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$25K

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How much do senior artificial intelligence policy jobs pay per year?

As of Aug 9, 2026, the average yearly pay for senior artificial intelligence policy in the United States is $80,287.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,500.00 and $103,000.00 per year, depending on experience, location, and employer.

What is the difference between Senior Artificial Intelligence Policy vs Data Privacy Analyst?

AspectSenior Artificial Intelligence PolicyData Privacy Analyst
Required CredentialsAdvanced degrees in AI, policy, or related fields; experience in AI regulationBachelor's or master's in data science, cybersecurity, or law; certifications like CIPP
Work EnvironmentPolicy teams, government agencies, tech companies focusing on AI regulationLegal, compliance, or IT departments within organizations handling data privacy
Employer & Industry UsageTech firms, government agencies, think tanks involved in AI governanceFinancial institutions, healthcare, tech companies managing data privacy

While both roles involve understanding regulations, Senior Artificial Intelligence Policy focuses on AI governance and policy development, whereas Data Privacy Analysts concentrate on data protection compliance. The former emphasizes AI-specific policies, and the latter ensures data privacy laws are followed within organizations.

What are some common challenges faced by senior artificial intelligence policy professionals when aligning organizational goals with evolving regulatory standards?

Senior Artificial Intelligence Policy professionals often navigate the complex task of harmonizing their organization’s AI strategies with rapidly changing local and international regulations. This involves staying current with legal developments, managing compliance risks, and ensuring internal policies are both ethically sound and practically implementable. Collaboration with technical, legal, and executive teams is essential to interpret regulatory language and integrate it into AI product development. These challenges require strong communication skills, adaptability, and a proactive approach to policy monitoring and advocacy.

What are the key skills and qualifications needed to thrive as a senior artificial intelligence policy professional, and why are they important?

To thrive as a Senior Artificial Intelligence Policy professional, you typically need expertise in AI technologies, law or public policy, and a strong educational background such as a master’s or PhD in a relevant field. Familiarity with regulatory frameworks, data privacy laws, and tools like policy analysis software is essential. Outstanding communication, negotiation, and critical thinking skills set top performers apart in this role. These competencies are crucial for shaping responsible AI governance and bridging the gap between technology, law, and societal impacts.

What does a senior artificial intelligence policy professional do?

A Senior Artificial Intelligence (AI) Policy professional is responsible for developing, analyzing, and implementing policies related to the use and governance of AI technologies. They work with government agencies, private organizations, and other stakeholders to ensure that AI systems are used ethically, safely, and in compliance with legal frameworks. Their work often involves staying up-to-date with technological developments, assessing potential risks, and crafting strategies to address societal impacts of AI. Additionally, they may help guide legislative processes, create best practice guidelines, and represent their organization in policy discussions at national and international levels.
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Senior Artificial Intelligence Policy jobs near you
Infographic showing various Senior Artificial Intelligence Policy job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $80,287 per year, or $38.6 per hour.

