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Ai Risk Management Framework Jobs (NOW HIRING)

LPL Financial

AVP, AI Risk and Governance

San Diego, CA · On-site +1

$117K - $195K/yr

This role involves managing and establishing AI governance frameworks, performing risk assessments, and ensuring compliance with regulatory requirements. With a strong analytical background, the AVP ...

LPL Financial

AVP, AI Risk and Governance

Arlington, VA · On-site

$117K - $195K/yr

This role involves managing and establishing AI governance frameworks, performing risk assessments, and ensuring compliance with regulatory requirements. With a strong analytical background, the AVP ...

LPL Financial

AVP, AI Risk and Governance

Arlington, VA · On-site +1

$117K - $195K/yr

This role involves managing and establishing AI governance frameworks, performing risk assessments, and ensuring compliance with regulatory requirements. With a strong analytical background, the AVP ...

LPL Financial

AVP, AI Risk and Governance

Fort Mill, SC · On-site +1

$117K - $195K/yr

This role involves managing and establishing AI governance frameworks, performing risk assessments, and ensuring compliance with regulatory requirements. With a strong analytical background, the AVP ...

MX Technologies, Inc.

Enterprise Risk Manager

Lehi, UT · On-site

Familiarity with AI governance frameworks such as the NIST AI Risk Management Framework (AI RMF) or ISO/IEC 42001. * Experience assessing third-party/vendor risk, including AI vendors and cloud ...

Whoop

AI Risk & Compliance Analyst

Boston, MA · On-site

Develop, maintain, and refine AI risk and compliance controls aligned with relevant frameworks, including ISO/IEC 42001, NIST Cybersecurity Framework, NIST AI Risk Management Framework, EU AI Act ...

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Ai Risk Management Framework information

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How much do ai risk management framework jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for ai risk management framework in the United States is $30.34, according to ZipRecruiter salary data. Most workers in this role earn between $19.47 and $38.70 per hour, depending on experience, location, and employer.

What is an AI Risk Management Framework?

An AI Risk Management Framework is a structured approach for identifying, assessing, and mitigating risks associated with the design, development, deployment, and use of artificial intelligence systems. It provides guidelines and best practices to ensure AI systems are trustworthy, ethical, and aligned with legal and societal expectations. Organizations use these frameworks to address potential challenges such as bias, security vulnerabilities, privacy concerns, and unintended consequences. By implementing an AI risk management framework, companies can better manage risks and improve transparency and accountability in their AI initiatives.

What are some common challenges encountered when implementing an AI Risk Management Framework in an organization?

Implementing an AI Risk Management Framework often involves navigating challenges such as aligning diverse stakeholder expectations, integrating risk assessments into existing workflows, and ensuring compliance with rapidly evolving regulations. Team members may need to bridge knowledge gaps between technical AI development and risk management practices, which requires effective communication and training. Additionally, organizations must continuously update their frameworks to address new AI risks, making adaptability and ongoing learning essential for success in this role.

What are the key skills and qualifications needed to thrive as an AI Risk Management Framework specialist, and why are they important?

To thrive as an AI Risk Management Framework Specialist, you need expertise in risk assessment, AI/ML systems, and regulatory compliance, typically supported by a degree in computer science, data science, or a related field. Familiarity with frameworks like NIST AI RMF, risk management tools, and governance platforms is often required, as well as relevant certifications such as CRISC or CISSP. Strong analytical thinking, attention to detail, and clear communication skills help professionals navigate complex technical and ethical challenges. These skills ensure the safe, ethical, and compliant deployment of AI systems within organizations.

What is the difference between Ai Risk Management Framework vs Data Scientist?

AspectAi Risk Management FrameworkData Scientist
Primary FocusIdentifying and mitigating AI-related risks, ensuring ethical and safe AI deploymentAnalyzing data to extract insights, build models, and support decision-making
Required CredentialsKnowledge of AI ethics, risk assessment, and relevant certificationsDegree in data science, statistics, or related fields; programming skills
Work EnvironmentCorporate, tech companies, industries deploying AI systemsResearch labs, tech firms, finance, healthcare

The Ai Risk Management Framework focuses on managing risks associated with AI systems, ensuring safety and compliance. In contrast, Data Scientists primarily analyze data to develop models and generate insights. While both roles require technical skills, their core objectives differ: risk mitigation versus data analysis.

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Ai Risk Management Framework jobs near you
Infographic showing various Ai Risk Management Framework job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $63,100 per year, or $30.3 per hour.

AVP, AI Risk and Governance

Arlington, VA • On-site

LPL Financial LLC
Finance and Insurance • 1 - 5K employees
Learn more about LPL Financial LLCexternal

$117K - $195K/yr

Other

Medical, Retirement, PTO

Re-posted 12 days ago

LPL Financial rating

7.2

Company rating: 7.2 out of 10

Based on 74 frontline employees who took The Breakroom Quiz

Job description

Job Overview

At LPL Financial, we are seeking a dynamic and highly analytical Assistant Vice President (AVP) to join our Artificial Intelligence (AI) Risk and Governance team. The AVP plays a key role in the enterprise AI governance program, accountable for assessing and overseeing AI risk across LPL’s business functions, maintaining a robust governance framework, and collaborating across functions to enable responsible AI adoption at pace.

Responsibilities
  • Support maintaining and evolving the AI governance framework, policies, and standards in alignment with current and emerging regulatory landscape and frameworks.
  • Conduct risk assessments and gap analyses on AI solutions to identify and evaluate risks and ensure compliance with internal policies and external regulations.
  • Evaluate AI governance practices such as bias mitigation techniques and explainability methodologies.
  • Define and challenge control expectations for AI development and deployment, including cybersecurity and broader technology governance processes.
  • Assist in establishing and overseeing AI risk governance frameworks, including control frameworks, governance standards, policy development, and committee management.
  • Collaborate with cross‑functional teams to ensure AI models align with AI risk frameworks and requirements.
  • Ensure adherence to industry best practices, such as the NIST AI Risk Management Framework, ISO AI standards, and emerging AI regulations.
  • Produce and support the production of materials for executive‑level risk and governance committees.
  • Coordinate across risk and business stakeholders to ensure framework consistency.
  • Support the creation of AI‑related training, communications, and awareness campaigns.
  • Adapt to the evolving needs of business partners and changes within the Risk & Compliance organization.
Qualifications & Requirements
  • Bachelor’s degree in computer science, engineering, risk management, economics, finance, or a related discipline.
  • 5‑8+ years in risk management or compliance‑related roles within financial services.
  • Experience with AI Risk and Governance frameworks.
Core Competencies
  • Strong analytical skills, both quantitative and qualitative, with high attention to detail and accuracy.
  • Advanced understanding of AI technologies, models, and operational risks in the use of AI systems.
  • Excellent written and verbal communication skills, with experience preparing executive‑level presentations.
  • Strong problem‑solving skills with the ability to evaluate business opportunities and results against established objectives.
  • Ability to drive change and facilitate critical thinking to create solutions for complex business challenges.
  • In‑depth knowledge of AI‑related regulations, standards, and industry best practices, such as the NIST AI Risk Management Framework and ISO AI standards.
Preferred Certifications
  • Certified Information Systems Security Professional (CISSP).
  • Certified Risk Management Professional (CRMP).
  • Other similar certifications.
Compensation

Pay Range: $117,214.00 – $195,288.00. The actual base salary varies based on relevant skill, prior experience, education, internal peer comparison, performance, and geographic location. LPL Total Rewards includes 401(k) matching, health benefits, employee stock options, paid time off, volunteer time off, and more.

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