← All roles

Staff AI Platform Engineer

SentinelOne· Engineering
Apply on company site
Hybrid (Remote / United States)$156k - $215kFull-timePosted 2mo ago

About the role

Staff AI Platform Engineer responsible for building SentinelOne's enterprise AI platform components (Gateway, Harness, Semantic Layers), writing production code to govern, observe, secure, and scale AI activity, and collaborating across teams to turn architecture into running infrastructure.

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.

Qualifications

  • 5 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; working familiarity with React and TypeScript is a plus.
  • 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; direct AI and LLM platform experience is a strong plus but not required.
  • Practical experience with agent orchestration frameworks (LangGraph or equivalent) and calling hosted model providers such as AWS Bedrock or Google Vertex, with understanding of context windows, memory, and tool-calling in production.
  • 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; knowledge of administration, access and policy controls is a plus.
  • Solid software engineering fundamentals including clean, tested, production-grade code, strong API design skills, and the ability to give and receive feedback in code and architecture reviews.
  • Comfort operating in a fast-moving, still-forming platform environment with ambiguity and ability to turn rough architecture into reliable infrastructure.

Skills

Required:API designPython (FastAPI)LangGraph
Nice to have:pydantic.aiReact/TypeScript

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, vision, 401(k) with company match, life and disability insurance, health and dependent care FSA, voluntary benefits, EAP, legal, pet insurance, cancer care, travel medical insurance
  • Work Perks & Flexibility: Home office allowance, mobile phone reimbursement
  • Wellness & Lifestyle: Wellness coach, gym reimbursement, fertility coverage, adoption & surrogacy reimbursement
Last updated Oct 22, 2026. Interested? Apply on the company site.
SentinelOne logo

About SentinelOne

AI-Powered Enterprise Cybersecurity Platform

SentinelOne unifies AI-powered endpoint, cloud, identity, and data protection—enhanced by our Security Data Lake for seamless and efficient cybersecurity.

CybersecurityAI SecurityEndpoint SecurityCloud SecurityAI-SIEMIdentity SecurityEDRXDR
Company profileWebsite

More open roles at SentinelOne