Note: The job is a remote job and is open to candidates in USA. SentinelOne is a company at the intersection of AI and security, pioneering a new operating model for cybersecurity. As a Senior Staff AI Platform Engineer, you will be tasked with serving as a hands-on builder of SentinelOne's enterprise AI platform, writing production code that governs and scales AI activity across the company.
Responsibilities
- Design, build, and operate components of the AI Gateway 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 pieces of the Harness layer including agent orchestration (LangGraph or equivalent), 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 (FastAPI) and pydantic.ai for LLM-powered components, and contribute to the React/TypeScript surfaces that expose platform capabilities to internal teams
- Implement MCP/tool wiring for internal and SaaS-embedded agents, ensuring every caller regardless of origin passes through the same policy controls
- Contribute to the Claude and Gemini Enterprise plugin framework by building, testing, and hardening role-based skills and agents, and help mature the pipeline for how plugins are authored, evaluated, and deployed
- Instrument the platform for observability including metrics, tracing, and audit trails, and participate in on-call and operational support for platform services
- Write clear technical documentation and participate in architecture and code reviews, holding a high bar 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 Sr. Director and model evaluation tooling to help close the loop between evaluation results and model selection, prompt tuning, and routing decisions
Skills
- Hands-on experience building production services that sit in front of multiple consumers such as an API gateway, internal platform, or data platform, with real exposure to authentication/authorization, rate limiting, observability, or audit logging
- Practical experience with agent orchestration frameworks (LangGraph or equivalent) and calling hosted model providers such as AWS Bedrock or Google Vertex, with a working understanding of how context windows, memory, and tool-calling actually behave in production, not just conceptually
- 8 or more years of professional software engineering experience; with experience building or operating AI and ML infrastructure in a production environment
- Strong Python skills, ideally with FastAPI, and comfort picking up frameworks like pydantic.ai for LLM-powered components
- Solid software engineering fundamentals including clean, tested, production-grade code, strong API design skills, and the ability to give and receive feedback well in code and architecture reviews
- Comfort operating in a fast-moving, still-forming platform environment where you are energized by ambiguity and enjoy turning a rough architecture into working, reliable infrastructure
- Direct AI and LLM platform experience is a strong plus but not required
- Working familiarity with React and TypeScript is a plus
- Exposure to or curiosity about the Model Context Protocol (MCP) and the challenges of governing tool access for agents operating across enterprise systems
- Familiarity with enterprise AI deployments such as Claude Enterprise (Anthropic) or Gemini Enterprise is a plus, including how they are administered and how access and policy controls work
Benefits
- Restricted Stock Units (RSUs)
- Employee Stock Purchase Plan (ESPP)
- Flexible time off
- Paid company holidays and paid sick time
- Gender-neutral parental leave
- Grandparent leave
- 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
- Home office allowance
- Mobile phone reimbursement
- Wellness coach
- Wellness/gym reimbursement
- Fertility coverage
- Adoption & surrogacy reimbursement
Company Overview