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Chief Ai Officer Jobs (NOW HIRING)

Our buyers are Heads of AI, Chief AI Officers, CTOs, CIOs, and CISOs at companies that have moved past chatbots and need their AI to actually take secure actions across Google, Slack, Salesforce, and ...

$150 - $200/hr

This physician reports directly to the Chief Medical Officer/Chief AI Officer and the Chief Executive Officer, continuing the delivery of advocacy, training, appeal certification and appeal expertise ...

New

$200 - $250/hr

This physician reports directly to the Chief Medical Officer/Chief AI Officer and the Chief Executive Officer, continuing the delivery of advocacy, training, appeal certification and appeal expertise ...

New

This physician reports directly to the Chief Medical Officer/Chief AI Officer and the Chief Executive Officer, continuing the delivery of advocacy, training, appeal certification and appeal expertise ...

New

This physician reports directly to the Chief Medical Officer/Chief AI Officer and the Chief Executive Officer, continuing the delivery of advocacy, training, appeal certification and appeal expertise ...

New

$100 - $125/hr

This physician reports directly to the Chief Medical Officer/Chief AI Officer and the Chief Executive Officer, continuing the delivery of advocacy, training, appeal certification and appeal expertise ...

New

Reach and win buyers at the Chief AI Officer, COO, and CTO level. - Bring the market read back into product - your early conversations will help shape and validate direction. What We're Looking For ...

$100 - $125/hr

This physician reports directly to the Chief Medical Officer/Chief AI Officer and the Chief Executive Officer, continuing the delivery of advocacy, training, appeal certification and appeal expertise ...

New

You will also serve as a key thought partner to our Chief AI Officer, bridging the gap between data science proof-of-concepts and scalable, production-grade services. The ideal candidate blends AI/ML ...

$200 - $250/hr

This physician reports directly to the Chief Medical Officer/Chief AI Officer and the Chief Executive Officer, continuing the delivery of advocacy, training, appeal certification and appeal expertise ...

New

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Chief Ai Officer information

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$41.5K

$151.2K

$269.5K

How much do chief ai officer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for chief ai officer in the United States is $151,203.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $185,000.00 per year, depending on experience, location, and employer.

What is a Chief AI Officer?

A Chief AI Officer (CAIO) is a senior executive responsible for overseeing an organization's artificial intelligence strategy and implementation. This role involves guiding the adoption of AI technologies, ensuring ethical AI use, and aligning AI initiatives with the company's overall business goals. The CAIO collaborates with other leaders to integrate AI into products, services, and operations while managing risks and compliance. They also keep the organization informed about the latest AI advancements and trends to maintain a competitive edge.

How does a Chief AI Officer typically collaborate with other executive leaders to drive AI strategy within an organization?

A Chief AI Officer (CAIO) works closely with other C-suite executives, such as the CTO, CIO, and CEO, to align AI initiatives with the company's overall business goals. The CAIO often leads cross-functional teams, ensuring that AI projects are practical, scalable, and ethically sound. Regular collaboration involves strategic planning sessions, joint evaluation of technology investments, and establishing governance frameworks for responsible AI adoption. This role also requires translating complex AI concepts for non-technical stakeholders, fostering a culture of innovation, and ensuring that the AI roadmap supports both short-term results and long-term growth.

What are the key skills and qualifications needed to thrive as a Chief AI Officer, and why are they important?

To thrive as a Chief AI Officer, you need deep expertise in artificial intelligence, machine learning, data science, and strategic business acumen, typically supported by an advanced degree in a relevant field. Familiarity with AI development frameworks (such as TensorFlow and PyTorch), cloud platforms, and experience with data governance and security are crucial. Exceptional leadership, communication, and change management skills help drive cross-functional collaboration and foster innovation. These competencies ensure successful AI strategy development, ethical implementation, and organizational impact in a rapidly evolving technological landscape.

What is the difference between Chief Ai Officer vs Data Scientist?

