JPMorgan Chase
Lead Software Engineer - Agentic AI
Plano, TX · Full-time · Posted Sep 21, 2026
- Experience
- 5+ years applied experience.
- Education
- Formal training or certification on software engineering concepts.
About the job
Leads development and delivery of an agentic AI platform, translating experiments into reliable, secure, production-ready capabilities for enterprise use.
What you'll do
- Set the agent platform roadmap and lead delivery of platform components, SDKs, reference implementations, and integration patterns.
- Establish operational, quality, performance, governance, privacy, and model-risk standards for agent workloads.
- Align stakeholders and promote validated, responsible AI-assisted engineering practices across the team.
What they ask for
- Formal training or certification in software engineering concepts and 5+ years of applied experience.
- Proficiency in Python and/or TypeScript, Java, or Go for enterprise backend integration.
- Production experience with agentic frameworks and orchestration, plus expertise in tool/function calling, API integration, and MCP.
- Experience designing RAG systems and scalable backend services, and leading safe, approved AI-assisted software development.
Nice to have
- Experience building agent systems, orchestration patterns, agent tooling, or evaluation frameworks; or scalable model serving.
- Responsible AI or model-risk experience, open-source contributions, or machine learning experience in regulated financial services.
Tools
Python, TypeScript, Java, Go, Pinecone, Milvus, Qdrant, pgvector
AI focus
Builds an agentic AI platform and production agent capabilities, including orchestration, RAG, tool calling, memory, model serving, governance, and responsible AI-assisted engineering.
Model-written summary · the original posting is authoritative