><div><ul><li><p>Microsoft Defender (Defender for Cloud, Defender XDR, Defender for Cloud Apps)</p></li></ul></div></div><div><div><ul><li><p>
Microsoft Sentinel</p></li></ul></div><div><ul><li><p>
Microsoft Entra (identity, Conditional Access, lifecycle governance)</p></li></ul></div><div><ul><li><p>
Microsoft Purview (data security, compliance, governance)</p></li></ul></div><div><ul><li><p>
Demonstrated experience securing AI‑powered workloads, including:
</p></li></ul></div><div><ul><li><p>Identity, access control, and least‑privilege enforcement</p></li></ul></div><div><ul><li><p>
Data protection and information governance</p></li></ul></div><div><ul><li><p>
Threat detection, posture management, and incident response for AI systems
</p></li></ul></div><div><ul><li><p>Hands‑on understanding of agentic architectures, including:
</p></li></ul></div><div><ul><li><p>AI agents, copilots, or autonomous systems</p></li></ul></div><div><ul><li><p>
Agent identity, lifecycle, and access management concepts</p></li></ul></div><div><ul><li><p>
Observability, logging, and behavioural monitoring for autonomous systems
</p></li></ul></div><div><p><b>Preferred Qualifications</b></p></div><div><ul><li><p>
Experience with Microsoft Copilot Studio, Azure AI Foundry, or custom AI/agent frameworks secured on Azure or Microsoft 365 platforms</p></li></ul></div><div><ul><li><p>
Familiarity with AI security architecture patterns, including:
</p></li></ul></div><div><ul><li><p>Secure model access and isolation</p></li></ul></div><div><ul><li><p>
Guardrails, policy enforcement, and content safety</p></li></ul></div><div><ul><li><p>
AI workload discovery and posture management</p></li></ul></div><div><ul><li><p>
Knowledge of Zero Trust principles applied to AI and agent‑based systems, including identity‑centric security and continuous verification</p></li></ul></div><div><ul><li><p>
Experience integrating security into CI/CD or platform engineering workflows for AI or automation solutions
</p></li></ul></div><div><ul><li><p>Microsoft certifications such as:
</p></li></ul></div></div><div><div><ul><li><p>SC‑100: Cybersecurity Architect</p></li></ul></div><div><ul><li><p>
SC-200: Security Operations Analyst Associate</p></li></ul></div><div><ul><li><p>
SC-300: Identity and Access Administrator Associate</p></li></ul></div><div><ul><li><p>
AI-900: Microsoft Azure AI Fundamentals</p></li></ul></div><div><ul><li><p>
AZ-500: Azure Security Engineer Associate</p></li></ul><div><p><b>
Core Skills &amp; Attributes :</b></p></div><div><ul><li><p>
Strong hands‑on engineering mindset with architectural thinking
</p></li></ul></div><div><ul><li><p>Ability to reason about risk, trust boundaries, and blast radius in autonomous systems
</p></li></ul></div><div><ul><li><p>Comfortable working across security, AI, and platform teams
</p></li></ul></div><div><ul><li><p>Clear communicator who can explain complex AI security concepts to both technical and non‑technical stakeholders
</p></li></ul></div><div><ul><li><p>Curiosity and adaptability in a rapidly evolving AI and agentic ecosystem</p></li></ul></div><div><ul><li><p>
Ability to translate security requirements into practical, deployable solutions and work closely with developers, architects, and security teams</p></li></ul></div><div><ul><li><p>
Ability to engage with CISOs, security architects, and IT leadership</p></li></ul></div><div><ul><li><p>
Proven customer‑facing delivery experience</p></li></ul></div><div><ul><li><p>
The technical aptitude and experience to learn new cloud security technologies and understand relevant cloud security market trends.</p></li></ul></div></div></div><br>
<br>
<p>This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.</p><p></p><p><br>
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process<b>.</b></p></div>

