Senior AI Engineer

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.

Responsibilities:

• 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

Requirements:

• 7+ years of hands-on software engineering experience
• 2+ years specifically in ML/AI engineering
• Proficiency in Python
• TypeScript experience is a plus, especially for production AI system integrations
• Familiarity with vector databases (Pinecone, Chroma, FAISS, etc.) and RAG system design
• Proven experience building and shipping LLM-based applications in production, including embeddings, RAG, agent frameworks, prompt engineering, and evaluation
• Track record of taking AI systems from concept to production, designing scalable, maintainable solutions
• Ability to decompose complex tasks into agentic workflows and reason over high-stakes, structured, and unstructured data
• Experience working cross-functionally with product, compliance, security, engineering teams, and partnering with other application development teams with diverse skill sets
• 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