> Markdown version of [/jobs/ext/1957303-senior-lead-software-engineer-agentic-ai-sre-platform](https://www.wearedevelopers.com/jobs/ext/1957303-senior-lead-software-engineer-agentic-ai-sre-platform). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. 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:** Artificial Intelligence, Amazon Web Services, Software Applications, Cloud Computing, Computer Programming, Continuous Delivery, Software Debugging, Distributed Systems, Python (Programming Language), Machine Learning, Reliability Engineering, Search Technologies, Software Engineering, Software Systems, Retrieval-Augmented Generation, Delivery Pipeline, Large Language Models, Reliability of Systems, Production Code, Virtual Agents, Terraform
- **Published:** August 6, 2026
- **Apply:** https://www.jobmonkeyjobs.com/career/27908472/Senior-Lead-Software-Engineer-Agentic-Ai-Sre-Platform-Washington-Seattle-7463

## About the Role

* Formal training or certification on software engineering concepts and 5+ years applied experience
 * Advanced proficiency in programming with Python
 * Proficiency in all aspects of the Software Development Life Cycle and in automation and continuous delivery methods
 * Hands-on experience delivering agentic AI to production (not just LLM wrappers or prompt-to-workflow integrations)
 * Experience with AI agent frameworks (e.g., LangGraph, CrewAI), runtimes, orchestration, evaluation/benchmarking systems, 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

Preferred qualifications, capabilities, and skills

 * Previous experience working within infrastructure, platform engineering, or reliability engineering domains
 * Knowledge of site reliability engineering concepts, including Service Level Objectives/Indicators, error budgets, incident management, resilience patterns, and observability
 * Previous experience as a machine learning software engineer in a dynamic technology company or startup.

## Description

* 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 eliminate or 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
 * Contribute to a team culture of diversity, opportunity, inclusion, and respect


## Related Videos

- [The Missing Layer Between Enterprise Data and AI Agents](https://www.wearedevelopers.com/videos/100286-the-missing-layer-between-enterprise-data-and-ai-agents)
- [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)
- [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app)
- [AI in Leadership: How Technology is Reshaping Executive Roles](https://www.wearedevelopers.com/videos/1705-ai-in-leadership-how-technology-is-reshaping-executive-roles)

## Related Articles

- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care)
- [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud)
- [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)
- [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)