Staff AI Platform Engineer
SentinelOne3 months ago
Base Salary
$156k - $215k/yr
Responsibilities
- Design, build, and operate AI Gateway components covering identity, authorization, token budgets, DLP, content guardrails, model routing, MCP allow-listing, and audit logging.
- Build Harness capabilities for agent orchestration, prompt and context construction, memory and state management, and model abstraction across providers.
- Develop production LLM-powered services in Python, FastAPI, and pydantic.ai, and contribute to React and TypeScript platform surfaces.
- Implement MCP and tool integrations for internal and SaaS-embedded agents under shared policy controls.
- Build, test, and harden Claude and Gemini Enterprise plugins, including their authoring, evaluation, and deployment pipeline.
- Instrument platform services with metrics, tracing, and audit trails; participate in on-call and operational support.
- Document technical designs, participate in architecture and code reviews, and maintain high standards for quality, security, and maintainability.
- Partner with Enterprise Data, Enterprise Apps, Product Development, and Infosec on governed data integrations and architectural contracts.
- Use model evaluation results to inform model selection, prompt tuning, and routing decisions.
Requirements
- At least 5 years of professional software engineering experience, including experience building or operating AI and ML infrastructure in production.
- Hands-on experience building production services for multiple consumers, such as API gateways, internal platforms, or data platforms, with exposure to authentication, authorization, rate limiting, observability, or audit logging.
- Practical experience with agent orchestration frameworks such as LangGraph and hosted model providers such as AWS Bedrock or Google Vertex.
- Strong Python skills, ideally with FastAPI, and willingness to work with pydantic.ai; familiarity with React and TypeScript is a plus.
- Working understanding of context windows, memory, and tool calling in production systems.
- Exposure to or curiosity about the Model Context Protocol and governing agent tool access across enterprise systems.
- Familiarity with enterprise AI deployments such as Claude Enterprise or Gemini Enterprise is a plus.
- Strong software engineering fundamentals, including production-grade code, API design, testing, and architecture and code reviews.
- Ability to operate effectively in an ambiguous, fast-moving platform environment.
Benefits
- Restricted Stock Units and an Employee Stock Purchase Plan.
- Flexible time off, paid company holidays, paid sick time, gender-neutral parental leave, and grandparent leave.
- Medical, dental, and vision coverage; 401(k) with company match; life and disability insurance; FSAs; and voluntary insurance benefits.
- Employee Assistance Program, prepaid legal services, pet insurance, Cancer Care program, and global business travel medical insurance.
- Home office allowance and mobile phone reimbursement.
- Wellness coach, gym or wellness reimbursement, fertility coverage, and adoption and surrogacy reimbursement.
Tech Stack
Categories
About SentinelOne
SentinelOne builds an AI-driven cybersecurity platform that provides endpoint protection, detection and response, XDR, cloud, and identity security for enterprises. Its Singularity platform is sold as subscription software and managed services to secure laptops, servers, containers, and cloud workloads with automated detection and remediation. Founded in 2013 and headquartered in Mountain View, California, SentinelOne is a public company listed on the NYSE following its 2021 IPO.