Cloud Solution Architecture-Security

<div>
 <strong>
  Overview
  <br/>
  <br/>
 </strong>
 With over 17,000 employees worldwide, the Microsoft Customer Experience &amp; Success (CE&amp;S) organization is responsible for the strategy, design, and implementation of Microsoft's end-to-end customer experience. Come join CE&amp;S and help us build a future where customers come to us not only because we provide industry-leading products and services, but also because we provide differentiated and connected customer experience.
 <br/>
 <br/>
 We are looking for a highly motivated and passionate Security Cloud Solution Architect (CSA) to drive our customer's security transformation on the Microsoft Azure and Microsoft 365 Platforms. This is a customer-facing role, owning the security-focused technical relationship and strategy between the customer and Microsoft as well customer engagements, including architecture, implementation, and operational health.
 <br/>
 <br/>
 The ideal candidate will have hands-on project delivery experience in customer-facing roles and success in leading in-depth technical security architecture discussions with senior customer executives, Enterprise Security Architects, Enterprise Architects, IT Management, and Developers to Secure our customer's technology estate and drive Security as an enabler for Azure and Microsoft 365 workloads.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Trusted Advisor: Lead customers through secure AI and Security adoption&mdash;defining strategy, architecture, and implementation across M365 and Azure Security workloads.
  </li>
  <li>
   AI &amp; Agentic Security: Architect and secure AI workloads, including governance, identity, access, and observability leveraging Agent 365, MDASH, Defender for AI and DSPM for AI.
  </li>
  <li>
   Solution Design &amp; Delivery: Run architecture/design sessions and drive secure-by-design implementations aligned to business outcomes
  </li>
  <li>
   Adoption &amp; Expansion: Drive usage of M365 and Azure Security workloads (Defender stack, Entra, Sentinel, Purview, Agent 365, MDASH); expand security across cloud migrations
  </li>
  <li>
   Execution &amp; Blocker Removal: De-risk deployments, resolve technical barriers, and ensure operational health
  </li>
  <li>
   Customer Impact: Improve security posture with scalable, resilient, and high-performing designs
  </li>
  <li>
   Collaboration: Partner across sales, engineering, services, and partners to deliver end-to-end outcomes
  </li>
  <li>
   Field &amp; Product Feedback: Act as voice of customer to influence roadmap and remove systemic blockers
  </li>
  <li>
   Thought Leadership: Lead on end-to-end security architecture across threat protection, identity, and cloud security
  </li>
  <li>
   Practice Development: Contribute to capability building across CSA community and complex solution delivery
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in computer science, Information Technology, Engineering, Business, Cybersecurity, or related field 5+ years&rsquo; experience in cloud/infrastructure technologies, cybersecurity, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting OR equivalent experience.
  </li>
  <li>
   Deep understanding of Microsoft security technologies with hands on experience in delivering two or more of the following Microsoft security solutions:
  </li>
  <li>
   Microsoft Defender (Defender for Cloud, Defender XDR, Defender for Cloud Apps)
  </li>
  <li>
   Microsoft Sentinel
  </li>
  <li>
   Microsoft Entra (identity, Conditional Access, lifecycle governance)
  </li>
  <li>
   Microsoft Purview (data security, compliance, governance)
  </li>
  <li>
   Demonstrated experience securing AI‑powered workloads, including:
  </li>
  <li>
   Identity, access control, and least‑privilege enforcement
  </li>
  <li>
   Data protection and information governance
  </li>
  <li>
   Threat detection, posture management, and incident response for AI systems
  </li>
  <li>
   Hands‑on understanding of agentic architectures, including:
  </li>
  <li>
   AI agents, copilots, or autonomous systems
  </li>
  <li>
   Agent identity, lifecycle, and access management concepts
  </li>
  <li>
   Observability, logging, and behavioural monitoring for autonomous systems
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with Microsoft Copilot Studio, Azure AI Foundry, or custom AI/agent frameworks secured on Azure or Microsoft 365 platforms
  </li>
  <li>
   Familiarity with AI security architecture patterns, including:
  </li>
  <li>
   Secure model access and isolation
  </li>
  <li>
   Guardrails, policy enforcement, and content safety
  </li>
  <li>
   AI workload discovery and posture management
  </li>
  <li>
   Knowledge of Zero Trust principles applied to AI and agent‑based systems, including identity‑centric security and continuous verification
  </li>
  <li>
   Experience integrating security into CI/CD or platform engineering workflows for AI or automation solutions
  </li>
  <li>
   Microsoft certifications such as:
  </li>
  <li>
   SC‑100: Cybersecurity Architect
  </li>
  <li>
   SC-200: Security Operations Analyst Associate
  </li>
  <li>
   SC-300: Identity and Access Administrator Associate
  </li>
  <li>
   AI-900: Microsoft Azure AI Fundamentals
  </li>
  <li>
   AZ-500: Azure Security Engineer Associate
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Core Skills &amp; Attributes
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong hands‑on engineering mindset with architectural thinking
  </li>
  <li>
   Ability to reason about risk, trust boundaries, and blast radius in autonomous systems
  </li>
  <li>
   Comfortable working across security, AI, and platform teams
  </li>
  <li>
   Clear communicator who can explain complex AI security concepts to both technical and non‑technical stakeholders
  </li>
  <li>
   Curiosity and adaptability in a rapidly evolving AI and agentic ecosystem
  </li>
  <li>
   Ability to translate security requirements into practical, deployable solutions and work closely with developers, architects, and security teams
  </li>
  <li>
   Ability to engage with CISOs, security architects, and IT leadership
  </li>
  <li>
   Proven customer‑facing delivery experience
  </li>
  <li>
   The technical aptitude and experience to learn new cloud security technologies and understand relevant cloud security market trends.
   <br/>
   <br/>
  </li>
 </ul>
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 <br/>
 <br/>
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 <strong>
  requesting accommodations.
 </strong>
</div>


