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Job description
Drata's AI Platform team builds the production infrastructure that powers AI features across our compliance platform. The team owns the systems that sit between our AI models and our customers, including tool definitions, deployment pipelines, and orchestration layers.
Design and build MCP servers, agent orchestration and workflow infrastructure, LLM operations and model lifecycle management, production AI infrastructure and RAG systems, and platform enablement and developer experience.
The ideal candidate has 7+ years of software engineering experience, with 2+ years building or operating AI/ML infrastructure in production. They are strong in Python, with TypeScript/Node.js a nice-to-have, and have experience with LLM APIs, vector databases, or AI orchestration platforms.
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Company
Tech, Software & IT Services • Corporate Services
Drata is a leading provider of an AI-powered trust management platform designed to streamline compliance and security for rapidly scaling businesses. The company’s platform automates the continuous monitoring and interpretation of controls, risks, and assurance signals across key compliance frameworks including SOC 2, ISO 27001, HIPAA, and PCI DSS, enabling always-on audit readiness and reducing manual operational overhead. Serving over 8,000 organizations, Drata unifies governance, risk, and compliance (GRC) to accelerate security reviews, improve visibility into both internal and third-party risk, and foster confidence for businesses and their partners. Drata offers a compelling opportunity for professionals seeking to contribute to a cutting-edge solution in the high-growth cybersecurity and compliance space.