Sr. Director, Enterprise AI Platform Engineering at SentinelOne

, , United States -

Full Time

Start Date

Immediate

Expiry Date

27 Sep, 26

Salary

298000.0

Posted On

29 Jun, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Platform Engineering, Agent Orchestration, LLM Gateway Design, Model Evaluation Frameworks, API Design, Python, FastAPI, React, TypeScript, Pydantic.ai, AWS Bedrock, Google Vertex AI, Model Context Protocol (MCP), AuthN/Z, DLP, Engineering Leadership

Industry

Computer and Network Security

Description

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, and tool-calling actually work — not just conceptually. Demonstrated experience designing and implementing an AI gateway — centralized auth, rate limiting, DLP, observability, and audit logging across multiple model providers. Hands-on experience with Kong AI Gateway specifically is a plus. You have experience building or owning a model evaluation framework — not just running benchmarks, but closing the loop: using eval results to drive model selection, prompt tuning, and routing decisions. Familiarity with the Model Context Protocol (MCP) and practical experience governing tool access for agents operating across enterprise systems in a secure way. Hands-on familiarity with enterprise AI deployments — specifically Claude Enterprise (Anthropic) and Gemini Enterprise — including how they are administered, how access and policy controls work, and how they connect to a broader governed AI architecture. Strong software engineering background — you can write and review production code, understand API design, and hold a high technical bar with your team. Our current stack includes Python 3.11+ with FastAPI, React 18+ with TypeScript, and pydantic.ai for LLM-powered components; we expect this leader to be comfortable working in that stack and to evaluate, evolve, and own those standards going forward. Demonstrated ability to collaborate across organizational boundaries — this role operates in tight partnership with Enterprise Apps, Data, Product Development, and Infosec teams. You have a track record of building shared architectural contracts. Experience evaluating and selecting between build, buy, and assemble options at the layer level — including vendor assessment, total cost of ownership modeling, and the discipline to not over-engineer where mature open-source or commercial components already exist. 7+ years of software engineering experience, with at least 3 years in an engineering leadership role and at least 1 year leading a team building AI or ML infrastructure in a production enterprise environment. Why SentinelOne? AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place. We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family: 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 (hospital, accident, critical illness) 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 This U.S. role has a base pay range that will vary based on the location of the candidate. For some locations, a different pay range may apply. If so, this range will be provided to you during the recruiting process. You can also reach out to the recruiter with any questions. Base Salary Range $198,750—$298,000 USD SentinelOne is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. SentinelOne participates in the E-Verify Program for all U.S. based roles.

Responsibilities

Lead the design and execution of SentinelOne's enterprise AI platform, including the Gateway, Harness, and Semantic layers. Manage the technical roadmap for AI plugin frameworks and lead a team of engineers to scale governed AI activity.