Help AG, an e& enterprise company

<div>
 Help AG is looking for a talented and experienced Senior Security Engineer, specializing in Sentinel / Defender / Splunk who will be responsible for the creation of procedures, implementation of process development, and maintenance of security systems across client environments. The Security Engineer will work closely with Management, Senior Engineers, Threat Analysts, Solution Architects, other Security Engineers, and clients to complete high profile, critical services to existing Managed Security Service clients. This position is based out in Dubai, UAE and will be responsible for the administration, maintenance, and integration of Splunk, MS Azure Sentinel, Sentinel UEBA, AIP, Defender, CASB, ATA/ATP &amp; Intune for security operations technical engineering, assessment, and recommendations in the areas of real-time security, operational network &amp; identity management system, and applications systems security.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, implement, and support solutions with SIEM (preferably Sentinel) and Microsoft security technologies such as Azure Cloud Access Security Broker, Office 365 Advanced Threat Protection (O365 ATP), Microsoft Defender ATP, and their integrations used to deliver internet-scale intelligence and managed security products.
  </li>
  <li>
   Implement &amp; administer Microsoft Defender (ATP), Azure Cloud Access Security Broker &amp; Azure Threat Protection security products within customer environment Manage and oversee day-today activities of Azure IP platform and ensure adherence to enterprise standards in project execution methodology, requirements gathering, quality assurance, and continuous improvement.
  </li>
  <li>
   Assess customer needs and expectations, design solutions to meet those needs, and then implement the design.
  </li>
  <li>
   Quickly build and solve a problem using a new technology to determine viability.
  </li>
  <li>
   Serve as a primary responder for Managed Security customer systems, taking ownership of client configuration issues and tracking through resolution.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications &amp; Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   College degree or equivalent training with experience working in a Security Operations Center, Managed Security, or client network environment.
  </li>
  <li>
   Experience and knowledge of Splunk, Azure M365 &amp; MS cloud security is essential.
  </li>
  <li>
   Security Engineer must possess minimum 5 years of professional experience &amp; Senior Security Engineer must possess minimum 7-8 years of professional experience supporting and maintaining Splunk, Azure M365 System.
  </li>
  <li>
   4-5 years of experience with administering &amp; managing Splunk and Sentinel SIEM including content development.
  </li>
  <li>
   Experience in Use cases creation and Content development on Microsoft Sentinel, Splunk SIEM.
  </li>
  <li>
   Experience in Custom Use cases, Dashboards, Report creation on Microsoft Sentinel, Splunk SIEM.
  </li>
  <li>
   Knowledge of Integration with tools, data connectors for Microsoft Sentinel, Splunk SIEM.
  </li>
  <li>
   Knowledge of Splunk, Sentinel architecture, tables and data in Sentinel.
  </li>
  <li>
   Knowledge of Sentinel workbooks and automation &amp; Splunk Enterprise Security.
  </li>
  <li>
   Professional experience working with networks and network architecture.
  </li>
  <li>
   Information security knowledge in one or more areas such as EDR &ndash; Enterprise end-point security products (e.g., McAfee e-Policy Orchestrator, Virus Scan, Anti-Spyware, Host Data Loss Protection, Endpoint Encryption, etc.).
  </li>
  <li>
   Splunk, Azure Log analytics, or equivalent big data engine experience.
  </li>
  <li>
   Experience with MS Azure Information Protection and technologies, including solution architecture, deployment, management, and support in a large global enterprise.
  </li>
  <li>
   Knowledge of Linux and Windows Operating Systems.
  </li>
  <li>
   Experience with various other SIEM security products such as: Splunk, ArcSight, Nitro, or LogRhythm and infrastructure components such as proxies, firewalls, IDS/IPS, and DLP.
  </li>
  <li>
   Experience working with clients in a service delivery function.
  </li>
  <li>
   Shift flexibility, including the ability to provide after-hours support when needed.
  </li>
  <li>
   Experience working with internal and client ticketing and knowledge base systems for Incident and Problem tracking as well as procedure.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Health insurance with one of the leading global providers for medical insurance.
  </li>
  <li>
   Career progression and growth through challenging projects and work.
  </li>
  <li>
   Employee engagement and wellness campaigns activities throughout the year.
  </li>
  <li>
   Excellent learning and development opportunities.
  </li>
  <li>
   Annual flight tickets to home country.
  </li>
  <li>
   Inclusive and diverse working environment.
  </li>
  <li>
   Flexible/hybrid working environment.
  </li>
  <li>
   Open-door policy.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 Help AG is the cybersecurity arm of e&amp; enterprise (formerly Etisalat Digital) and provides leading enterprise businesses across the Middle East with strategic consultancy combined with tailored information security solutions and services that address their diverse requirements, enabling them to evolve securely with a competitive edge.
 <br/>
 <br/>
 Present in the Middle East since 2004, Help AG was strategically acquired by e&amp; (formerly Etisalat Group) in 2020, hence creating a cybersecurity and digital transformation powerhouse in the region.
 <br/>
 <br/>
 Help AG has firmly established itself as the region's trusted IT security advisor by remaining vendor-agnostic, trustworthy, independent, and maintaining its focus on all aspects of cybersecurity.
 <br/>
 <br/>
 With best of breed technologies from industry-leading vendor partners, expertly qualified service delivery teams and a state-of-the-art consulting practice, Help AG delivers unmatched value to its customers by strengthening their cyber defenses and safeguarding their business.
</div>


