Principal Agentic Engineer

Key responsibilities: Architect the AI ecosystem by integrating AI Platforms, AI DevX, and Agentic PDLC to create a unified framework Define and own the standards for agents, including identity models and evaluation infrastructure, to facilitate seamless development across teams Engage in hands-on development of core components, validating architecture through real-world application and prototyping

Required qualifications: 12+ years of engineering experience with a focus on platform or systems architecture at consumer scale (50M+ MAU preferred) Demonstrated experience architecting agentic systems in production, including frameworks and evaluation infrastructure Direct experience with non-human identity and agent authorization models Proficiency in designing structured interfaces for AI systems and building evaluation frameworks Strong architectural judgment across multiple services and teams, with a track record of influencing technical direction