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Artificial Intelligence Grc Jobs (NOW HIRING)

Samsonite

Director, Artificial Intelligence

Mansfield, MA · On-site

$190K - $210K/yr

Operate the enterprise AI governance framework; ensure compliance with EU AI Act, GDPR, SOX/GRC, and equivalent regional regulations, with support from regional teams. * Maintain audit-ready model ...

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DXC Technology

Cyber GRC Transformation Manager

Ashburn, VA · On-site

$113K - $153K/yr

Instead, you will integrate artificial intelligence into our risk lifecycle-using automation, LLMs ... Pivoting to an AI-First GRC Strategy: Revolutionize traditional compliance by implementing ...

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Artificial Intelligence Grc information

What is the difference between Artificial Intelligence Grc vs Data Analyst?

AspectArtificial Intelligence GrcData Analyst
Required CredentialsAI, GRC, cybersecurity certificationsData analysis, statistics, business intelligence certifications
Work EnvironmentTech-focused, compliance, risk management teamsBusiness units, data teams, consulting firms
Employer & Industry UsageFinancial, healthcare, tech companies with AI & compliance needsMarketing, finance, healthcare, and retail sectors
Common Search & Comparison IntentUnderstanding AI governance & risk management rolesAnalyzing data to inform business decisions

Artificial Intelligence Grc focuses on managing AI-related risks, compliance, and governance within organizations, often requiring expertise in cybersecurity and AI technologies. Data Analysts primarily interpret data to support business insights, requiring strong analytical and statistical skills. While both roles involve data and technology, AI GRC emphasizes risk management in AI systems, whereas Data Analysts focus on data interpretation and reporting.

What are some common challenges faced by professionals in Artificial Intelligence GRC roles?

Professionals working in Artificial Intelligence GRC (Governance, Risk, and Compliance) often face the challenge of keeping pace with rapidly evolving AI technologies and regulatory landscapes. Balancing innovation with compliance, ensuring transparency of AI systems, and managing risks associated with data privacy and ethical use are frequent hurdles. These roles typically require close collaboration with data scientists, legal teams, and executive leadership to develop and implement governance frameworks that align with both business objectives and compliance requirements. Staying proactive and adaptable is essential to navigating the complexities and ambiguities inherent in this field.

What are the key skills and qualifications needed to thrive as an Artificial Intelligence GRC (Governance, Risk, and Compliance) professional, and why are they important?

To thrive as an Artificial Intelligence GRC professional, you need a solid understanding of AI technologies, risk management frameworks, and relevant legal and regulatory standards, often supported by degrees in computer science, law, or information security. Familiarity with tools such as risk assessment software, compliance management platforms, and AI auditing systems is typically required, as well as certifications like CISA or CRISC. Strong analytical thinking, communication, and ethical judgment help professionals navigate complex issues, collaborate with stakeholders, and interpret regulations. These combined skills are crucial to ensure responsible AI deployment, mitigate risks, and maintain organizational compliance in a rapidly evolving landscape.

What is an Artificial Intelligence GRC professional?

An Artificial Intelligence GRC (Governance, Risk, and Compliance) professional is responsible for ensuring that AI systems are developed, deployed, and operated in compliance with relevant regulations, ethical standards, and organizational policies. They assess risks associated with AI, create governance frameworks, and implement controls to manage those risks. Their role also involves monitoring AI systems for compliance with laws and best practices, and facilitating transparency and accountability in AI use within the organization.
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Infographic showing various Artificial Intelligence Grc job openings in the United States as of July 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 50% In-person, and 50% Remote job distribution.
Artificial Intelligence Specialist

Artificial Intelligence Specialist

netPolarity, Inc. (Saicon Consultants, Inc.)

San Jose, CA • On-site

Other

Posted 5 days ago

New

Job description

Requirement Details:


Security Governance, Risk & Compliance (GRC) Analyst

Client: Nutanix

Location: San Jose, CA (Onsite)

Duration: 1 Year Contract

Pay Rate: Market



Job Summary

Nutanix is seeking a Security GRC Analyst to support Governance, Risk & Compliance initiatives, including risk assessments, compliance, audits, third-party risk, security reporting, and AI-driven automation. The role involves working with security, engineering, and business teams to strengthen security programs and modernize GRC processes.


Key Responsibilities

  • Support GRC operations, risk management, compliance, audits, and policy management.
  • Perform security and third-party risk assessments; track remediation activities.
  • Manage compliance programs and respond to customer security questionnaires.
  • Develop AI-powered GRC solutions using LLMs, AI Agents, Python, APIs, and low-code platforms.
  • Automate security questionnaires, risk assessments, evidence collection, control testing, and KPI/KRI reporting.
  • Build AI-driven risk scoring models and ensure AI governance aligns with ISO 42001 and the EU AI Act.
  • Collaborate with Security, Engineering, and Data teams to deliver scalable automation.


Required Qualifications

  • 4+ years of experience in GRC, Information Security, or Risk Management.
  • Experience with ISO 27001, ISO 42001, NIST, CAIQ, SOX, GDPR, EU AI Act, SOC 1 & SOC 2.
  • Knowledge of CISSP security domains, security controls, audits, and risk methodologies.
  • Hands-on experience with Python, APIs, AI/LLM-based workflows, AI Agents, or low-code automation.
  • Strong communication, project management, analytical, and stakeholder management skills.
  • Ability to work independently with global teams and manage multiple priorities.

Apply