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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Lead Software Engineer - Agentic AI SRE Platform - **Company:** JPMorgan Chase & Co. - **Location:** Seattle, WA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Cloud Computing, Continuous Integration, Python (Programming Language), Systems Development Life Cycle, Reliability Engineering, Search Technologies, Software Engineering, Software Systems, Delivery Pipeline, Multi-Agent Systems, Model Validation, Production Code, Virtual Agents, Terraform - **Published:** August 6, 2026 - **Apply:** https://us.experteer.com/career/view-jobs/senior-lead-software-engineer-agentic-ai-sre-platform-seattle-wa-usa-58812063 ## About the Role systems security, guardrails, evaluation * Provision and manage scalable AI infrastructure, deployment pipelines, and cost optimization * Deliver creative software solutions beyond routine approaches and troubleshoot complex problems * Develop secure, high-quality production code and review others' work * Identify opportunities to automate remediation and improve operational stability * Lead evaluation sessions with external vendors and internal teams for architectural alignment * Foster a team culture focused on diversity, inclusion, and respect Tasks * Formal training or certification on software engineering concepts * 5+ years applied experience * Advanced proficiency in Python * Proficiency in SDLC and automation/CI/CD * Hands-on experience delivering agentic AI to production * Experience with AI agent frameworks (e.g., LangGraph, CrewAI), runtimes, orchestration, evaluation/benchmarking, model selection policies * Experience building production generative AI applications at scale with RAG, vector search * Strong cloud infrastructure experience (e.g., AWS) and Terraform * Experience building distributed/high-scale systems where reliability matters Key requirements * competitive total rewards package * healthcare coverage * retirement savings plan * backup childcare * tuition reimbursement * mental health support ## Description Experteer Overview In this role you lead the architecture and development of production-grade agentic AI and multi-agent systems within the Reliability Engineering team. You will design autonomous agents that integrate across telemetry pipelines, application stacks, and cloud infrastructure to improve productivity, reliability, and operational excellence at enterprise scale. You'll shape how intelligent automation enhances platform reliability for a leading financial institution. You will collaborate cross-functionally to drive impactful, scalable solutions and governance around agentic systems. Compensation / Benefits * Design and develop enterprise AI systems to boost productivity, reliability, and operational excellence * Architect autonomous agents with reasoning, analysis, and action across system and application reliability * Governing agentic components: orchestration, memory/state, workflow control, and human-in-the-loop patterns * Own end-to-end non-functional posture: observability, security, guardrails, evaluation * Provision and manage scalable AI infrastructure, deployment pipelines, and cost optimization * Deliver creative software solutions beyond routine approaches and troubleshoot complex problems * Develop secure, high-quality production code and review others' work * Identify opportunities to automate remediation and improve operational stability * Lead evaluation sessions with external vendors and internal teams for architectural alignment * Foster a team culture focused on diversity, inclusion, and respect Tasks * Formal training or certification on software engineering concepts * 5+ years applied experience * Advanced proficiency in Python * Proficiency in SDLC and automation/CI/CD * Hands-on experience delivering agentic AI to production * Experience with AI agent frameworks (e.g., LangGraph, CrewAI), runtimes, orchestration, evaluation/benchmarking, model selection policies * Experience building production generative AI applications at scale with RAG, vector search * Strong cloud infrastructure experience (e.g., AWS) and Terraform * Experience building distributed/high-scale systems where reliability matters Key requirements * competitive total rewards package * healthcare coverage * retirement savings plan * backup childcare * tuition reimbursement * mental health support ## Related Videos - [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app) - [Infrastructure as Code: The Developer's Secret Weapon](https://www.wearedevelopers.com/videos/1221-infrastructure-as-code-the-developer-s-secret-weapon) - [Guiding Agentic AI with Vue](https://www.wearedevelopers.com/videos/2033-guiding-agentic-ai-with-vue) - [Green Cloud Computing](https://www.wearedevelopers.com/videos/592-green-cloud-computing) - [AI in Leadership: How Technology is Reshaping Executive Roles](https://www.wearedevelopers.com/videos/1705-ai-in-leadership-how-technology-is-reshaping-executive-roles) - [Pioneering AI Assistants in Banking](https://www.wearedevelopers.com/videos/1627-pioneering-ai-assistants-in-banking) ## Related Articles - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Got AI ideas but no money? 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