Senior Manager Tech Consulting Data & AI AI Architect UAE

EYs AI & Data team in the UAE is expanding its capability in Generative AI Agentic AI and enterprise AI architecture. We are looking for an experienced AI Architect to help design govern and deliver production-grade agentic AI systems for leading organizations across the region. This is a senior client-facing role for someone who can combine deep technical architecture with consulting presence and business understanding.

As an AI Architect Agentic AI Systems you will lead the design of next-generation AI platforms and multi-agent solutions across key sectors including government smart cities infrastructure and large-scale transformation programs. You will collaborate with stakeholders engineers and cloud specialists to translate complex business needs into enterprise-grade AI architectures.

• Design multi-agent architectures including orchestration planning routing and human-in-the-loop workflows.
• Architect enterprise RAG solutions including vector databases search strategies and knowledge systems.
• Define memory architectures for agentic systems including short-term and long-term memory.
• Design secure integrations between LLMs enterprise applications APIs and business systems.
• Establish AI governance responsible AI practices and model risk controls.
• Define evaluation frameworks including testing monitoring and observability of AI systems.
• Support cloud-native GenAI platforms across Azure AWS and GCP ecosystems.
• Advise clients on LLM selection architecture decisions and operating models.
• Act as a technical authority in client workshops RFPs and executive discussions.
• Mentor teams and contribute to building EY AI capability.

• 8 years of experience in technology AI or solution architecture.
• Hands-on experience with LLMs GenAI and agentic AI systems.
• Knowledge of frameworks such as LangGraph Semantic Kernel AutoGen or CrewAI.
• Strong understanding of RAG architectures and vector databases.
• Experience with cloud APIs microservices containers and enterprise systems.
• Knowledge of AI security governance and LLMOps.
• Strong communication and stakeholder management skills.

Bachelors or Masters degree in Computer Science AI Engineering Data Science or a related field.

Python LangGraph Semantic Kernel AutoGen Azure OpenAI AWS Bedrock Google Vertex AI RAG vector databases FastAPI Docker Kubernetes Terraform Databricks Snowflake MLflow.

You will work on high-impact AI transformation programs with leading organizations helping shape how enterprises adopt Agentic AI responsibly securely and at scale in one of the fastest-growing AI markets globally.