Senior Artificial Intelligence Security Architect - Remote

Molina Healthcare

Remote

$87K - $189K/yr

Full-time

Re-posted 26 days ago

Molina Healthcare rating

8.0

Company rating: 8.0 out of 10

Based on 198 frontline employees who took The Breakroom Quiz

163rd of 304 rated insurance

Job description


Job Description
Job Summary
Provides senior level support for designing, implementing, and maintaining the security framework for Molina's artificial intelligence and machine learning systems. Serves as the subject matter expert for securing AI/ML workloads operating within Molina's Microsoft Azure and Databricks environments.
Job Duties
  • Designs Secure AI/ML Architectures: Develops and promotes secure, resilient, and scalable architecture patterns for AI/ML solutions built on Microsoft Azure, Databricks, and other platforms.
  • AI/ML Threat Modeling: Conducts comprehensive threat modeling and risk assessments specifically for AI/ML systems, identifying vulnerabilities related to model inversion, data poisoning, adversarial attacks, and prompt injection.
  • Agentic AI Security: Leads the threat modeling, risk assessment, and security control design for autonomous AI agents, focusing on mitigating risks such as prompt injection, tool abuse, and uncontrolled agentic behavior.
  • AI Tools: Establishes and enforces a comprehensive security and governance framework for our AI tools, such as Model Context Protocol (MCP) servers, ensuring the integrity, confidentiality, and availability of contextual data.
  • MLSecOps Integration: Collaborates with our MLOps and Data Science teams to embed automated security controls ("shift-left") into the entire machine learning development lifecycle, from data ingestion to model deployment.
  • Architectural Guidance: Maintains AI Reference Architectures and Guidance and updates the specification and publication of AI Standards and Patterns around AI technology, development, security, privacy, and observability.
  • Strategic Advisory & Business Alignment: Consults on AI capabilities across business and technology platforms, ensuring alignment between AI architecture frameworks and the organization's strategic goals. Offers actionable recommendations on solution design, risk mitigation, and cross-domain impacts.
  • Partner & Collaborate: Partners with solution architects, technology leaders, business, governance, cyber security, compliance, and privacy teams to identify AI risks, documents design decisions, and provides enterprise patterns to resolve issues.
  • Threat Research: Stays current with the latest threats and vulnerabilities targeting AI systems and develops proactive strategies to defend against them. Designs capabilities for AI Governance and Observability.

Job Qualifications
REQUIRED QUALIFICATIONS:
  • At least 5 years of experience in a senior cybersecurity role (e.g., Security Architect, Cloud Security Engineer), or equivalent combination of relevant education and experience.
  • Proven, hands-on experience securing AI/ML workloads and data pipelines within Microsoft Azure and Databricks platforms.
  • Deep understanding of the AI/ML lifecycle and MLOps practices.
  • Strong understanding of network, application, and data security controls in a cloud-native environment.
  • Demonstrated knowledge of the unique security challenges and threat landscape of AI/ML systems.
  • Proficient in Python and familiarity with data science and AI libraries.
  • Excellent communication skills with the ability to articulate complex technical concepts to both technical and non-technical stakeholders.
  • Displays intellectual curiosity, integrity, and is motivated by achieving long-term business outcomes.
  • Ability to work effectively in a team environment and lead cross-functional teams.

PREFERRED QUALIFICATIONS:
  • In-depth understanding of Agentic AI security, including common attack vectors and mitigation techniques.
  • Experience with Model Context Protocol (MCP) and securing the infrastructure that supports it.
  • Familiarity with MLSecOps principles and tools for security testing and automation in for Continuous Integration and Continuous Delivery/Continuous Deployment (CI/CD) pipelines.
  • Professional certifications such as Certified Information Systems Security Professional (CISSP), Certified Cloud Security Professional (CCSP), or Azure Security Engineer Associate/Expert.
  • Exposure to governance and compliance regimes; a good understanding of security and privacy management, and regulatory requirements including Health Insurance Portability and Accountability Act Health Information Technology for Economic and Clinical Health Act (HIPAA HITECH).
  • Experience supporting agile teams by providing guidance on design, opportunities, impact, and risks, taking account of technical and architectural debt.
  • Experience designing Generative AI (GenAI) solutions, with experience in Machine Learning Operations (MLOps), Large Language Models (LLM), OpenAI, CoPilot Studio, Agentic AI frameworks such as Langchain, LangGraph and Agent Development Kit (Google ADK), Data Foundry, and Data Fabric.
  • Ability to balance the long-term (big picture) and short-term implications of individual decisions.

To all current Molina employees: If you are interested in applying for this position, please apply through the Internal Job Board.
Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V.

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About Molina Healthcare

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Molina Healthcare is a nationwide fortune 500 organization with a mission to provide quality healthcare to people receiving government assistance. If you are seeking a meaningful opportunity in a team-oriented environment, come be a part of a highly engaged workforce dedicated to our mission. Bring your passion and talents and together we can make a difference in the lives of others.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Long Beach, CA, US

Year founded

1980

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