Lead Software Engineer - Python and AI

About this role

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. 

As a Lead Software Engineer at JPMorganChase within the Commercial & Investment Bank, Post-Trade Technology team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. 

Job responsibilities

- Designs and builds production-grade agentic AI systems including LLM orchestration layers, RAG pipelines, vector databases, and MCP-based tool integrations
- Develops and reviews secure, high-quality code and debugs solutions written by team members or generated by AI models
- Architects multi-agent and single-agent setups, authors skill files, and writes
 technical RFCs for new AI capabilities
- Contributes to cloud-native deployments (AWS ECS), CI/CD pipelines, and infrastructure modernisation alongside platform engineering squads
- Builds and iterates on agentic patterns — multi-hop agents, vector search, automated
 code generation — from POC through UAT to full production rollout
- Translates regulatory operations and business requirements into precise technical designs and delivers against quarterly commitments
- Identifies opportunities to automate recurring operational issues, reducing manual toil and improving platform stability
- Participates actively in sprint ceremonies, code reviews, and architecture discussions as a senior technical contributor
- Contributes to an internal developer productivity accelerator as a technical mentor and active builder across 10+ cross-functional teams
- Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code qua...