Senior Security Engineer - Microsoft Defender Suite & Sentinel

Boundless

<div>
 <p>
  <strong>
   Company Overview
  </strong>
 </p>
 <p>
  Our client, a global and rapidly growing financial services group, operates across international markets through a technology-driven, regulated business model. The organisation is investing significantly in Artificial Intelligence, advanced analytics, intelligent automation, and next-generation software engineering capabilities to enhance its platforms, products, internal operations, and customer experience.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Role Overview
  </strong>
 </p>
 <p>
  We are seeking an experienced AI Engineering Lead to establish and drive the organisation&rsquo;s LLM Engineering capability and accelerate AI-powered software development across multiple technology teams. This role will define the standards, architecture, tooling, governance, and development practices required to build secure, scalable, production-ready AI solutions. You will guide engineering teams in adopting modern AI-assisted development workflows, leveraging frontier LLMs, agentic architectures, enterprise RAG systems, and intelligent automation platforms.
 </p>
 <p>
  Working closely with Engineering Managers, Solution Architects, Product Owners, and senior leadership, you will ensure that AI becomes an embedded part of the software development lifecycle. The role combines hands-on technical leadership, architecture oversight, team enablement, and enterprise-wide AI transformation.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities
  </strong>
 </p>
 <p>
  <strong>
   AI Engineering Leadership &amp; Delivery
  </strong>
 </p>
 <ul>
  <li>
   Lead the design, development, and implementation of enterprise-grade LLM applications, AI agents, intelligent automation solutions, and AI-native software products.
  </li>
  <li>
   Guide and mentor engineering teams on AI architecture, prompting strategy, agent design, model selection, code quality, and production deployment.
  </li>
  <li>
   Conduct AI solution design and technical architecture reviews before development begins.
  </li>
  <li>
   Establish engineering standards for secure, scalable, maintainable, and measurable AI implementations.
  </li>
  <li>
   Support teams in adopting AI-first development methodologies while maintaining strong software engineering quality, security, and delivery discipline.
  </li>
 </ul>
 <p>
  <strong>
   AI-Assisted Software Engineering
  </strong>
 </p>
 <ul>
  <li>
   Champion the use of AI coding and development environments including Claude Code, OpenAI Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, and emerging AI engineering tools.
  </li>
  <li>
   Define enterprise standards for AI-assisted software engineering, developer prompting, code generation, review workflows, and responsible use of AI development tools.
  </li>
  <li>
   Develop reusable prompt libraries, engineering playbooks, technical documentation, and best-practice frameworks.
  </li>
  <li>
   Introduce practical AI-assisted development workflows that improve engineering productivity, code quality, testing, documentation, and delivery speed.
  </li>
  <li>
   Establish methods to measure and improve developer productivity through AI-enabled engineering practices.
  </li>
 </ul>
 <p>
  <strong>
   LLM Engineering &amp; Agentic Systems
  </strong>
 </p>
 <ul>
  <li>
   Design and optimise production-grade LLM applications using leading models including Claude, OpenAI, Gemini, Mistral, Llama, DeepSeek, and other suitable providers.
  </li>
  <li>
   Build AI agents and multi-agent workflows using frameworks such as LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel, Haystack, and LlamaIndex.
  </li>
  <li>
   Design and implement enterprise RAG systems using vector databases, knowledge graphs, structured data sources, and internal documentation repositories.
  </li>
  <li>
   Develop scalable MCP servers, tool integrations, API connectors, and secure AI access layers for enterprise systems.
  </li>
  <li>
   Evaluate new LLMs, frameworks, AI platforms, and engineering tools, making recommendations for adoption based on technical fit, security, cost, performance, and business value.
  </li>
 </ul>
 <p>
  <strong>
   AI Platform, Architecture &amp; Governance
  </strong>
 </p>
 <ul>
  <li>
   Define enterprise AI architecture standards, reference architectures, reusable components, and internal AI platform capabilities.
  </li>
  <li>
   Design secure integrations between LLMs, internal systems, APIs, databases, workflows, and customer-facing applications.
  </li>
  <li>
   Establish guardrails, AI evaluation frameworks, observability standards, model monitoring, prompt testing, and responsible AI practices.
  </li>
  <li>
