Lead AI Platform Engineer for GenAI & Enterprise

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 180,000 - 260,000; Full time

Job summary

JPMorgan Chase & Co. within Corporate Technology seeks a Lead Software Engineer to architect and implement scalable GenAI applications and agentic AI platforms for Finance use cases.

You will design cloud-native AWS services, establish evaluation and observability standards, and drive technical decisions across teams to improve reliability, cost, and velocity. The ideal candidate has advanced Python skills, experience delivering LLM/agentic systems, and proven technical leadership in a regulated

Qualifications

• Formal training or certification on software engineering concepts.
• 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 with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations
• Familiarity with agentic workflows and frameworks (e.g., LangChain, LangGraph, Autogen, CrewAI and A2A etc)
• Experience building retrieval-augmented generation solutions (embeddings, semantic search, grounding) using Vector databases and managing prompt lifecycle/versioning
• Strong software engineering fundamentals with ability to deliver cloud-native services using containers and serverless designs on AWS
• Advanced python programming skills with experience writing production quality code
• Build systems using frontier models from OpenAI, Anthropic or others leveraging platforms such as AWS Bedrock / Google Vertex AI or other similar platforms
• Proven technical leadership skills, including mentoring, driving architecture decisions, and influencing cross-functional stakeholders
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.

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 to improve code quality, delivery speed, and operational outcomes, while establishing validation standards and promoting reuse across the team.
• Applies knowledge of SDLC tools, including enterprise AI-assisted development and automation capabilities, to improve value of 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 improve quality and agent behavior.
• Mentor senior engineers and influence engineering direction through code reviews, architecture forums, and cross-team leadership.
• Leverages enterprise-authorized AI coding assist tools to improve code quality, delivery speed, and productivity, with peer review and secure coding standards.

Skills

Python

LLM/agentic systems

AI architecture

Mentoring

AWS

Containers/serverless

Observability

Secure coding

Education

Formal training or certification on software engineering concepts

Tools

LangChain

LangGraph

Autogen

CrewAI

A2A

Job description

JPMorgan Chase & Co. within Corporate Technology seeks a Lead Software Engineer to architect and implement scalable GenAI applications and agentic AI platforms for Finance use cases.

You will design cloud-native AWS services, establish evaluation and observability standards, and drive technical decisions across teams to improve reliability, cost, and velocity. The ideal candidate has advanced Python skills, experience delivering LLM/agentic systems, and proven technical leadership in a regulated