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