JPMorgan Chase
Lead Software Engineer - AI/ML - AI Agent Platform
$157K–$215K
Jersey City, NJ +4 · Full-time · Posted Sep 22, 2026
- Location
- Jersey City, NJ
Palo Alto, CA
Seattle, WA
Plano, TX
New York, NY - Experience
- 5+ years of applied AI/ML experience.
- Education
- Formal training or certification on applied artificial intelligence and machine learning concepts.
About the job
Leads the design, delivery, and operation of an AI agent platform SDK and services used by engineering teams to build, evaluate, and run production AI agents.
What you'll do
- Deliver and operate platform SDKs, orchestration frameworks, and reusable services for agent workflows, retrieval, model serving, voice, document extraction, and memory.
- Build evaluation, testing, observability, and safety capabilities; iteratively improve agent performance in areas such as NL2SQL and RAG.
- Set engineering standards, mentor engineers, and partner with product, engineering, data, security, and risk teams on platform direction and delivery.
What they ask for
- Formal training or certification in applied AI and machine learning concepts, plus 5+ years of applied experience.
- Advanced proficiency in Python and strong software engineering fundamentals.
- Hands-on experience building, evaluating, and deploying production ML or LLM systems.
- Experience with prompt engineering and RAG, including evaluation methods, benchmarks, and quality measurement.
Nice to have
- Experience with agent orchestration frameworks such as LangGraph, LlamaIndex, or Google ADK.
- Experience with voice agents, document extraction, agentic memory, vector databases, Docker, Kubernetes, or cloud/ML platforms.
Pay
USD 156,750.00-$215,000.00 base salary (Jersey City, NJ); USD 156,750.00-$215,000.00 base salary (Palo Alto, CA); USD 156,750.00-$215,000.00 base salary (Seattle, WA); USD 156,750.00-$215,000.00 base salary (New York, NY)
Tools
Python, LangGraph, LlamaIndex, Google ADK, Docker, Kubernetes, Amazon Web Services, Databricks
AI focus
Builds an enterprise AI agent platform, including orchestration, tool calling, RAG, NL2SQL, voice and document-extraction agents, agentic memory, evaluation, and safety controls.
Model-written summary · the original posting is authoritative