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# REMOTE - AI Engineering Manager (Databricks)

- **Company:** State Farm Insurance
- **Location:** Bloomington, IL, United States (Remote available)
- **Salary:** $151,000.0 - $247,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Software Quality, Continuous Integration, Programming Tools, Python (Programming Language), Systems Development Life Cycle, Reliability Engineering, Standard Sql, Runbook, Data Streaming, Large Language Models, Prompt Engineering, Fastapi, Data Lakes, Pyspark, Free and Open-Source Software, Machine Learning Operations, Api Design, Streamlit Framework, Databricks
- **Published:** June 22, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=e94b508a2af46082

## About the Role

Do you have experience in Tooling?, * Leadership: 2+ years managing engineering teams. Experience with embedded/distributed teams. Coaching mindset.

 * Production (Non-Negotiable): Shipped end-to-end systems to production with real users, SLAs, and on-call. Not PoCs. 1+ year operating production ML/AI systems.
 * Databricks: 2+ years production Databricks (Delta Lake, Unity Catalog, MLflow, PySpark). Medallion architecture. Cost optimization.
 * Agentic/LLMs: Anthropic Claude production experience (structured outputs, tool use, multi-turn). Built developer tools with LLMs. Evaluation frameworks. Prompt engineering at scale.
 * Engineering: Production-grade Python. SQL expertise. CI/CD. API design. Code quality obsession. Threat modeling. Chaos engineering.
 * Communication: Technical teaching. Influence without authority. Clear written communication. Stakeholder management.

## Description

Lead a team of 3-5 embedded agentic engineers who work inside Product Oriented Delivery pods, helping engineers, analysts, and product owners ship twice as fast with twice the quality through agentic workflows. You'll build the agentic harness tuned to our existing infrastructure, write code alongside your team, run the developer community, and ensure a steady stream of innovation projects make it to production on Databricks
What You'll Own

 * Team Leadership (30%) - Hire, manage, and grow 3-5 embedded engineers. 1:1s, career development, removing blockers. You code 30-40% of the time.
 * Agentic Harness (25%) - Build the agentic harness tuned to our infrastructure - hooks, connectors, and integrations with Claude for code quality checks, artifact generation, and next-best-action guidance through the SDLC.
 * Databricks Solutions (20%) - Production templates for Medallion pipelines, Unity Catalog governance, MLflow, PySpark. Not PoCs - real systems with monitoring and runbooks.
 * Developer Community (15%) - Demos, office hours, pattern libraries. Measure adoption and impact.
 * Production Readiness (10%) - Quality gates, automated checks, incident coaching, ET handoff.

What Success Looks Like

 * Team hired, embedded in pods, and shipping agentic infrastructure
 * Developer adoption >70% - teams actively using agentic tools in daily work
 * Projects consistently shipping to production with proper monitoring and handoff
 * Cycle time cut in half. Incidents down 50%. Measured, not estimated.
 * Developer community thriving with demos, office hours, and a living pattern library
 * You've developed a successor on your team, * Developer platforms or CLI tools. DORA/SPACE metrics. Open-source contributions. Event streaming. Privacy regulations. Insurance/fintech/regulated industries. Lightweight UI skills (Streamlit, Gradio, FastAPI + HTMX).


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