Sr. Director, Enterprise AI Platform Engineering

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