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Principal AI Engineer

Skills
AdoptionDebuggingEngineeringExecutive LeadershipLeadershipProduction EngineeringSoftware Deployment
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • Deep software engineering background at principal staff-plus or equivalent level
  • Proven production experience with AI coding systems
  • Hands-on experience with modern coding agents and AI development workflows
  • Strong systems thinking and ability to influence at scale
  • Track record of introducing transformative developer tooling or workflow improvements
  • Ability to balance experimentation with security operational rigor and quality
  • Exceptional communication mentoring and technical leadership skills
  • Passion for helping teams adopt AI-native ways of working

Nice to have

  • Technical builder
  • Change agent
  • Collaborative
  • High-performance mindset
  • Practical coach
  • Influential leader

Day to day

  • Lead company-wide strategy for agentic coding and AI engineering enablement
  • Evaluate and operationalize AI coding agents and AI-native developer tooling
  • Drive practical adoption of AI-assisted development to improve productivity quality and velocity
  • Coach mentor and upskill engineering teams on AI-native workflows and human-in-the-loop practices
  • Build standards playbooks governance and metrics for safe effective AI use in engineering