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Ai Risk Manager Jobs in Phoenix, AZ (NOW HIRING)

Varonis

Technical Account Manager

Phoenix, AZ · Remote

$160K - $185K/yr

TAMs are accountable for translating Varonis capabilities into reduced risk, controlled access, and safe AI adoption across customer environments. To be a successful Technical Account Manager you ...

DoorDash

Senior Associate, Risk Intelligence

Tempe, AZ · On-site

The Manager, Physical Security Initiatives will play a key role in designing and delivering this ... Produce AI-enabled intelligence that identifies emerging risks early and drives timely, actionable ...

Boeing

Senior Manager - Privacy Enablement

Mesa, AZ

$161K - $250K/yr

Senior Manager - Privacy Enablement Company: The Boeing Company The Boeing Company seeks a ... AI risk assessments * Knowledge of privacy and AI regulatory, contractual, and compliance ...

Boeing

Senior Manager - Privacy Enablement

Mesa, AZ · On-site

$161K - $250K/yr

Senior Manager - Privacy Enablement Company: The Boeing Company The Boeing Company seeks a ... AI risk assessments * Knowledge of privacy and AI regulatory, contractual, and compliance ...

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Showing results 21-40

All JobsAi Risk JobsAi Risk Manager JobsAi Risk Manager Jobs in Phoenix, AZ

Ai Risk Manager information

See Phoenix, AZ salary details

$51.1K

$110.8K

$168.8K

How much do ai risk manager jobs pay per year?

As of Aug 14, 2026, the average yearly pay for ai risk manager in Phoenix, AZ is $110,765.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,400.00 and $128,100.00 per year, depending on experience, location, and employer.

How much do AI risk managers make?

AI risk managers typically earn between $100,000 and $180,000 annually, depending on experience, education, and location. Senior roles or those in high-demand industries can offer higher salaries, often supplemented with bonuses and benefits. Strong knowledge of AI systems, risk assessment, and compliance are key skills for this role.

What does an AI risk manager do?

An AI risk manager assesses and mitigates potential risks associated with artificial intelligence systems, including ethical, safety, and compliance concerns. They develop strategies to ensure AI models operate reliably and responsibly, often working with data scientists and engineers to implement risk management frameworks and monitor AI performance. Strong analytical skills and knowledge of AI ethics, regulations, and tools are essential for this role.

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.

Is AI going to replace AI Risk Manager jobs?

AI Risk Managers analyze and mitigate risks associated with artificial intelligence systems, a role that requires specialized knowledge of AI technologies, ethics, and compliance. While AI tools can assist in risk assessment, the job involves strategic decision-making and oversight that are unlikely to be fully automated in the near future.

What are popular job titles related to Ai Risk Manager jobs in Phoenix, AZ?

For Ai Risk Manager jobs in Phoenix, AZ, the most frequently searched job titles are:

What job categories do people searching Ai Risk Manager jobs in Phoenix, AZ look for?

The top searched job categories for Ai Risk Manager jobs in Phoenix, AZ are:

What cities near Phoenix, AZ are hiring for Ai Risk Manager jobs?

Cities near Phoenix, AZ with the most Ai Risk Manager job openings:

Ai Risk Manager jobs near you
Infographic showing various Ai Risk Manager job openings in Phoenix, AZ as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $110,765 per year, or $53.3 per hour.

