Lead Software Engineer AI + Python

Job Title: Lead Software Engineer AI + Python Company: JPMorganChase Job Category: Python Developer Roles & Responsibilities: JOB DESCRIPTION As a Lead Software Engineer at JPMorganChase within Corporate Technology, you will lead the architecture and hands\-on implementation of scalable GenAI Applications and agentic AI platforms for Finance use cases leveraging Firmwide AI tools \& platforms. You will design cloud\-native solutions, establish evaluation and observability standards, and drive technical decisions across teams to improve reliability, cost, and developer velocity. The candidate will design cloud\-native AWS services and reusable platform capabilities (agents, retrieval/RAG, guardrails, tool orchestration, APIs), while establishing strong evaluation, observability, reliability, security, and cost controls. Ideal candidates have extensive experience, advanced Python, proven delivery of LLM/agentic systems, and technical leadership skills to mentor engineers and drive cross\-team architecture standards in a regulated enterprise environment. Job responsibilities * Lead the architecture and hands\-on delivery of scalable, reliable agentic AI platforms for enterprise workflows * Drives team adoption of enterprise\-authorized AI\-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI\-assisted code review/refactoring, test strategy acceleration, incident/root\-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team. * Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise\-authorized AI\-assisted development and automation capabilities, to improve the value realized by automation. * Design and build production\-grade AI systems including agents, skills, memory patterns, guardrails, and tool\-use orchestration * Architect retrieval and context\-engineering approaches including embeddings, semantic search, grounding, summarization, and prompt/version management * Engineer cloud\-native AI services on AWS using containers and serverless patterns, event\-driven messaging, and distributed data stores * Optimize platform performance across latency, throughput, scalability, caching, context efficiency, and cost controls * Build well\-governed APIs and integrations that connect AI capabilities to enterprise platforms, tools, and business processes * Establish evaluation, experimentation, regression testing, and observability frameworks to continuously improve quality and agent behavior * Mentor senior engineers and influence engineering direction through code reviews, architecture forums, and cross\-team technical leadership * Leverages enterprise\-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness. Work Location: KA, India Availability: Full time

Required qualifications, capabilities and skills Preferred qualifications, capabilities and skills Key Skills: Python Salary: Not disclosed