Senior Director, Enterprise AI Platform Engineering

Role Description

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.

Primary responsibilities include:

• Own and execute the roadmap for SentinelOne's enterprise AI platform — the Gateway, Harness, and Semantic Layers.
• 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.
• Own the technical roadmap for SentinelOne's Claude & Gemini Enterprise plugin framework.
• Partner closely with Enterprise Data, Enterprise Apps, Product Development, and Infosec to connect the platform to governed data sources.
• Govern how agents 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.

Qualifications

• You have built at least one production platform — AI or otherwise — that enforced centralized policy across multiple consumers.
• Hands-on depth in agent orchestration (LangGraph or equivalent), including experience routing to hosted model providers.
• Demonstrated experience designing and implementing an AI gateway.
• You have experience building or owning a model evaluation framework.
• Familiarity with the Model Context Protocol (MCP) and practical experience governing tool access.
• Hands-on familiarity with enterprise AI deployments — specifically Claude Enterprise and Gemini Enterprise.
• Strong software engineering background — you can write and review production code.
• Demonstrated ability to collaborate across organizational boundaries.
• Experience evaluating and selecting between build, buy, and assemble options at the layer level.
• 7+ years of software engineering experience, with at least 3 years in an engineering leadership role.

Benefits

• Equity & Rewards: Restricted Stock Units (RSUs), Employee Stock Purchase Plan (ESPP).
• Time Off & Wellbeing: Flexible time off, paid company holidays and paid sick time, gender-neutral parental leave, grandparent leave.
• Insurance & Financial Security: Medical, dental, and vision coverage, 401(k) retirement plan with company match, life and disability insurance, health and dependent care FSA, voluntary benefits, Employee Assistance Program (EAP), ARAG pre-paid legal, nationwide pet insurance, cancer care program, global business travel medical insurance.
• Work Perks & Flexibility: Home office allowance, mobile phone reimbursement.
• Wellness & Lifestyle: Wellness coach, wellness/gym reimbursement, fertility coverage, adoption & surrogacy reimbursement.