   Lead technical decision-making around AI infrastructure, deployment patterns, cloud architecture, model hosting, orchestration, and scalability.
  </li>
  <li>
   Support the development of AI governance frameworks covering data privacy, security, access controls, explainability, quality assurance, and risk management.
  </li>
 </ul>
 <p>
  <strong>
   Capability Development &amp; Adoption
  </strong>
 </p>
 <ul>
  <li>
   Develop an AI Engineering Maturity Model to assess and improve AI adoption across engineering teams.
  </li>
  <li>
   Deliver internal workshops, technical training sessions, and practical enablement programmes for developers, architects, and engineering leaders.
  </li>
  <li>
   Train teams on LLM engineering workflows, AI coding assistants, agentic architectures, RAG implementation, and AI observability practices.
  </li>
  <li>
   Create and maintain internal documentation, coding standards, architecture guidelines, and engineering playbooks.
  </li>
  <li>
   Stay current with emerging AI technologies and continuously identify opportunities to strengthen the organisation&rsquo;s AI engineering capability.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Requirements
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Software Engineering, or a related technical discipline.
  </li>
  <li>
   At least 7 years of software engineering experience, including strong exposure to software architecture, enterprise applications, APIs, cloud platforms, and modern software delivery practices.
  </li>
  <li>
   At least 3 years of practical experience designing and deploying production LLM applications, AI agents, RAG systems, or intelligent automation solutions.
  </li>
  <li>
   Demonstrated experience leading AI engineering initiatives across multiple engineering teams or business units.
  </li>
  <li>
   Strong hands-on knowledge of LLM application development, prompt engineering, RAG, agentic architectures, MCP, model evaluation, orchestration frameworks, and AI observability.
  </li>
  <li>
   Experience with agent frameworks such as LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel, Haystack, or similar technologies.
  </li>
  <li>
   Experience working with vector databases and knowledge systems such as Pinecone, Weaviate, pgvector, Qdrant, Chroma, or similar tools.
  </li>
  <li>
   Strong programming ability in Python and ideally TypeScript, with experience developing APIs using FastAPI or similar frameworks.
  </li>
  <li>
   Strong understanding of REST APIs, Docker, Kubernetes, Git, CI/CD, cloud deployment, and enterprise software integration.
  </li>
  <li>
   Experience with AWS, Microsoft Azure, Google Cloud Platform, or multi-cloud environments.
  </li>
  <li>
   Familiarity with AI observability and evaluation tools such as LangSmith, Helicone, MLflow, Weights &amp; Biases, OpenTelemetry, or similar platforms.
  </li>
  <li>
   Proven ability to mentor engineers, influence technical direction, establish standards, and communicate complex AI concepts to both technical and non-technical stakeholders.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Preferred Experience
  </strong>
 </p>
 <ul>
  <li>
   Building or leading AI Engineering Centres of Excellence.
  </li>
  <li>
   Establishing enterprise AI governance, responsible AI, and AI risk-management frameworks.
  </li>
  <li>
   Driving AI transformation programmes across software engineering organisations.
  </li>
  <li>
   Defining AI coding standards, AI-SDLC frameworks, and AI-assisted development methodologies.
  </li>
  <li>
   Building enterprise LLM platforms, internal AI tools, reusable AI components, or shared AI services.
  </li>
  <li>
   Implementing enterprise RAG, multi-agent architectures, MCP servers, and AI workflow automation.
  </li>
  <li>
   Measuring productivity, quality, adoption, and delivery improvements resulting from AI-enabled software development.
  </li>
  <li>
   Experience within financial services, fintech, trading, payments, regulated technology environments, or large-scale enterprise platforms.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Technology Areas
  </strong>
 </p>
 <ul>
  <li>
   Frontier LLMs: Claude, OpenAI GPT models, Gemini, Mistral, Llama, DeepSeek
  </li>
  <li>
   AI Development Tools: Claude Code, Cursor, GitHub Copilot, Gemini CLI, Windsurf, OpenAI Codex, Continue.dev
  </li>
  <li>
   Agent Frameworks: LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel, Haystack
  </li>
  <li>
   Automation: n8n, Make, Zapier, Apache Airflow
  </li>
  <li>
   Knowledge Systems: Pinecone, Weaviate, pgvector, Qdrant, Chroma, LlamaIndex
  </li>
  <li>
   Engineering: Python, TypeScript, FastAPI, REST APIs, Docker, Kubernetes, Git, CI/CD
  </li>
  <li>
   Cloud Platforms: AWS, Azure, Google Cloud Platform
  </li>
  <li>
   AI Observability: LangSmith, Helicone, MLflow, Weights &amp; Biases, OpenTelemetry
  </li>
 </ul>
</div>


