Lead GenAI Platform Architect (AWS) | Enterprise AI

JPMorgan Chase; Jersey City (NJ); On-site; USD 157,000 - 215,000; Full time

Benefits offered by this job

Health care coverage

Retirement savings plan

Tuition reimbursement

On-site health and wellness centers

Job summary

JPMorganChase in Jersey City, NJ is seeking a Lead Software Engineer to architect and implement scalable GenAI applications and agent-based AI platforms for Finance use cases. You will design cloud-native AWS services, establish observability standards, and guide cross-team architecture decisions in a regulated enterprise.

The role requires advanced Python, production-grade LLM/agent systems experience and strong leadership to mentor engineers and drive architecture standards.

Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Experience architecting and shipping production large language model applications, including agentic workflows and tool integration patterns.
• Demonstrated experience leading effective use of approved AI-assisted software development tools and setting team expectations for validating AI outputs.
• Strong understanding of responsible AI use in engineering workflows with secure handling of inputs/outputs.
• Familiarity with agentic workflows and frameworks (e.g., LangChain, LangGraph, Autogen, CrewAI and A2A).
• Experience building retrieval-augmented generation solutions using vector databases and managing prompt lifecycle/versioning.
• Strong software engineering fundamentals delivering cloud-native services on AWS.
• Advanced Python programming skills and production-quality code.
• Proven technical leadership including mentoring and architecture decisions.

Responsibilities

• Lead the architecture and hands-on delivery of scalable, reliable agentic AI platforms for enterprise workflows.
• Drives team adoption of enterprise AI practices to improve code quality, delivery speed, and operational outcomes.
• Applies SDLC tools to improve automation value.
• Design and build production-grade AI systems including agents, skills, memory patterns, guardrails, and tool-use orchestration.
• Architect retrieval and context-engineering approaches with embeddings, semantic search, grounding, and prompt/version management.
• Engineer cloud-native AI services on AWS using containers and serverless patterns.
• Optimize platform performance across latency, throughput, scalability, caching, context efficiency, and cost controls.
• Build well-governed APIs and integrations that connect AI to enterprise platforms.
• Establish evaluation, testing and observability frameworks to improve agent behavior.
• Mentor senior engineers and influence engineering direction via architecture forums and reviews.
• Leverage AI coding assist tools with peer review and secure coding standards; share learnings across teams.

Skills

Python

LLM

AWS

Kubernetes

LangChain

Vector databases

Security best practices

Code review

Tools

AWS Bedrock

Google Vertex AI

Kubernetes-based deployment

LangChain

LangGraph

Autogen

CrewAI

A2A

Job description

JPMorganChase in Jersey City, NJ is seeking a Lead Software Engineer to architect and implement scalable GenAI applications and agent-based AI platforms for Finance use cases. You will design cloud-native AWS services, establish observability standards, and guide cross-team architecture decisions in a regulated enterprise.

The role requires advanced Python, production-grade LLM/agent systems experience and strong leadership to mentor engineers and drive architecture standards.