AspectChief Ai OfficerData Scientist
Required CredentialsAdvanced degrees in AI, Computer Science, or related fields; leadership experienceDegree in Data Science, Statistics, or related fields; strong technical skills
Work EnvironmentStrategic leadership, cross-departmental collaboration, executive meetingsData analysis, model development, coding, and data visualization
Employer & Industry UsageTech companies, large enterprises implementing AI strategiesResearch institutions, tech firms, finance, healthcare
Search & Comparison IntentUnderstanding leadership roles in AI, strategic responsibilitiesTechnical skills, project work, data analysis tasks

The Chief Ai Officer focuses on strategic AI initiatives and leadership, while Data Scientists handle technical data analysis and model development. Both roles require strong technical backgrounds, but the Chief Ai Officer emphasizes executive decision-making and AI strategy.

How do you become a chief AI officer?

To become a Chief AI Officer, candidates typically need extensive experience in artificial intelligence, machine learning, or data science, often with a background in computer science or related fields. Strong leadership skills, strategic thinking, and knowledge of AI tools and frameworks are essential, along with a track record of managing AI projects and teams. Advanced degrees such as a master's or Ph.D. in a relevant field can also enhance prospects.

How much does a Chief AI Officer make?

A Chief AI Officer typically earns between $150,000 and $300,000 annually, depending on the company's size, industry, and location. Compensation may also include bonuses, stock options, and other benefits, especially in large or tech-focused organizations. Strong expertise in AI, leadership skills, and experience with machine learning tools are often required for this executive role.
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Infographic showing various Chief Ai Officer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 76% Full Time, 19% Part Time, and 4% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $151,203 per year, or $72.7 per hour.

AI GRC Program Manager

Pillsbury Winthrop Shaw Pittman Llp

Nashville, TN • On-site

$124K - $151K/yr

Full-time

Re-posted 2 days ago


Job description

Nashville, TennesseeJob Description

The AI Governance, Risk & Compliance Program Manager leads the development and execution of Pillsbury's AI governance program to support the responsible use of artificial intelligence across the Firm. This role focuses on AI compliance, risk management, policy development, internal governance, vendor oversight, and strategic program coordination to help ensure the Firm's use of AI aligns with legal, regulatory, client, and business expectations.

This position works closely with GRC, IT, Information Security, Privacy, Legal, Chief AI Office, and business stakeholders to establish practical governance structures for third-party AI tools and internal AI systems, including AI-specific requirements that integrate into the Firm's broader vendor risk management process. The Program Manager will help define the Firm's approach to AI risk, interpret evolving requirements, draft and maintain AI-related policies and standards, and support both internal and client-facing governance needs.

KEY RESPONSIBILITIES

AI Governance Program Leadership

  • Lead the day-to-day execution and ongoing maturity of the Firm's AI governance, risk, and compliance program.
  • Help define and operationalize the Firm's governance framework for third-party and internal AI tools.
  • Establish clear processes for AI intake, review, approval, documentation, and oversight.
  • Partner with the Director, GRC, and Chief AI Officer to align AI governance priorities with Firm strategy and risk tolerance.

Policy Development & Interpretation

  • Draft, maintain, and interpret AI-related policies, standards, procedures, and governance guidance for the Firm.
  • Translate evolving legal, regulatory, and client expectations into practical internal requirements and operational controls.
  • Provide policy interpretation and guidance to business and technology stakeholders on the appropriate use of AI-enabled tools.
  • Help ensure AI governance documentation remains current, practical, and aligned with the Firm's broader risk and compliance framework.

