Senior Staff AI Platform Engineer

Details

SentinelOne is seeking a Senior Staff AI Platform Engineer to serve as a hands-on builder of its enterprise AI platform, including the Gateway, Harness, and Semantic Layers that support internal AI use cases. The role involves taking the platform architecture from design into running, production-grade infrastructure while working closely with the Senior Director of Enterprise AI Platform Engineering and the broader platform team.

Responsibilities

• Design, build, and operate AI Gateway components, including centralized identity and authentication/authorization, token budgeting, DLP and content guardrails, multi-model routing and failover, MCP allow-listing, and request-level audit logging.
• Build and maintain Harness components, including agent orchestration with LangGraph or an equivalent framework, prompt construction and context management, memory and state handling across multi-turn interactions, and model abstraction across providers such as AWS Bedrock and Google Vertex.
• Develop and extend production services in Python using FastAPI and pydantic.ai for LLM-powered components.
• Contribute to React and TypeScript surfaces that expose platform capabilities to internal teams.
• Implement MCP and tool wiring for internal and SaaS-embedded agents, ensuring that every caller passes through consistent policy controls.
• Contribute to the Claude and Gemini Enterprise plugin framework by building, testing, and hardening role-based skills and agents.
• Help mature the pipeline for authoring, evaluating, and deploying plugins.
• Instrument the platform with metrics, tracing, and audit trails.
• Participate in on-call and operational support for platform services.
• Write technical documentation and participate in architecture and code reviews, maintaining high standards for quality, security, and maintainability.
• Partner with engineers across Enterprise Data, Enterprise Apps, Product Development, and Infosec to integrate the platform with governed data sources and shared architectural contracts.
• Work with the Senior Director and model evaluation tooling to connect evaluation results with model selection, prompt tuning, and routing decisions.

Requirements

• Hands-on experience building production services used by multiple consumers, such as an API gateway, internal platform, or data platform.
• Experience with authentication and authorization, rate limiting, observability, or audit logging.
• Direct AI and LLM platform experience is a strong plus.
• Practical experience with agent orchestration frameworks such as LangGraph or equivalent.
• Experience calling hosted model providers such as AWS Bedrock or Google Vertex.
• Working understanding of context windows, memory, and tool calling in production environments.
• At least 8 years of professional software engineering experience, including experience building or operating AI and ML infrastructure in production.
• Strong Python skills, ideally with FastAPI, and willingness to work with frameworks such as pydantic.ai.
• Familiarity with React and TypeScript is a plus.
• Exposure to or curiosity about the Model Context Protocol (MCP) and governing tool access for agents operating across enterprise systems.
• Familiarity with enterprise AI deployments such as Claude Enterprise or Gemini Enterprise is a plus.
• Strong software engineering fundamentals, including clean, tested, production-grade code and strong API design skills.
• Ability to give and receive feedback effectively in code and architecture reviews.
• Comfort working in a fast-moving, ambiguous platform environment and turning evolving architecture into reliable infrastructure.

Benefits

• Restricted Stock Units (RSUs)
• Employee Stock Purchase Plan (ESPP)
• Flexible time off
• Paid company holidays and paid sick time
• Gender-neutral parental leave and grandparent leave
• Medical, dental, and vision coverage
• 401(k) retirement plan with company match
• Life and disability insurance
• Health and dependent care FSA
• Voluntary hospital, accident, and critical illness benefits
• Employee Assistance Program (EAP)
• ARAG prepaid legal services
• Nationwide pet insurance
• Cancer Care program
• Global business travel medical insurance
• Home office allowance
• Mobile phone reimbursement
• Wellness coach and wellness/gym reimbursement
• Fertility coverage
• Adoption and surrogacy reimbursement

Compensation

The U.S. base salary range is $184,000–$253,000 per year. The range may vary based on the candidate's location, and a different range may apply in some locations.

SentinelOne is an Equal Employment Opportunity and Affirmative Action employer. SentinelOne participates in the E-Verify Program for all U.S.-based roles.