Lead AI Platform Engineer: GenAI & Agentic Systems

JPMorgan Chase; Jersey City (NJ); On-site; USD 140,000 - 210,000; Full time

Job summary

JPMorganChase in Jersey City, NJ is seeking a Lead Software Engineer to drive key components of Markets Sales AI Platform and onboard agentic workflows in a federated, scalable manner. You will ship production-grade code and own end-to-end delivery with a focus on secure and observable systems.

You’ll lead design, integration, and evaluation of LLM-based solutions, partnering with Quant Research, Product, and Engineering to turn frontier GenAI capabilities into reliable, high-leverage agentic

Qualifications

• Formal training or certification in software engineering concepts with 5+ years of applied experience
• Degree in Computer Science, Data Science, Machine Learning or related field
• Strong coding skills (Python) and comfort owning production code
• Hands-on experience in AWS, ECS, Bedrock
• Agentic development tool kit example Google ADK must have
• Familiarity with evaluation frameworks, LLM observability, or fine-tuning open-weight models
• Hands-on experience building with LLMs (agent frameworks, tool use, RAG, prompt engineering, evals)
• Strong understanding of modern GenAI capabilities, failure modes, and practical mitigation strategies
• Strong ownership and drive mindset with a focus on improving what's broken with clear design principles
• Experience working in a fast pace environment

Responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
• Drive/Build/Own agentic platform with UI, orchestration, routing, memory, training ground and evaluations frameworks end-to-end: design, prototype, and productionize multi-step LLM agents that retrieve context and generate accurate, well-structured responses
• Drive applied AI by evaluating emerging techniques (tool use, planning, retrieval, evaluation frameworks, fine-tuning, prompt optimization) and integrating the best into production
• Improve quality systematically via evals, error analysis, and feedback loops that convert subjective issues into measurable fixes
• Partner cross-functionally with quant research, product, and engineering to understand their agents and provide solutions on-board on to our platform in a federated way.
• Build and maintain production-grade code and systems that are observable, robust, and scalable
• Contribute to technical direction and standards for agent design, evaluation, and safe deployment
• 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.
• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture

Skills

Python programming

Production-grade code ownership

Fast-paced environment adaptability

Strong ownership mindset

Education

Bachelor's degree in Computer Science or related field

Tools

AWS

ECS

Bedrock

Google ADK

Job description

JPMorganChase in Jersey City, NJ is seeking a Lead Software Engineer to drive key components of Markets Sales AI Platform and onboard agentic workflows in a federated, scalable manner. You will ship production-grade code and own end-to-end delivery with a focus on secure and observable systems.

You’ll lead design, integration, and evaluation of LLM-based solutions, partnering with Quant Research, Product, and Engineering to turn frontier GenAI capabilities into reliable, high-leverage agentic