Senior Lead AI Reliability Engineer

Fairygodboss

Seattle (WA)

On-site

USD 180,000 - 240,000

Full time

14 days+

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Job summary

JPMorganChase is seeking a Senior Lead Software Engineer to spearhead architecting and delivering agentic AI systems at enterprise scale. You will lead production-grade AI agents that reason, analyze, and act across telemetry pipelines, applications, and cloud infra, driving reliability and operational excellence.

You will design, implement, and govern agentic architectures with security, observability, and guardrails while optimizing cost and scalability.

Qualifications

Formal training or certification on software engineering concepts and 5+ years applied experience.
Advanced proficiency in Python.
Experience delivering agentic AI to production (not just LLM wrappers).
Experience with AI agent frameworks (e.g., LangGraph, CrewAI), runtimes, orchestration, evaluation/benchmarking, and model selection policies.
Experience developing production generative AI applications at scale with experimentation, model quality measurement, retrieval-augmented generation, and vector search.
Strong cloud infrastructure experience (e.g., AWS) and infrastructure-as-code (e.g., Terraform).
Experience building distributed systems or high-scale systems where reliability matters.

Responsibilities

Design and develop enterprise AI systems that enhance engineering productivity, system reliability, and operational excellence.
Architect autonomous agents - not just integrating workflows, but AI systems that reason, analyze, and act across system and application reliability.
Architect and govern agentic system components including orchestration, memory/state management, workflow control, and human-in-the-loop patterns where needed.
Own the agentic architecture non-functional requirements posture end-to-end: observability, security, guardrails, and evaluation.
Provision and manage scalable AI infrastructure, deployment pipelines, and cost optimization.
Execute creative software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
Develop secure, high-quality production code, and review and debug code written by others.
Identify opportunities to automate remediation of recurring issues to improve overall operational stability of software applications and systems.
Lead 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.