Lead GenAI Platform Engineer

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 180,000 - 250,000; Full time

Job summary

JPMorganChase within Corporate Technology is seeking a Lead Software Engineer to steer the architecture and hands-on delivery of scalable GenAI applications and agentic AI platforms for finance use cases. You will design cloud-native AWS services, implement evaluation and observability standards, and drive cross-team technical decisions to improve reliability, cost, and velocity.

The role demands advanced Python proficiency, proven delivery of LLM/agentic systems, and strong technical leadership

Qualifications

• 5+ years of applied software engineering experience.
• Experience shipping production large language model apps with agentic workflows.
• Proven ability to guide AI-assisted software development and code reviews.
• Strong focus on secure, resilient and compliant AI in enterprise.
• Familiarity with agentic workflows and frameworks (LangChain, LangGraph, Autogen, CrewAI, A2A).
• Experience with embeddings, vector databases and prompt lifecycle/versioning.

Responsibilities

• Lead architecture and hands-on delivery of scalable agentic AI platforms for enterprise workflows.
• Drive adoption of enterprise-authorized AI engineering practices to improve code quality and delivery speed.
• Apply SDLC tools and automation to increase value from AI capabilities.
• Design and build production-grade AI systems including agents, skills, memory patterns, and tool-use orchestration.
• Architect retrieval and context-engineering approaches (embeddings, semantic search, grounding).
• Engineer cloud-native AI services on AWS using containers and serverless patterns.
• Optimize platform performance across latency, throughput, scalability, caching, and cost controls.
• Build well-governed APIs and integrations connecting AI to enterprise platforms and processes.
• Establish evaluation, experimentation, regression testing, and observability frameworks.
• Mentor senior engineers and drive cross-team architecture decisions.

Skills

Advanced Python

LLM/agentic systems

Technical leadership

Cloud-native AWS

Observability & testing

Mentor engineers

Education

Software engineering certification

Tools

AWS Bedrock

Kubernetes

LangChain

LangGraph

Autogen

Job description

JPMorganChase within Corporate Technology is seeking a Lead Software Engineer to steer the architecture and hands-on delivery of scalable GenAI applications and agentic AI platforms for finance use cases. You will design cloud-native AWS services, implement evaluation and observability standards, and drive cross-team technical decisions to improve reliability, cost, and velocity.

The role demands advanced Python proficiency, proven delivery of LLM/agentic systems, and strong technical leadership