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Ai Risk Manager Jobs in Washington (NOW HIRING)

The Senior AI Risk Advisor, under the direction of the Manager of Risk Operations, sits at the intersection of cutting-edge AI technology and enterprise risk - a unique opportunity to shape how one ...

Shape the Firm's AI strategy at the intersection of technology and risk * Dual reporting to CIO and General Counsel-uniquely positioned for impact * Security and innovation treated as mutually ...

This role will ensure alignment with federal AI policy, ethical AI standards, and risk management frameworks. This position plays a critical role in helping organizations deploy AI responsibly ...

Sr. Manager, Tech & Cyber Risk As a Senior Manager of Tech & Cyber Risk within Capital One ... AI & Innovation Governance: Design and implement AI applications, agents, and automation workflows ...

Department of War's (DoW) AI-First strategy introduced in early 2026. The WDP focuses on ... In this role, the Senior Risk Manager integrates structured risk management processes into day-to ...

Advance risk analytics capabilities by developing models, tools, and AI-driven solutions that ... Integrate risk management into business and product development lifecycles by introducing forward ...

Advance risk analytics capabilities by developing models, tools, and AI-driven solutions that ... Integrate risk management into business and product development lifecycles by introducing forward ...

Advance risk analytics capabilities by developing models, tools, and AI-driven solutions that ... Integrate risk management into business and product development lifecycles by introducing forward ...

AI Governance Analyst

Reston, VA

$86.30K - $102.50K/yr

Working knowledge of NIST AI Risk Management Framework to help ensure alignment to leading practice and regulatory requirements * 5+ years of experience in risk management, governance, privacy ...

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Ai Risk Manager information

What is the difference between Ai Risk Manager vs Data Scientist?

AspectAi Risk ManagerData Scientist
Required CredentialsTypically requires a degree in risk management, AI, or related fields; certifications in AI or risk management are commonRequires a degree in computer science, statistics, or related fields; certifications in data analysis or machine learning are common
Work EnvironmentWorks in financial, insurance, or tech industries focusing on AI risk assessment and mitigationWorks across industries analyzing data, building models, and deriving insights
Employer & Industry UsageUsed by organizations managing AI deployment risks, especially in regulated sectorsUsed by companies developing AI solutions, data-driven products, and analytics teams

The main difference is that an Ai Risk Manager focuses on identifying and mitigating risks associated with AI systems, often requiring knowledge of risk management and AI ethics. In contrast, a Data Scientist primarily analyzes data and builds models to extract insights, with less emphasis on risk mitigation. Both roles may overlap in AI projects but serve distinct functions within organizations.

What are popular job titles related to Ai Risk Manager jobs in Washington? For Ai Risk Manager jobs in Washington, the most frequently searched job titles are:
What cities in Washington are hiring for Ai Risk Manager jobs? Cities in Washington with the most Ai Risk Manager job openings:
Infographic showing various Ai Risk Manager job openings in Washington as of May 2026, with employment types broken down into 100% Full Time. Highlights an 83% In-person, and 17% Remote job distribution.
AI Risk Management and TEVV Subject Matter Expert

AI Risk Management and TEVV Subject Matter Expert

Diligent Solutions

Other

Posted 15 days ago


Job description

Title:AI Risk Management and TEVV Subject Matter Expert
Location:Gaithersburg, MD

Position Overview

We are seeking an experienced AI Risk Management and Test, Evaluation, Verification, and Validation (TEVV) Subject Matter Expert (SME) to support the development, implementation, and operationalization of AI risk management frameworks, evaluation methodologies, and governance activities. This role will support AI assurance initiatives, measurement approaches, and the development of guidance and tools aligned with AI risk management best practices.

The ideal candidate will possess deep expertise in AI governance, AI evaluation methodologies, and operational AI risk management practices. Experience supporting Federal Government initiatives, particularly with National Institute of Standards and Technology or similar organizations, is preferred but not required.

Key Responsibilities

  • Support the development and implementation of AI risk management frameworks, methodologies, and governance practices
  • Design and support AI TEVV (Test, Evaluation, Verification, and Validation) strategies and processes
  • Develop guidance, tools, and measurement approaches related to AI assurance and AI system evaluation
  • Conduct assessments of AI systems to evaluate performance, reliability, transparency, and risk considerations
  • Collaborate with technical teams, stakeholders, and leadership to operationalize AI governance and risk management activities
  • Support development of policies, standards, documentation, and best practices related to trustworthy and responsible AI
  • Assist with identifying and mitigating AI-related operational, technical, and governance risks
  • Prepare reports, presentations, and recommendations for stakeholders and leadership