Lead AI Engineer: Architect GenAI Agentic Platform

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 160,000 - 230,000; Full time

Job summary

JPMorganChase is seeking a Lead Software Engineer within the Sales Assistant Technology Team to advance, build, and deliver trusted market-leading technology products in a secure, scalable way. You will be a core technical contributor across multiple areas supporting the firm's objectives.

This hands-on role focuses on designing and building the Markets Sales AI Platform, turning frontier GenAI capabilities into reliable, high-leverage agentic systems that respond to client requests.

Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Degree in Computer Science, Data Science, Machine Learning or related field or related experience.
• 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
• 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

AWS (ECS Bedrock)

LLM tooling & agent architectures

Production-grade software engineering

GenAI capabilities knowledge

Education

Bachelor's degree or higher in CS/DS/ML

Tools

AWS

ECS

Bedrock

Google ADK

OpenSearch

Vector databases

Postgres

Job description

JPMorganChase is seeking a Lead Software Engineer within the Sales Assistant Technology Team to advance, build, and deliver trusted market-leading technology products in a secure, scalable way. You will be a core technical contributor across multiple areas supporting the firm's objectives.

This hands-on role focuses on designing and building the Markets Sales AI Platform, turning frontier GenAI capabilities into reliable, high-leverage agentic systems that respond to client requests.