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This position was posted on April 18, 2026 and is likely no longer accepting applications. We've kept it here for historical reference. Check out the similar jobs below!

DataRobot, Inc. logo

Lead AI Architect - Federal

Job Overview

Location

Washington, DC, US - Remote

Job Type

Full-time

Category

DevOps & SysAdmin

Date Posted

April 18, 2026

Full Job Description

đź“‹ Description

  • • Lead AI Architect for the Federal sector at DataRobot, responsible for positioning, selling, and supporting the DataRobot platform as the gold standard for AI in enterprises, overcoming barriers to delivery in public sector environments.
  • • Day-to-day responsibilities include providing technical expertise for installation, configuration, upgrading, and integration of DataRobot into customer environments; deploying and operating solutions in FedRAMP Authorized, IL5, and IL6 classified environments; managing CVE remediation and patch response; supporting pre-sales activities; and serving as a liaison between Product, Engineering, and Federal business to inform product evolution and maintain Authority to Operate (ATO).
  • • The Professional Services team collaborates with Customer Success, Sales, Product, Engineering, and Marketing to bring the DataRobot platform to clients and prospects in the public sector space, with a focus on federal government agencies.
  • • In this role, you will deepen your expertise in federal infosec requirements, Risk Management Framework, FedRAMP, and Agency authorization processes; gain hands-on experience with Kubernetes, IaC, Linux hardening, and DevSecOps in secure enclaves; and develop strategic communication skills to translate technical risks into actionable insights for technical and executive audiences.

Skills & Technologies

TypeScript
AWS
Kubernetes
Terraform
GitLab
Senior
Remote
Degree Required

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DataRobot, Inc. logo
DataRobot, Inc.
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About DataRobot, Inc.

DataRobot provides an enterprise AI platform that automates the end-to-end process for building, deploying, and managing machine-learning models at scale. Founded in 2012, the company serves industries including finance, healthcare, retail, and manufacturing, enabling data scientists and business analysts to create predictive analytics without deep coding expertise. The platform integrates with existing data infrastructure, offers governance and monitoring tools, and supports on-premise, cloud, and hybrid deployments. DataRobot emphasizes responsible AI practices and model interpretability to help organizations operationalize artificial intelligence while maintaining compliance and transparency.

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