> Markdown version of [/jobs/ext/2209114-senior-ai-engineer](https://www.wearedevelopers.com/jobs/ext/2209114-senior-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI Engineer - **Company:** Drata Inc - **Location:** San Francisco, CA, United States (Remote available) - **Experience:** Expert - **Salary:** $192,000.0 - $259,800.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Decision Support Systems, Graph Database, Python (Programming Language), Raw Data, Software Engineering, TypeScript, Unstructured Data, User-Centered Design, Enterprise Data Management, Data Processing, Large Language Models, Snowflake, Prompt Engineering, IT Architecture, Virtual Agents, Programming Languages - **Published:** August 24, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/pecgj8030k ## About the Role * 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. ## Description 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. ## Related Videos - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Do TypeScript without TypeScript](https://www.wearedevelopers.com/videos/327-do-typescript-without-typescript) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [AI for Enterprise Developers - Dr. Damir Dobric](https://www.wearedevelopers.com/videos/1831-ai-for-enterprise-developers-dr-damir-dobric) - [Bringing Clarity to Event Streams: Enabling Analytics and AI Through Rich Metadata](https://www.wearedevelopers.com/videos/1616-bringing-clarity-to-event-streams-enabling-analytics-and-ai-through-rich-metadata) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)