Principal AI Developer Experience Architect

Our Purpose At SentinelOne, we are driven by a clear purpose: to give the advantage to those who secure our future. As AI reshapes how organizations build, operate, and innovate, the responsibility to protect them becomes more critical than ever. When you join SentinelOne, your work helps protect global enterprises, critical infrastructure, and the technologies shaping tomorrow. If you are motivated by meaningful challenges and want your impact to be real, measurable, and global, you will find purpose here. About Us SentinelOne is a company at the intersection of AI and security, pioneering a new operating model for cybersecurity. Our AI-native platform unifies protection across endpoint, cloud, identity, data, and AI systems to deliver autonomous detection and response with clarity and speed. By combining real-time analytics, intelligent automation, and a unified data foundation, we reduce noise, simplify complexity, and empower security teams to focus on what truly matters. Our teams are builders, problem-solvers, and innovators committed to shaping the future of security. If you are excited to solve hard problems alongside talented, mission-driven people, we invite you to help us build a safer future for humanity. What Are We Looking For? We’re looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes. As a Principal AI Developer Experience Architect, you will serve as the technical authority for the AI engineering layer at SentinelOne, designing how enterprise-grade AI coding assistants and LLM platforms integrate into our engineering workflows. You will own the strategy and architecture that ensures AI-generated code is trustworthy, performant, and reliable by default for an 800+ developer organization. Your work will ensure our AI tooling investment is secure, governed, and measurably impactful across context management, prompt design, and AI-driven code review. What Will You Do? Primary responsibilities include: Architect the AI Engineering Layer Define the end‑to‑end architecture for AI-augmented development at SentinelOne, centered on enterprise-grade AI coding assistants and LLM platforms integrated with our IDEs, CI/CD pipelines, and internal platforms. Design how large-context LLMs consume our codebase and documentation context so that AI assistance scales safely across hundreds of repos. Establish reusable patterns for agentic workflows with clear rollback and validation strategies. Own AI Guardrails, Skills, and Standards Define and maintain SentinelOne AI Coding Standards and a global skills & requirements framework that all AI coding tools (our chosen AI coding assistants, PR bots, agents) must enforce, including language, framework, security, performance, and reliability patterns. Translate these standards into prompt templates, tool configurations, and policy‑as‑code so they are enforced automatically rather than via documentation alone. Partner with InfoSec, Data Governance, and Legal to ensure all AI tooling adheres to SentinelOne’s AI Policies, data residency, and FedRAMP compliance requirements. Implement AI-Driven Code Review and Safety as Code Lead the integration of AI-powered code review tools that use AST analysis and static/dynamic checks to enforce style, security, performance, and reliability standards before human review. Integrate AI review signals with our SRE observability stack (logs, metrics, traces) to correlate code changes with incidents and anomalies, closing the loop from PR to production behavior. Encode “safety as code” by integrating test coverage, performance scans, and progressive delivery patterns (canaries, blue/green) into AI‑authored change flows. Lead Vendor Evaluation and Integration Serve as the principal technical owner for AI developer tooling evaluations using structured evaluation criteria and data-driven analysis. Work closely with the DevEx leadership and TPM to design and run POCs, define technical success criteria, and produce executive‑ready recommendations. Ensure all vendors meet SentinelOne’s security, privacy, and data governance standards. Drive Developer Adoption and Experience Act as the technical face of AI DevEx to engineering: publish guidance, patterns, and internal frameworks that make AI tooling a seamless part of everyday work rather than a side experiment. Partner with the AI Champions Network and Learning & Development to define curricula, hands-on labs, and “day‑in‑the‑life” workflows that level up prompt engineering and AI‑assisted development skills across developer organizations. Collaborate across the SentinelOne de