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Ai Risk Jobs in Arizona (NOW HIRING)

Technical Account Manager

Phoenix, AZ ยท 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 ...

LOB Risk Lead

Phoenix, AZ ยท On-site

$125 - $150/hr

ITIL, Tech Risk (ISACA), Cyber Security, AI. The LOB Risk Lead will be a senior role on the Technology Change Management team, expected to use subject matter expertise to drive adherence to ...

Utilize approved AI tools, analytics platforms, and digital solutions responsibly, validating outputs and ensuring compliance with governance, privacy, and risk management standards. * Maintain ...

Showing results 21-40

Ai Risk information

What is the difference between Ai Risk vs Data Scientist?

AspectAi RiskData Scientist
Required CredentialsBackground in AI, risk management, certifications in AI safetyDegree in Computer Science, Statistics, or related fields; certifications in data analysis
Work EnvironmentRisk assessment teams, AI development projects, regulatory settingsData analysis teams, research labs, tech companies
Employer & Industry UsageTech firms, AI safety organizations, regulatory agenciesTech companies, finance, healthcare, research institutions
Common Search & Comparison IntentUnderstanding AI risk roles, career differencesData analysis careers, AI safety roles

Ai Risk professionals focus on identifying and mitigating risks associated with artificial intelligence systems, often working in safety, ethics, and regulatory contexts. Data Scientists analyze large datasets to extract insights, build models, and support decision-making across various industries. While both roles require technical skills, Ai Risk emphasizes safety and ethical considerations, whereas Data Scientists focus on data analysis and modeling.

What are the most commonly searched types of Ai Risk jobs in Arizona?

The most popular types of Ai Risk jobs in Arizona are:

What are popular job titles related to Ai Risk jobs in Arizona?

For Ai Risk jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Ai Risk jobs in Arizona look for?

The top searched job categories for Ai Risk jobs in Arizona are:

What cities in Arizona are hiring for Ai Risk jobs?

Cities in Arizona with the most Ai Risk job openings:

Infographic showing various Ai Risk job openings in Arizona as of September 2026, with employment types broken down into 1% Internship, 74% Full Time, 20% Part Time, 4% Contract, and 1% Nights. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Senior AI Security and Governance Engineer

Chandler, AZ โ€ข On-site, Remote

Viavi Solutions
Telecommunicationsย โ€ขย 1 - 5K employees

$112K - $154K/yr

Full-time

Re-posted 2 days ago


Key responsibilities

  • Define and own VIAVI's enterprise AI governance framework, translating policy into technical controls.

  • Lead AI threat modeling and enforce secure AI architecture patterns across AI systems and workflows.

  • Design and implement data security measures, including access controls and monitoring, for AI data and processes.


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.