Technical Architect, Agentic AI

We are looking for an experienced Technical Architect – Agentic AI to join our consulting team and work as an embedded resource with a leading government-sector client in Abu Dhabi.

This role sits at the intersection of Agentic AI, enterprise architecture, and digital transformation , helping a government organization move from AI strategy and use cases to practical implementation.

You will work directly with the client's business teams, technology teams, and implementation partners , including major technology and systems integration vendors, to design and guide the implementation of AI-enabled solutions.

This is not a traditional enterprise architecture role . We are looking for someone with hands-on experience designing and implementing Agentic AI / Generative AI solutions and the ability to translate that practical experience into enterprise-scale architecture.

Key Responsibilities

• Work with business stakeholders to identify and shape high-value Agentic AI use cases .
• Translate business requirements into practical AI and technical solutions.
• Design single-agent and multi-agent architectures and agentic workflows.
• Define agent orchestration, tools, APIs, RAG, memory, and human-in-the-loop patterns.
• Design AI solution integration with existing enterprise platforms, including Microsoft 365 and Dynamics 365 .
• Define technical requirements, architecture, and integration specifications for implementation partners.
• Work closely with Systems Integrators (SIs) and technology vendors during solution design and implementation.
• Review and challenge vendor architectures and technical approaches where required.
• Define AI governance, security, data-access, and data-sovereignty requirements.
• Develop UAT scenarios and technical acceptance criteria for AI solutions.
• Lead or directly support client UAT execution , tracking pass/fail results against agreed acceptance criteria.
• Evaluate AI solution performance, reliability, scalability, and business fit.
• Own the technical sign-off gate before AI solutions move from vendor delivery into production.
• Identify unnecessary technical complexity and ensure solutions remain scalable and commercially sensible.
• Support the client in building internal capabilities to understand, govern, and adopt Agentic AI.

Required Qualifications

Minimum Qualification

• Bachelor's degree in Computer Science, Software Engineering, Information Technology , or a related technical field.
• Master's degree is an advantage.
• Degree must be attestable/equivalent for UAE work permit and MOHRE skill-level classification purposes.

Essential Experience

• 8+ years of experience in technology, solution architecture, digital transformation, or a related field.
• Proven hands-on experience designing and implementing AI / Generative AI solutions .
• Strong practical understanding of:
• Large Language Models (LLMs) and Small Language Models (SLMs)
• Generative AI
• Agentic AI and autonomous agent architectures
• RAG and enterprise knowledge architectures
• AI agents, orchestration, and multi-agent workflows
• APIs, tool/function calling, and enterprise integrations
• Vector databases and embedding architectures
• Agent memory and context management
• Human-in-the-loop and AI governance
• Model selection and evaluation
• AI inference, latency, and scalability
• UAT design, technical acceptance testing, and production sign-off processes
• Experience integrating AI solutions with enterprise applications, APIs, and data .
• Experience with Microsoft 365, Dynamics 365, and/or Azure environments.
• Experience working with both business stakeholders and technical/engineering teams .
• Strong experience working with Systems Integrators and technology vendors .
• Ability to communicate complex technical concepts effectively to non-technical stakeholders .

Desirable Skills

• Experience working in government, public-sector, or regulated environments .
• Experience working in the UAE or GCC .
• Experience with sovereign cloud or government cloud environments .
• Experience with Core42 or comparable cloud/AI platforms.
• Experience with Agentic AI frameworks such as:
• Microsoft Agent Framework
• Semantic Kernel
• AutoGen
• LangChain
• Equivalent Agentic AI frameworks
• Knowledge of AI governance, Responsible AI, and data protection .
• Architecture certifications such as:
• TOGAF
• Azure Architecture
• Equivalent architecture certifications