Principal AI Developer Experience Architect

Join SentinelOne as a Principal AI Developer Experience Architect, where you will be the technical authority for the AI engineering layer. You will design the integration of enterprise-grade AI coding assistants and LLM platforms into our engineering workflows, ensuring AI-generated code is trustworthy, performant, and reliable. Your work will have a measurable impact on context management, prompt design, and AI-driven code review.

• Architect the AI Engineering Layer by defining the end-to-end architecture for AI-augmented development, centered on enterprise-grade AI coding assistants and LLM platforms.
• Own the strategy and architecture that ensures AI-generated code is trustworthy, performant, and reliable by default for an 800+ developer organization.
• Lead the integration of AI-powered code review tools and implement AI-Driven Code Review and Safety as Code, ensuring adherence to SentinelOne’s AI Policies.
• We’re looking for people who are relentlessly curious and committed to continuous learning
• Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes
• 10+ years in software engineering, platform/dev tools, or infrastructure engineering, including significant experience operating at Staff/Principal level in a 300+ engineer product organization
• 3+ years designing and shipping LLM‑powered developer tools or workflows in production environments
• Proven track record of architecting developer platforms or large‑scale internal tooling used by hundreds of engineers
• Hands-on experience integrating at least one enterprise AI coding assistant into IDEs and Git hosting platforms
• Strong background in AST-based code analysis, static/dynamic analysis, and policy-as-code for automated PR review
• Strong grounding in security and compliance for SaaS and AI/ML systems
• Solid understanding of CI/CD systems and progressive delivery and how to embed AI in those pipelines
• Deep understanding of LLM context window design, retrieval strategies, prompt engineering at scale, and how they interact with large polyglot codebases
• Excellent written and verbal communication skills; able to produce clear design docs, evaluation criteria, and developer‑facing guidance that drive alignment at scale
• Experience acting as a cross‑org technical leader: aligning Staff/Principal engineers, EMs, and PMs around a shared architecture and standard
• Comfortable presenting technical tradeoffs and ROI to senior leadership, and defending architecture choices with data
• Proven ability to mentor and partner with the entire Product and Technology organization to deliver complex multi‑quarter programs