JobMatcherSentinelOne is at the intersection of AI and security, delivering an AI-native platform that unifies protection across endpoints, cloud, identity, data, and AI systems to enable autonomous detection and response. The Staff AI Platform Engineer will be a hands-on builder of SentinelOne's enterprise AI platform, responsible for the Gateway, Harness, and semantic layers that support internal AI use cases. You will write production code that governs, observes, secures, and scales AI activity across the company, working closely with the Sr. Director of Enterprise AI Platform Engineering and the platform team to translate architecture into running infrastructure.
SentinelOne is at the intersection of AI and security, delivering an AI-native platform that unifies protection across endpoints, cloud, identity, data, and AI systems to enable autonomous detection and response. The Staff AI Platform Engineer will be a hands-on builder of SentinelOne's enterprise AI platform, responsible for the Gateway, Harness, and semantic layers that support internal AI use cases. You will write production code that governs, observes, secures, and scales AI activity across the company, working closely with the Sr. Director of Enterprise AI Platform Engineering and the platform team to translate architecture into running infrastructure.
What you will do: - Design, build, and operate components of the AI Gateway including centralized identity and authentication/authorization, token budgeting, data loss prevention (DLP) and content guardrails, multi-model routing and failover, MCP allow-listing, and per-request audit logging. - Build and maintain 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 passes through the same policy controls. - Contribute to the Claude a
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What you will do: - Design, build, and operate components of the AI Gateway including centralized identity and authentication/authorization, token budgeting, data loss prevention (DLP) and content guardrails, multi-model routing and failover, MCP allow-listing, and per-request audit logging. - Build and maintain 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 passes through the same policy controls. - Contribute to the Claude a
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Based on: Staff AI Platform Engineer
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