AI Engineering Lead – LLM Engineering, AI Development & Intelligent Automation

Presight

<div>
 <p>
  <strong>
   Job Description: Lead Engineer - Data Centre &amp; Smart Infrastructure
  </strong>
 </p>
 <p>
  <strong>
   Location: Abu Dhabi
  </strong>
 </p>
 <p>
  <strong>
   About Presight
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Presight &mdash; ADX-listed, G42-backed, and the region's leading GenAI analytics company &mdash; is hiring a Solution Architect who is equally comfortable drawing integration blueprints and sitting in front of a client boardroom.
 </p>
 <p>
  This is not a purely pre-sales or design role. We need someone who has lived inside data centre programmes from concept through commissioning, owned stakeholder relationships end-to-end, and can still roll up their sleeves when it matters.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   The Opportunity
  </strong>
 </p>
 <p>
  We are seeking a highly experienced, hands-on Lead Engineer to drive the design, integration, and delivery of complex smart infrastructure solutions across data centres, SCADA, BMS/DCIM, IoT, and enterprise AI platforms. This role demands an ideal blend of deep technical expertise and delivery leadership &mdash; someone who can own end-to-end engineering outcomes while collaborating across multi-vendor, cross-functional teams. In later project phases, the role will progressively take on project management responsibilities, steering delivery planning, stakeholder coordination, and operational handover.
 </p>
 <p>
  <strong>
   Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Lead end-to-end solution design and implementation for integrated systems spanning data centres, SCADA/OT, BMS, CCTV, access control, fire alarm, and AI/analytics platforms.
  </li>
  <li>
   Translate business requirements into scalable, secure, and high-performance architectures, ensuring alignment with business objectives and AI-driven solutions.
  </li>
  <li>
   Define and manage integration architecture across multi-vendor platforms, including APIs, middleware, data pipelines, and OT/IoT protocols (BACnet, Modbus, MQTT, REST).
  </li>
  <li>
   Develop and review high-level and low-level design documents (HLD/LLD), architectural blueprints, and vendor proposals, ensuring system feasibility and seamless cross-platform integration.
  </li>
  <li>
   Define and document data flows across systems &mdash; from IoT sensors and gateways through to DCIM/BMS, CCTV/VMS, analytics engines, and command &amp; control dashboards.
  </li>
  <li>
   Act as the technical bridge from initial design discussions through to final delivery, working closely with project managers, business analysts, architects, developers, and external partners.
  </li>
  <li>
   Coordinate with the PMO and product managers to assess resource requirements, delivery goals, and potential risks; identify risks and implement mitigation strategies to minimize impact on project quality and timelines.
  </li>
  <li>
   Oversee system integration testing (SIT), UAT, and commissioning activities, validating that delivered solutions meet performance, security, and regulatory requirements.
  </li>
  <li>
   Prepare and maintain high-quality technical documentation including architecture documents, integration diagrams, data flow diagrams, test plans, SOPs, and acceptance criteria.
  </li>
  <li>
   Provide cost modelling and technical inputs for financial forecasts, including BoMs, CAPEX/OPEX estimates, and TCO projections based on solution design.
  </li>
  <li>
   Support value engineering and scenario analysis, ensuring architecture decisions are cost-optimized, risk-aware, and aligned with budget and business case objectives.
  </li>
  <li>
   Ensure compliance with industry standards and regulations for security systems and drive adherence to security, compliance, and performance best practices, while considering long-term scalability.
  </li>
  <li>
   Cultivate a supportive team environment by valuing input from team members, mentoring junior engineers, and encouraging professional growth.
  </li>
 </ul>
 <p>
  <strong>
   Qualifications
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree in engineering, Computer Science, Information Technology, or a related field.
  </li>
  <li>
   10+ years of experience in system engineering, solution architecture, or technical lead roles within smart infrastructure, data centre, or mission-critical environments.
  </li>
  <li>
   Proven experience with OT systems integration &mdash; BMS, DCIM, SCADA, CCTV/VMS, PSIM, access control, and fire alarm systems.
  </li>
  <li>
   Strong understanding of OT/IoT protocols such as BACnet, Modbus, MQTT, and REST/HTTP APIs.
  </li>
  <li>
   Hands-on experience with multi-vendor platform integrations involving AI platforms, video management systems, connectivity, and IoT sensors.
  </li>
  <li>
   Strong understanding of edge vs. cloud-based architectures, including deployment trade-offs and performance considerations.
  </li>
  <li>
   Solid understanding of data centre concepts &mdash; power, cooling, racks, DCIM/BMS, monitoring, incident and change management.
  </li>
  <li>
   Experience with Agile/Scrum delivery practices, including backlog management and sprint planning.
  </li>
  <li>
   Exceptional interpersonal, stakeholder management, and client-facing skills, with a collaborative and empathetic approach.
  </li>
  <li>
   Strong organizational, planning, and problem-solving skills, with attention to detail and a proactive mindset.
  </li>
  <li>
   Excellent communication and documentation skills with the ability to translate complex technical concepts into business-friendly language.
  </li>
 </ul>
 <p>
  <strong>
   Preferred Experience
  </strong>
 </p>
 <ul>
  <li>
   Experience in mission-critical facilities &mdash; data centres, critical infrastructure, smart buildings, or industrial IoT environments.
  </li>
  <li>
   Exposure to digital twin platforms, 3D modelling, or BIM-based systems.
  </li>
  <li>
   Experience with AI/ML and analytics use cases for operations, security, and automation.
  </li>
  <li>
   Familiarity with cloud-native IoT platforms (e.g., Azure IoT, Kafka) and enterprise system integration.
  </li>
  <li>
   Background in system integrator firms or large-scale infrastructure delivery programmes.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Join us at Presight, where we offer a culture of innovation, outstanding career growth opportunities, and competitive rewards. If you're eager to conquer new frontiers in AI and thrive in a dynamic environment, we welcome you to our community.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What Working at Presight Offers
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Culture:
   </strong>
   An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
  </li>
  <li>
   <strong>
    Career:
   </strong>
   Outstanding learning, development &amp; growth opportunities via structured training programmes and innovative, high-tech projects.
  </li>
  <li>
   <strong>
    Rewards:
   </strong>
   A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.
  </li>
 </ul>
 <p>
 </p>
</div>