Vendor AI Governance

  • Establish and maintain the AI governance framework, review standards, and control expectations used to assess third-party AI vendors.
  • Partner with GRC Analysts responsible for third-party management to integrate AI-specific requirements into the Firm's vendor review process.
  • Provide consultation on higher-risk, complex, or novel AI vendor reviews, including issues related to data use, model behavior, human oversight, and regulatory exposure.
  • Collaborate with Legal, Privacy, Information Security, Chief AI Office, and business stakeholders to define appropriate governance conditions for approved AI-enabled vendors.
  • Help ensure approved AI vendors are subject to clear usage boundaries, documentation standards, and ongoing governance expectations.
Internal AI Governance
  • Lead governance activities for internal AI systems and AI-enabled workflows used by the Firm.
  • Define requirements related to acceptable use, human oversight, output validation, escalation, transparency, and monitoring.
  • Assess internal AI use cases for alignment with Firm policy, client expectations, and applicable legal and regulatory requirements.
  • Ensure governance expectations are clearly documented for approved internal AI use cases, including risk considerations, controls, and oversight requirements.
Regulatory Compliance & Strategic Guidance
  • Monitor and interpret emerging AI laws, regulations, standards, and client requirements across key jurisdictions, including the U.S., UK, and EU.
  • Advise internal stakeholders on the practical implications of AI-related legal and regulatory developments.
  • Support the Firm's efforts to maintain a defensible and scalable AI governance posture across jurisdictions.
  • Identify areas where new or revised internal policy, process, or controls may be needed based on changes in the regulatory landscape.
Client-Facing Governance Support
  • Lead or support responses to client-facing AI questionnaires, outside counsel guidelines, and other AI-related diligence requests.
  • Help ensure the Firm can clearly and consistently articulate its governance approach for AI-related tools and use cases.
  • Coordinate with internal stakeholders to gather, validate, and organize information needed for client and regulatory responses.
Audit Readiness, Controls & Assurance
  • Help design and maintain an auditable AI governance control environment for the Firm.
  • Develop and maintain documentation, evidence, and governance artifacts to support internal audits, client reviews, regulatory inquiries, and potential future external assurance or certification efforts.
  • Lead or support control mapping, gap assessments, remediation tracking, and evidence collection related to AI governance requirements.
  • Partner with cross-functional stakeholders to evaluate the design and effectiveness of AI-related controls and governance processes.
  • Monitor emerging AI assurance frameworks, certification models, and audit expectations to help position the Firm for future external validation if pursued.
Training, Awareness & Cross-Functional Coordination
  • Help develop and deliver training and awareness materials related to responsible AI use.
  • Provide practical, business-oriented guidance to attorneys and business professionals on the appropriate use of AI-enabled tools.
  • Facilitate cross-functional working sessions, governance meetings, and program maturity initiatives.
  • Track and report on key AI governance activities, risks, remediation items, and milestones for leadership.

REQUIRED EDUCATION, KNOWLEDGE & EXPERIENCE

  • Bachelor's degree in Information Systems, Data Science, or related field preferred.
  • 7+ years of experience in governance, risk, compliance, privacy, information security, technology risk, regulatory compliance, or related discipline.
  • Experience leading or managing cross-functional governance or compliance programs in an enterprise or professional services environment.
  • Familiarity with AI governance concepts and risks, including third-party AI vendors, generative AI tools, and internal AI use cases.
  • Familiarity with AI-related regulatory developments in the U.S., UK, and EU.
  • Experience drafting, interpreting, and implementing policies, standards, procedures, or governance frameworks.
  • Experience supporting audits, assessments, control reviews, or compliance readiness activities.
  • Experience working cross-functionally with Legal, IT, Security, Privacy, and business stakeholders.
  • Strong understanding of confidentiality, data protection, and risk management principles.
  • Ability to translate complex legal, regulatory, or technical issues into clear, business-oriented guidance.
  • Strong organizational skills, sound judgment, and attention to detail.

PREFERRED QUALIFICATIONS

  • Experience supporting AI governance, privacy, compliance, or technology risk efforts in a law firm or professional services environment.
  • Experience supporting client-facing questionnaires, outside counsel guidelines, or similar diligence processes.
  • Experience reviewing vendor security documentation, privacy materials, contracts, and product data flows.
  • Knowledge of governance and control frameworks such as ISO 27001, NIST, or related privacy and security standards.
  • Familiarity with emerging AI assurance frameworks, responsible AI control models, or certification approaches.
  • Relevant certifications in compliance, privacy, security, governance, or risk management are a plus.
  • Strong written and verbal communication
  • Strategic thinking and program leadership
  • Governance and compliance mindset
  • Analytical problem-solving
  • Sound judgment and risk balancing
  • Policy drafting and interpretation
  • Ability to manage multiple workstreams simultaneously
  • Cross-functional collaboration and stakeholder management

PHYSICAL REQUIREMENTS

  • Ability to sit and stand for extended periods.
  • Ability to lift up to 15 pounds.

The expected salary range for this position is $125,000 - $135,000. Final compensation will be determined based on several factors, including but not limited to, relevant experience, qualifications, skill set, and geographic location.

Pillsbury Winthrop Shaw Pittman LLP is an Equal Opportunity Employer.

If you require an accommodation in order to apply for a position, please contact us at PillsburyWorkday@pillsburylaw.com.