Sr. Director, Enterprise AI Platform Engineering

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 Sr. Director, AI Enterprise Platform Engineering, you will build the AI foundation that every internal AI use case runs on top of. The platform you create will be the control plane through which all AI activity at SentinelOne is governed, observed, secured, and scaled — serving both custom-developed AI applications built by SentinelOne engineering teams and vendor-deployed AI solutions such as Claude Enterprise and Gemini Enterprise. What Will You Do? Primary responsibilities include :  Own and execute the roadmap for SentinelOne's enterprise AI platform — the Gateway, Harness, and Semantic Layers — moving us from direct-to-LLM connections to a governed, multi-model control plane. Design and build the AI Gateway layer: centralized identity and AuthN/Z, token budgeting, DLP and content guardrails, multi-model routing and failover, MCP allow-listing, and a full audit trail across every AI request. Build and operate the Harness layer: agent orchestration (LangGraph or equivalent), prompt construction and context management, memory and state across multi-turn interactions, model abstraction across Anthropic, OpenAI, Google, and others via providers such as AWS Bedrock and Vertex, and MCP/tool wiring for internal and SaaS-embedded agents.  Own the technical roadmap for SentinelOne's Claude & Gemini Enterprise plugin framework — a growing library of role-based skills and agents that surface AI capabilities to employees in the context of their specific roles. This includes expanding coverage across more roles and use cases, maturing the way plugins are securely authored, tested, and deployed, and continuously improving the quality and reliability of each plugin's outputs. Partner closely with Enterprise Data, Enterprise Apps, Product Development, and Infosec to connect the platform to governed data sources, align on security controls, and ensure every integration is built on shared architectural contracts. Govern how agents — whether user-instantiated in Anthropic, Google, or OpenAI products, engineered by SentinelOne teams, embedded in SaaS platforms, or arriving from external partners — interact with our systems, ensuring every caller passes through the same policy controls regardless of origin. Hire, mentor, and technically lead a team of engineers; set standards, review architecture decisions, and create an environment where strong engineers do their best work. Communicate platform status, architecture decisions, and risk posture clearly to executive stakeholders. What Skills and Knowledge Will You Bring? Ideal candidates will have:  You have built at least one production platform — AI or otherwise — that enforced centralized policy across multiple consumers: auth/AuthN/Z, rate limiting, observability, and audit logging. Bonus if that platform touched AI specifically (LLM gateway, model routing, or orchestration), but strong candidates from API platform, data platform, or developer platform backgrounds are equally welcome. What matters is that you can describe what you built, the tradeoffs you made, and what you'd do differently. Hands-on depth in agent orchestration (LangGraph or equivalent), including experience routing to hosted model providers such as AWS Bedrock and Google Vertex. You understand how context windows, memory,