AI Lead/Architect (GenAI & Agentic AI)

Candidate should have 12 years of experience.

Design and implement end-to-end AI architecture leveraging Generative AI (LLMs) and Agentic AI systems

Build and orchestrate multi-agent workflows for autonomous decision-making and task execution

Develop scalable microservices-based backend systems and integrate AI capabilities via APIs

Architect RAG (Retrieval-Augmented Generation) pipelines using vector databases and embeddings

Lead integration of AI solutions with enterprise applications, data platforms, and external services

Define best practices for prompt engineering, memory management, and tool usage in AI agents

Collaborate with UI teams to build AI-driven user experiences (chatbots, copilots, dashboards)

Select and evaluate LLMs, AI frameworks, and cloud AI services (AWS, Azure, Google Cloud Platform)

Ensure security, compliance, scalability, and governance of AI systems in production

Provide technical leadership and architecture guidance, mentoring teams and driving AI adoption strategy