JPMorgan Chase
Senior Lead Software Engineer - Agentic AI SRE Platform
$176K–$260K
Seattle, WA · Senior · Full-time · Posted Aug 5, 2026
- Experience
- 5+ years of applied experience.
- Education
- Formal training or certification on software engineering concepts.
About the job
Leads the architecture and development of production-grade agentic AI and multi-agent systems that improve reliability and engineering productivity across applications, telemetry pipelines, and cloud infrastructure.
What you'll do
- Design and govern autonomous agents and agentic system components, including orchestration, state management, guardrails, observability, and evaluation.
- Build and manage scalable AI infrastructure and deployment pipelines; develop, review, and troubleshoot secure production code.
- Automate recurring issue remediation and lead technical evaluations with vendors and internal teams.
What they ask for
- Formal training or certification in software engineering concepts and 5+ years of applied experience.
- Advanced proficiency in Python and proficiency across the Software Development Life Cycle, automation, and continuous delivery.
- Hands-on experience delivering agentic AI to production, with experience in agent frameworks, runtimes, orchestration, evaluation, and model selection.
- Experience building production generative AI applications at scale, cloud infrastructure and infrastructure-as-code, and reliable distributed or high-scale systems.
Nice to have
- Experience in infrastructure, platform engineering, or reliability engineering.
- Knowledge of site reliability engineering concepts; previous machine learning software engineering experience in a technology company or startup.
Pay
$175,750.00-$260,000.00 USD base salary
Tools
Python, LangGraph, CrewAI, AWS, Terraform
AI focus
Designs and operates production agentic AI and multi-agent systems, including generative AI, retrieval-augmented generation, vector search, model evaluation, orchestration, and autonomous reliability engineering.
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