Lead Software Engineer - Cloud/Python/AI Engineer

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 Corporate Sector - Data Visualization & BI 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.

Job 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


* Own outcomes end-to-end - take accountability when things go well and when they don't

Required Qualifications, Capabilities, and Skills


* Formal training or certification in software engineering concepts and 5+ years of applied experience


* Demonstrated fluency with AI-assisted development tools (e.g., GitHub Copilot, Claude Code, Cursor) - not just familiarity, but daily integrated use


* Hands-on experience building AI/ML-powered features or...