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NEXTMOVEFDE careers · United States

Senior AI Engineer

Technologies

Python · TypeScript · LLM · RAG · vector databases · Pinecone · Chroma · FAISS · Snowflake · knowledge graphs

About Drata

Agentic trust management platform that helps companies automate compliance, manage internal and third-party risk, and prove security posture through trust centers and AI-assisted workflows.

Series C · 500–1000 people

Job description

The full responsibilities and requirements are on the employer’s site.

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Source and classification

Internal deployment & tooling · Evidence for this classification:

build, and scale robust, high-impact AI systems that improve operational efficiency, enhance decision-making, and support trust-critical enterprise workflows. This role focuses on solving complex, real-world problems with agentic AI, LLMs, and intelligent reasoning systems, including automating questionnaire answering and other compliance-related workflows. You will work on creating generalizable AI solutions that can be applied across multiple products and domains, collaborating with cross-functional teams to bring cutting-edge research into production-ready systems. As a Senior AI Engineer, you will own the end-to-end design, implementation, and evolution of AI-driven systems embedded directly into Drata’s core platform. Your work will focus on building generalizable, reusable AI capabilities rather than one-off features, enabling multiple product surfaces and workflows across
More from the job description

Drata is building the trust layer between great companies - automating compliance, managing risk, and helping organizations prove trust continuously as they scale. We're Dratanauts: a global crew of 600+ professionals united by a culture that rewards integrity, ownership, and raising the bar, no matter where in the world we're working from. Why Join the Drata Team? At Drata, you're not maintaining legacy compliance software - you're building the agentic AI platform defining what trust looks like for the next generation of companies. Here's what makes the work itself worth showing up for: Problems without a playbook: You'll work at the edge of AI and security, building agentic governance, continuous compliance, and real-time trust verification to solve problems that don't have an established answer yet. You're writing it as you go. Real ownership, not just process: Our values center on owning outcomes and raising the bar, not checking boxes. You're expected to have opinions and back them. A seat at the table: Your perspective is unique and valued. Open debate and diverse viewpoints are built into how decisions actually get made here, at every level. Growth at rocketship speed: Drata is scaling fast, which means scope grows fast too. High performers get more ownership, visibility, and experience. A crew, not just coworkers: Dratanauts consistently describe a "come as you a [... source excerpt omitted ...] solving complex, real-world problems with agentic AI, LLMs, and intelligent reasoning systems, including automating questionnaire answering and other compliance-related workflows. You will work on creating generalizable AI solutions that can be applied across multiple products and domains, collaborating with cross-functional teams to bring cutting-edge research into production-ready systems. As a Senior AI Engineer, you will own the end-to-end design, implementation, and evolution of AI-driven systems embedded directly into Drata’s core platform. Your work will focus on building generalizable, reusable AI capabilities rather than one-off features, enabling multiple product surfa [... source excerpt omitted ...] support regulatory interpretation, control alignment, and evidence validation. Ensure AI outputs are traceable, explainable, and auditable, meeting the expectations of enterprise customers and auditors. Production-Grade AI Architecture Architect and deploy scalable LLM + retrieval + agent systems in production environments. Optimize for latency, cost, reliability, and evaluation in real-world enterprise workloads. Partner with platform, security, product teams, and other application development teams with diverse skill sets to operationalize AI safely and effectively. Responsible & Trustworthy AI Embed human-in-the-loop workflows, confidence thresholds, and safety guardrai

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