AI Team Lead

Summary

You will be the tactical engine of a growing AI team shipping production agents alongside your engineers unblocking the hard problems and raising the bar for everyone around you. This is a player coach role: youll be deep in the code mentor the next generation of AI engineers and make sure the squad delivers real business value sprint after sprint. Leadership here means pull requests and solved problems not slide decks.

About Jewelers Mutual

Jewelers Mutual Group has been protecting the jewelry industry for over a hundred years and were now pairing that deep domain expertise with a ground-up technology transformation. Our engineering team in Raleigh is building a serverless event-driven platform on AWS a modern data stack on Databricks and an enterprise AI capability designed to change how insurance works. This is Silicon Valley energy inside a company thats been earning trust since 1913.


What Youll Do

• Drive Execution on the AI Squad: Own the day to day technical delivery of the AI team. Youll set sprint priorities break down complex work into shippable increments remove blockers and make sure the squad is consistently delivering value not spinning on interesting problems that dont move the needle.
• Ship Code and Ship Agents: This is not a clipboard role. Youll be hands-on in the codebase designing multi-agent orchestration systems building integrations and solving the hardest technical problems on the squad. You lead by example and your team sees your commits.
• Lead and Grow AI Engineers: Manage a team of AI Engineers providing technical mentorship meaningful code reviews and career development. Youll create an environment where builders thrive: high standards fast feedback loops and a bias toward shipping.
• Own Production Reliability for AI Systems: Establish the evaluation frameworks observability practices and operational standards that keep agents performing in production. When something breaks at 2 AM your architecture and your runbooks should make the fix obvious.
• Drive AI Adoption Across the Business: Partner with leaders across underwriting claims customer experience operations and engineering to identify the highest-leverage opportunities for AI. Translate business problems into technical approaches and help stakeholders understand whats possible whats practical and whats next.
• Build AI That Thrives in Production: Anyone can build a compelling demo. Youll hold the team to a higher standard building agents with the transparency explainability and ethical foundations that unlock deployment in workflows where it actually matters.
• Stay Ahead of the Curve: Maintain deep fluency in the rapidly evolving agentic ecosystem including Claude Claude Code MCP and emerging frameworks. Evaluate new tools and approaches with a builders eye and make pragmatic bets on what to adopt what to watch and what to skip.

What Youll Bring

• 5-8 years of software engineering experience with 2-3 years building and deploying AI/LLM-powered systems in production. Youve shipped agents that handle real workloads and youve learned what breaks when they do.
• Prior experience leading a technical team whether as a formal tech lead engineering manager or senior IC who naturally pulled others into their orbit. You know how to set direction give hard feedback and develop talent.
• Strong software engineering skills across one or more modern languages with deep experience in agentic frameworks including LangGraph CrewAI AutoGen Claude tool use or equivalents. You have opinions about these tools because youve built real things with them.
• Strong fundamentals in API design async/event-driven systems and cloud infrastructure (AWS strongly preferred). You can design systems that other engineers want to build on.
• Experience building evaluation tracing and observability for AI systems using LangSmith Langfuse or similar tools. Youve defined what good looks like for agent behavior and built the systems to measure it.
• Working knowledge of RAG architectures vector stores and embedding pipelines. Youve built retrieval systems on real-world messy enterprise data not clean tutorial datasets.
• Bonus points: Insurance or fintech domain experience MCP server development Claude Code power user or a track record of building high-performing engineering teams from the ground up.

What We Offer You

• Competitive Compensation & Benefits: Includes performance bonuses generous paid time off and a top-tier retirement program with 401(k) matching and additional company contributions.
• State-of-the-Art Office in North Hills Raleigh: A brand-new engineering hub in one of Raleighs best neighborhoods walkable to restaurants coffee and everything you need. Built for collaboration not cubicles.
• Collaborative Culture: Work alongside talented passionate peers who value ownership and continuous learning.
• Community & Giving: Benefit from 50% charitable gift matching and paid volunteer time to support nonprofit causes.
• Great Place to Work Certified: Join a team recognized for an environment of innovation and growth.