Senior AI Engineer

Why Join The Drata Team? The best way to understand the Driver’s Mindset is to see it in action. We’re an award-winning, mission-driven team of 600+ people worldwide , united by a culture that values trust, speed, and continuous growth. Hear the Voice of the Team : Explore our "Life at Drata" page for employee testimonials on our collaborative and the growth opportunities available. Connect with Us on Socials: LinkedIn - follow us for company updates, employee stories, and career news. Job Summary: Drata is advancing the frontier of compliance automation by integrating intelligent AI capabilities into its platform. We are seeking a Senior AI Engineer to help design, 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 compliance and security. What you'll do: Build Agentic & Intelligent AI Systems Design and implement LLM-powered systems capable of multi-step reasoning, evidence grounding, and decision support in high-trust domains. Develop agentic workflows that combine retrieval, tool use, structured reasoning, and human oversight. Create interactive AI experiences that allow users to engage naturally with complex compliance and risk data. Automated Reasoning Over Regulations & Evidence Build AI systems that reason over structured and unstructured data to 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 guardrails into AI systems. Ensure privacy-preserving data handling, robust failure modes, and transparent behavior aligned with Drata’s trust principles. What you'll bring: Experience: 7+ years of hands-on software engineering experience; 2+ years specifically in ML/AI engineering. Programming Languages: Proficiency in Python; TypeScript experience is a plus, especially for production AI system integrations. Retrieval & Vector Stores: Familiarity with vector databases (Pinecone, Chroma, FAISS, etc.) and RAG system design. LLM & AI Systems: Proven experience building and shipping LLM-based applications in production , including embeddings, RAG, agent frameworks, prompt engineering, and evaluation. Production Expertise: Track record of taking AI systems from concept to production , designing scalable, maintainable solutions. Problem Solving: Ability to decompose complex tasks into agentic workflows and reason over high-stakes, structured, and unstructured data. Collaboration: Experience working cross-functionally with product, compliance, security, engineering teams, and partnering with other application development teams with diverse skill sets. Bonus Qualifications: Experience in compliance, security, risk, or audit domains. Familiarity with Snowflake-based analytics, knowledge graphs, or enterprise data platforms. Experience partnering with non-technical stakeholders such as compliance or GRC teams. This role defines how AI is responsibly embedded into a trust-critical enterprise platform. Your work will: Establish foundational agentic AI capabilities that power multiple present and future product experiences. Enable customers to derive accurate, explainable insights from complex compliance and security data. Set the technical and ethical standard for applying modern AI in regulated, high-stakes environments. How we support you: At Drata, our people are our strongest advantage—and we prove it with support that exceeds industry standards. Our total rewards package is designed to power your well-being, accelerate your growth, and keep your work-life balance thriving. Explore how we invest in your Life at Drata . Shared Success : We provide stock equity