Senior AI Security and Governance Engineer

Viavi Solutions

Chandler, AZ • On-site

$112K - $154K/yr

Full-time

Re-posted 7 days ago

Job description

Summary:
VIAVI (NASDAQ: VIAV) is a global provider of network test, monitoring and assurance solutions for telecommunications, cloud, enterprises, first responders, military, aerospace, and railway. VIAVI is also a leader in light management technologies for 3D sensing, anti-counterfeiting, consumer electronics, industrial, automotive, government and aerospace applications.
We are the people behind the products that help keep the world connected at home, school, work, at play, and everywhere in between. VIAVI employees are passionate about supporting customer success and we welcome people who bring their best every day to the company - to question, to collaborate and to push for solutions that will delight our customers.
Senior AI Security and Governance Engineer
Job Summary:
VIAVI Solutions is seeking a Senior AI Security & Governance Engineer to lead the company's strategy for securing AI technologies across the enterprise. As AI adoption accelerates across VIAVI's products and corporate environments, this role serves as the primary authority on three interconnected pillars: AI compliance and governance, AI security and secure product development, and data security. The engineer will drive discovery and management of AI usage, establish enterprise-wide guardrails, and protect sensitive data across AI workflows from model inputs and outputs to inter-agent communication and third-party integrations.
This role works in close partnership with Engineering, Legal, Privacy, Product, and Risk teams, and reports to the CISO.
Duties & Responsibilities:
Key Responsibilities:
AI Compliance & Governance
  • Define and own VIAVI's enterprise AI governance framework, translating policy into enforceable technical controls aligned with NIST AI RMF, ISO/IEC 42001, and the EU AI Act.
  • Establish and maintain an AI risk tiering and classification system covering data sensitivity, model risk, autonomy level, and business exposure.
  • Collaborate with IT, Procurement, and Legal to operationalize an AI tool approval and onboarding process. Build and operate a continuous AI discovery program to identify unsanctioned AI tools, embedded AI features in approved SaaS applications, and browser-based AI interactions across the enterprise.
  • Build and operate AI intake workflows to evaluate, approve, and track all new AI use cases, tools, models, and integrations before production deployment.
  • Partner with Legal, Privacy, and Compliance teams to define AI exception and waiver processes; support internal audits and regulatory examinations.
  • Stay ahead of emerging AI regulations and industry standards including sector-specific requirements and translate them into actionable policy and controls.

AI Security, Secure Product Development & Operational Safeguards
  • Lead AI-specific threat modeling across the full AI lifecycle covering prompt injection, data leakage, model poisoning, adversarial attacks, tool abuse, privilege escalation, and agentic supply-chain risks.
  • Define and enforce secure AI architecture patterns and prohibited design anti-patterns for LLM-powered applications, autonomous agents, and multi-agent workflows.
  • Partner with product and platform engineering teams to embed security controls natively into AI development pipelines (S-SDLC / Secure AI Development Lifecycle), including secure CI/CD gates, pre-production reviews, and post-deployment monitoring.
  • Design and operationalize runtime protections for AI systems including prompt injection detection, jailbreak protection, output content controls, and abuse detection for high-throughput environments.
  • Define Human-on-the-Loop (HOTL) review checkpoints for autonomous agentic workflows where high-risk decisions require human oversight before execution.

Data Security for AI
  • Design and enforce granular data access controls for AI systems, ensuring least-privilege access to tools, data sources, APIs, and enterprise platforms invoked by AI agents; enforce clear segregation of duties across agent orchestration layers.
  • Implement data usage monitoring across AI workflows to detect unauthorized data access, over-permissioned AI agents, sensitive data exposure in model inputs/outputs, and policy violations in near-real time.
  • Develop and operationalize controls to prevent data exfiltration through AI channels, including prompt-based exfiltration via LLMs, data leakage through RAG retrieval pipelines, and output exfiltration through API integrations and third-party AI services.
  • Establish AI-specific data classification policies and enforce data boundary controls, retention limits, and usage constraints for data ingested by or generated by AI systems.

Pre-Requisites / Skills / Experience Requirements:
Required Qualifications:
  • Minimum of a Bachelor's (Preferred Master's); preferably Computer Science/Computer Engineering or a related field
  • 8-12+ years in security architecture, application security, cloud security, or a closely related field.
  • 3+ years of hands-on experience securing AI/ML or LLM-based systems in enterprise environments, including practical knowledge of prompt injection, data exfiltration through AI APIs, and agentic risk.
  • Demonstrated experience defining and implementing AI governance frameworks (OWASP Top 10 for LLM, NIST AI RMF, ISO/IEC 42001, EU AI Act, or equivalent).
  • Strong background in threat modeling, secure design review, and risk management across complex distributed systems.
  • Hands-on experience with data loss prevention (DLP), CASB, SWG, or equivalent technologies applied to AI and SaaS environments.
  • Experience designing and enforcing granular access control frameworks (RBAC, ABAC) for AI agents, tools, and data pipelines.
  • Strong written and verbal communication skills including executive-level reporting and the ability to translate complex AI risk into business language.
  • Ability to read and review code (Python, JavaScript/TypeScript, or similar) to understand AI workflows, APIs, and failure modes.

If you have what it takes to push boundaries and seize opportunities, apply to join our team today.
VIAVI Solutions is an equal opportunity and affirmative action employer - minorities/females/veterans/persons with disabilities.

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