Application Development Technical Lead - Semantic & AI Agent Engineer (Data Services)
Citi (company site, opens in a new tab)8+ yrsPuneHybridDirect career pageEst. 35–60 LPA
Posted on 1 Sept
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Job description
Structured overview of role & requirements
About This Role
- 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.
Minimum Requirements
- 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.
Ideal Candidate Profile
- 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.