Drata

Senior AI Engineer, Agent Harness

Hybrid - San Francisco · Senior

Sponsorship not specified$167k-$226kDetected 56 days ago

TypeScriptPythonSnowflakeVector DatabasesRESTMachine LearningLLMsRAGAgentic AICollaborationProblem Solving

About the role

Drata is advancing the frontier of compliance automation by integrating intelligent AI capabilities into its trust platform.
This role focuses on solving complex, real-world problems with agentic AI, LLMs, and intelligent reasoning systems in a compliance and security context.
Automated Reasoning Over Regulations & Evidence

Build Agentic & Intelligent AI Systems
Design and implement LLM-powered systems capable of multi-step reasoning, evidence grounding, and decision support in high-stakes compliance environments
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
Build AI systems that reason over structured and unstructured data to support regulatory interpretation, control validation, and risk assessment
Optimize for latency, cost, reliability, and evaluation in real-world enterprise workloads
Partner with platform, security, product teams, and other application development teams to operationalize AI safely and effectively

Ability to decompose complex tasks into agentic workflows and reason over high-stakes, structured, and unstructured data
Problem Solving: Ability to decompose complex tasks into agentic workflows and reason over high-stakes, structured, and unstructured data

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.
Establish foundational agentic AI capabilities that power multiple present and future product experiences
Set the technical and ethical standard for applying modern AI in regulated, high-stakes environments
Explore how we invest in your Life at Drata https://drata.com/about/life-at-drata?utm_source=chatgpt.com.

A variety of factors are considered when determining someone's leveling and compensation-including a candidate's professional background and experience.
This role will receive a competitive base salary, benefits, and stock, typically in the form of Restricted Stock Units (RSUs).
$166,900 - $225,900.

We provide stock equity to ensure that as the company grows, you share directly in that success.
Equity gives every employee a sense of ownership and the opportunity to celebrate our wins together-because your contributions don't just support our progress; they help drive our collective success.
We want to support you in life's most important moments, so we offer a paid Parental Leave policy, after six months of employment.
Employees also receive access to Kindbody fertility and family-building benefits and dedicated leave specialists who help guide you through the entire process.
Drata offers a flexible vacation policy, paid holidays, and other perks to recharge.

Hear the Voice of the Team https://drata.com/about/life-at-drata: Explore our "Life at Drata" page for employee testimonials on our collaborative and the growth opportunities available.
Experience the Impact https://www.greatplacetowork.com/certified-company/7044563: See why we are consistently recognized on Fortune's Best Workplaces lists.
LinkedIn https://www.linkedin.com/company/drata/posts/?feedView=all - follow us for company updates, employee stories, and career news.
Enable customers to derive accurate, explainable insights from complex compliance and security data
A comprehensive suite of financial benefits, including a 401(k) plan, company-paid life and disability insurance, tax-advantaged spending accounts, and a range of discounted voluntary offerings to help you customize and strengthen your overall financial position.

This listing is sourced directly from Drata's careers page and normalized into a canonical job model.