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Define and own the enterprise architecture for Agentic AI platforms, AI assistants, copilots, and
Design and implement multi-agent systems leveraging reasoning, planning, memory, orchestration, and
Architect production-grade GenAI solutions including RAG, intelligent search, knowledge assistants
Establish AI engineering standards covering LLMOps, MLOps, platform governance, observability
Lead technology selection across LLMs, orchestration frameworks, vector databases, and cloud AI
Drive enterprise adoption of AI while ensuring scalability, security, compliance, and commercial

Bring 15+ years of software engineering, architecture, and platform leadership experience.
Demonstrate 8+ years delivering AI/ML platforms in production environments.
Proven experience architecting and deploying Agentic AI, LLM, and Generative AI solutions at scale.
Strong background in Financial Services, Banking, Insurance, Healthcare, or other regulated
Demonstrated experience leading large engineering teams and complex transformation programmes.
Show a track record of delivering enterprise AI platforms from strategy through implementation and

Lead Agentic AI Architect

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