Lead Software Engineer AI + Python
JPMorgan Chase7 hours ago
Bengaluru, IndiaStaff+
Responsibilities
- Lead the architecture and hands-on delivery of scalable, reliable agentic AI platforms for enterprise workflows.
- Build production-grade AI systems with agents, skills, memory patterns, guardrails, and tool-use orchestration.
- Architect retrieval and context-engineering solutions using embeddings, semantic search, grounding, summarization, and prompt/version management.
- Engineer cloud-native AI services on AWS using containers, serverless patterns, event-driven messaging, and distributed data stores.
- Optimize latency, throughput, scalability, caching, context efficiency, reliability, and cost for AI platforms.
- Build governed APIs and integrations connecting AI capabilities with enterprise platforms, tools, and business processes.
- Establish evaluation, experimentation, regression testing, and observability frameworks for AI systems.
- Drive adoption and validation standards for enterprise-authorized AI-assisted software development tools.
- Mentor senior engineers and influence architecture and engineering direction across teams.
Requirements
- Formal training or certification in software engineering concepts and 8+ years of applied experience.
- Production experience architecting and shipping large language model applications, agentic workflows, and tool integrations.
- Advanced Python programming skills and experience writing production-quality code.
- Experience with agentic frameworks such as LangChain, LangGraph, Autogen, CrewAI, and A2A.
- Experience building retrieval-augmented generation solutions using embeddings, semantic search, grounding, vector databases, and prompt lifecycle management.
- Experience delivering cloud-native services with containers and serverless designs on AWS.
- Experience building systems with frontier models from OpenAI, Anthropic, or other providers using platforms such as AWS Bedrock or Google Vertex AI.
- Technical leadership experience involving mentoring, architecture decisions, cross-functional influence, and team standards.
- Experience using enterprise-authorized AI-assisted development tools and validating generated outputs for correctness, performance, and security.
- Preferred experience with evaluation harnesses, automated regression suites, experimentation platforms, Kubernetes deployment patterns, privacy and data minimization, AI guardrails, cost governance, reusable developer platforms, reference architectures, and technical standards.
Benefits
- Competitive total rewards package with eligibility for commission-based pay and/or discretionary incentive compensation, including cash or forfeitable equity.
- Comprehensive health care coverage, on-site health and wellness centers, retirement savings plan, backup childcare, tuition reimbursement, mental health support, and financial coaching.
- Equal opportunity employer that provides reasonable accommodations for religious practices, mental health needs, and physical disabilities.
Tech Stack
Categories
About JPMorgan Chase
JPMorgan Chase provides consumer and commercial banking, payments, credit card, wealth management, and corporate and investment banking services to individuals, businesses, institutions, and governments. The public company (NYSE: JPM) earns revenue from interest, fees, trading, and asset management across operations in more than 100 markets. Headquartered in New York City with roots dating to 1799, it serves retail customers and prominent corporate and government clients through brands including Chase and J.P. Morgan.