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Strong Tier-1 brand, metro location, and broad AI/platform skillset increase competition moderately.
Specialized agentic AI, MCP, and enterprise governance skills are highly domain-specific and not easily transferable.
Explicit 8+ years, mandatory AI/agent tech stack, governance and 80% test coverage enforce strict filters.
Lead technical execution and architecture of Semantic Agent Layer, developing autonomous Data Agents that implement governed business logic and expose cognitive capabilities via Model Context Protocol (MCP).
Manage and lead an agile engineering squad responsible for sprint planning, coding standards, and mentorship implementing AI-first development practices using generative AI tools.
Ensure integration and alignment with Distribution Squad and enterprise AI architecture while maintaining production observability, security compliance, and risk validation of AI agent outputs.
8-10+ years of progressive software engineering experience with strong hands-on coding and production delivery.
2-3+ years of dedicated AI engineering experience focusing on agentic AI, prompt engineering, and generative AI systems.
Bachelor's degree in Computer Science, IT, Artificial Intelligence, or a related quantitative field.
Expert proficiency in Python and AI frameworks (LangChain, LangGraph, Google ADK), plus hands-on experience with CICD, DevOps (Docker, Kubernetes, Harness/Jenkins), and MCP integration.
Experienced technical leader comfortable managing hands-on coding and sprint execution in an agile environment with AI-first engineering mindset.
Strong domain expertise in AI agent development, semantic modeling, verification/trust engineering, and integrating complex enterprise data systems.
Proven collaborator able to coordinate across squads and align technical implementations with enterprise AI architecture and compliance requirements.