Lead Software Engineer

Qualcomm

<div><h2 class="jobSectionHeader"><b>Company:
</b></h2>Qualcomm Engineering FZ LLC
<p></p><h2 class="jobSectionHeader"><b>Job Area:
</b></h2>Engineering Group, Engineering Group &gt; Software Applications Engineering
<p></p><p><b>General Summary:
</b></p><p></p><p><b>About Qualcomm IE‑IoT
</b><br>
Qualcomm is a global leader in connected intelligent edge platforms, delivering solutions that combine high‑performance compute, connectivity, and AI across industries including industrial automation, smart cities, energy, and public sector. The IE‑IoT business unit enables secure, scalable, low‑latency intelligence across on‑device, on‑premises, and hybrid cloud deployments.
</p><p></p><p><b>Role Summary
</b><br>
The IoT Solutions Architect is a senior, hands‑on technical leadership role responsible for defining, architecting, and delivering end‑to‑end IoT and Edge AI solutions built on Qualcomm platforms. This role sits at the intersection of solution architecture, customer engineering, product management, and ecosystem partnerships, owning reusable solution blueprints that accelerate customer adoption across multiple verticals while serving as a trusted technical advisor to strategic customers.
</p><p></p><p><b>Key Responsibilities
</b></p><p><b>Solution Architecture &amp; Technical Leadership
</b></p><ul><li><p>Define and own scalable IoT and Edge AI solution blueprints for priority verticals
</p></li><li><p>Architect end‑to‑end systems spanning on‑device compute, AI acceleration (CV, GenAI, multimodal), connectivity, gateways, edge servers, and hybrid cloud integrations
</p></li><li><p>Produce reference architectures, design guides, and deployment playbooks
</p></li><li><p>Ensure solutions meet production requirements for performance, latency, power, thermals, security, privacy, and scalability
</p></li></ul><p></p><p><b>Customer &amp; Partner Engagement
</b></p><ul><li><p>Act as technical lead and trusted advisor for strategic customers from discovery through production
</p></li><li><p>Translate business use‑cases and KPIs into system‑level technical architectures
</p></li><li><p>Lead executive‑level architecture reviews and roadmap alignment
</p></li><li><p>Collaborate with OEMs, ISVs, system integrators, and cloud partners
</p></li><li><p>Support POCs, pilots, and commercial launches
</p></li></ul><p></p><p><b>Hands‑On Prototyping &amp; Validation
</b></p><ul><li><p>Lead system bring‑up, prototyping, benchmarking, and optimization
</p></li><li><p>Integrate workloads such as computer vision, video analytics, AI/ML inference (CNNs, LLMs, VLMs), IoT gateways, and industrial data pipelines
</p></li><li><p>Profile and optimize end‑to‑end behavior across latency, throughput, accuracy, power, and cost on Qualcomm AI‑enabled platforms
</p></li></ul><p></p><p><b>Hybrid Edge AI Architecture
</b></p><ul><li><p>Design distributed AI architectures across on‑device, on‑prem edge, and cloud
</p></li><li><p>Enable offline/online operation, observability, fleet management, and secure enterprise integration
</p></li></ul><p></p><p><b>Cross‑Functional Leadership
</b></p><ul><li><p>Partner with Product Management, hardware/software engineering, performance teams, and customer engineering
</p></li><li><p>Feed real‑world deployment insights into platform, SDK, and roadmap improvements
</p></li><li><p>Represent Qualcomm in customer workshops and industry forums
</p></li></ul><p></p><p><b>Technical Profile
</b></p><ul><li><p>Strong system‑level expertise in IoT, embedded systems, and Edge AI
</p></li><li><p>Hands‑on software experience in Python and/or C/C++
</p></li><li><p>Experience with Embedded Linux, containers (Docker, Kubernetes), AI frameworks/runtimes (TensorFlow, PyTorch, ONNX, Qualcomm AI tools)
</p></li><li><p>Background in computer vision and/or generative AI inference
</p></li><li><p>Connectivity knowledge: Wi‑Fi, Bluetooth, Ethernet, LTE/5G
</p></li></ul><p></p><p><b>Preferred Experience
</b></p><ul><li><p>Delivering production IoT or Edge AI systems in customer‑facing roles
</p></li><li><p>Vertical exposure in industrial, smart cities, retail, healthcare, logistics, or public sector
</p></li><li><p>Hybrid edge/cloud architectures
</p></li><li><p>Executive‑level communication and product roadmap influence through deployments
</p></li></ul><p></p><p><b>What's on Offer
</b></p><p>Apart from working with great people, we offer the below:
</p><ul><li><p>Salary including housing &amp; transport allowance
</p></li><li><p>Stock (RSU's) and performance related bonus
</p></li><li><p>16 weeks fully paid Maternity Leave
</p></li><li><p>6 weeks fully paid Paternity Leave
</p></li><li><p>Employee stock purchase scheme
</p></li><li><p>Child Education Allowance
</p></li><li><p>Relocation and immigration support (if needed)
</p></li><li><p>Life and Medical Insurance
</p></li><li><p>Live+ Well Reimbursement for health and recreational membership fees
</p></li></ul><p></p><p><b>Minimum Qualifications:
</b></p><ul><li>Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 8+ years of Software Applications Engineering, Software Development experience, or related work experience.
</li></ul>OR
<br>
Master's degree in Engineering, Information Systems, Computer Science, or related field and 7+ years of Software Applications Engineering, Software Development experience, or related work experience.
<br>
OR
<br>
PhD in Engineering, Information Systems, Computer Science, or related field and 6+ years of Software Applications Engineering, Software Development experience, or related work experience.
<br>
<br>
<ul><li>4+ years of experience with Programming Language such as C, C++, Java, Python, etc.
</li><li>4+ years of experience with debugging techniques.
</li></ul><p></p><p>*References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.
</p><p></p><div><p>Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
</p></div><p></p><p>Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
</p><p></p><p><b>To all Staffing and Recruiting Agencies </b>: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
</p><p></p><p>If you would like more information about this role, please contact Qualcomm Careers .</p></div>

