Sr Lead Software Engineer - Agentic AI Engineer
About the role
Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. As a Sr Lead Software Engineer at JPMorganChase within the Consumer and Community Banking – Digital 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. This role requires a strong AI-forward mindset. We are looking for engineers who don't just use AI — they think with it, build with it, and know when not to use it.
Responsibilities
- Leverage AI-powered coding assistants (e.g., GitHub Copilot, Claude) as core tools in daily development workflows — writing, reviewing, debugging, and refactoring code with speed and precision
- Validate, critique, and iterate on AI-generated outputs rather than accepting them uncritically; apply sound engineering judgment to AI suggestions
- Continuously evaluate emerging AI tools and techniques, driving adoption where they deliver measurable productivity and quality gains
- Design, build, and deploy enterprise-grade AI solutions including Retrieval-Augmented Generation (RAG) pipelines, agentic AI systems, and LLM-powered workflows
- Architect AI systems with production-level concerns: scalability, cost management, latency, data privacy, hallucination mitigation, and observability
- Design, build, and deploy agentic solutions with enterprise grade identity, guardrails, tracing etc.
- Execute creative software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches. Develop secure, high-quality production code and review and debug code written by others
- Apply strong systems thinking — understand how components connect end-to-end, where failures occur, and how changes propagate across distributed systems
- Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability
- Lead evaluation sessions with external vendors, startups, and internal teams to probe architectural designs, technical credentials, and applicability within existing systems
- Influence stakeholders and drive alignment across teams without direct authority, and own outcomes end-to-end — take accountability when things go well and when they don't