IoT Solutions Architect - Abu Dhabi, UAE

Confidential

<p><strong>Overview</strong></p><p>The IT Solution Architect will play a critical role in the design, implementation, deployment, and adoption of IT solutions across the organization. This role will be responsible for ensuring that solutions are scalable, secure, and aligned with business needs. You will work closely with various stakeholders and vendors to ensure that the solutions meet current requirements and are future-ready.</p><p> </p><p><strong>Key Responsibilities</strong></p><p><strong>1. Project Coordination:</strong></p><ul><li>Plan, consult, and coordinate projects related to application design, development, and implementation.</li><li>Collaborate with cross-functional teams to ensure timely and successful project delivery.</li><li>Oversee the alignment of project goals with business requirements, ensuring seamless integration and functionality.</li></ul><p><strong>2. Application Management:</strong></p><ul><li>Maintain, customize, and enhance business applications based on user requirements.</li><li>Collaborate with end-users to understand their needs and ensure the solution is tailored accordingly.</li><li>Perform application upgrades, patches, and configuration changes as necessary to improve system performance.</li></ul><p><strong>3. Solution Architecture Design:</strong></p><ul><li>Define and document the overall solution architecture, ensuring alignment with business objectives.</li><li>Work closely with stakeholders to understand business needs and design technical solutions that address these requirements.</li><li>Evaluate and select appropriate technologies, platforms, and tools for the solution.</li></ul><p><strong>4. Architectural Standards and Best Practices:</strong></p><ul><li>Develop and maintain architectural standards, guidelines, and best practices to ensure consistency across projects.</li><li>Ensure solutions meet performance, scalability, and security requirements to support the organization's goals.</li><li>Continuously review and improve architectural standards in line with emerging trends and technologies.</li></ul><p><strong>5. Technical Leadership and Support:</strong></p><ul><li>Provide technical guidance and direction to development teams, ensuring that solutions are implemented as designed.</li><li>Identify and mitigate potential risks and issues related to the architecture and solution delivery.</li><li>Participate in post-implementation reviews to assess the solution’s performance and suggest improvements.</li></ul><p> </p><p> </p><p> </p><p><strong>6. Continuous Improvement:</strong></p><ul><li>Actively contribute to the continuous improvement of existing solutions, ensuring they remain efficient and relevant.</li><li>Stay informed of the latest developments in technologies and frameworks to recommend upgrades or changes to enhance system performance.</li></ul><p><strong>Qualifications:</strong></p><ul><li><strong>Education:</strong> Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related field.</li><li><strong>Certifications:</strong> Relevant certifications in D365 F&amp;O, CRM, and other relevant streams like Azure or AWS platforms.</li><li><strong>Experience:</strong> Minimum of 10 years of experience in application management, systems engineering, or software development, with significant experience in solution architecture.</li><li><strong>Skills and Competencies:</strong><ul><li>Strong problem-solving skills and analytical thinking.</li><li>Expertise in databases and SQL.</li><li>Solid knowledge of enterprise systems like MS D365 CRM, F&amp;O, Business Central.</li><li>Strong understanding of cloud computing concepts and architecture (Azure or AWS).</li><li>Excellent communication skills to articulate technical solutions to both technical and non-technical stakeholders.</li></ul></li></ul><p><strong>Reporting Line:</strong><br />You will report to the Senior Manager - Group IT Applications.</p>

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