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Ai Risk Jobs in Frisco, TX (NOW HIRING)

Cetera

Senior Security Engineer

Dallas, TX · On-site

$113K - $155K/yr

We are seeking an AI Risk and Compliance Engineer to operationalize AI governance controls, manage AI-related third-party and vendor risk, and lead adversarial threat modeling for AI/ML systems using ...

Cetera

Senior Security Engineer

Dallas, TX · On-site

$113K - $155K/yr

We are seeking an AI Risk and Compliance Engineer to operationalize AI governance controls, manage AI-related third-party and vendor risk, and lead adversarial threat modeling for AI/ML systems using ...

Protiviti

Security of AI Associate Director

Dallas, TX · On-site

Lead Security of AI engagements - AI risk assessments, threat modeling for LLM-integrated applications, agentic system security reviews, red team exercises, and governance program design * Shape and ...

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Ai Risk information

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$13

$28

$69

How much do ai risk jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for ai risk in Frisco, TX is $28.39, according to ZipRecruiter salary data. Most workers in this role earn between $18.22 and $36.20 per hour, depending on experience, location, and employer.

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 Frisco, TX?

The most popular types of Ai Risk jobs in Frisco, TX are:

What job categories do people searching Ai Risk jobs in Frisco, TX look for?

The top searched job categories for Ai Risk jobs in Frisco, TX are:

What cities near Frisco, TX are hiring for Ai Risk jobs?

Cities near Frisco, TX with the most Ai Risk job openings:

Ai Risk jobs near you
Infographic showing various Ai Risk job openings in Frisco, TX as of September 2026, with employment types broken down into 1% Internship, 78% Full Time, 18% Part Time, and 3% Contract. Highlights an 68% Physical, 4% Hybrid, and 28% Remote job distribution, with an average salary of $59,057 per year, or $28.4 per hour.

Director, Head of AI Risk Governance

Southlake, TX • On-site

Charles Schwab Inc.
See more jobs at Charles Schwab Inc.external

$121K - $269K/yr

Full-time

Posted 3 days ago

New

Job description

Your Opportunity
Director, Head of AI Risk Governance
At Schwab, you're empowered to make an impact. Here, innovative thinking and creative problem solving help us challenge the status quo and transform the finance industry together.
The Artificial Intelligence (AI) Risk Oversight team, part of Model Risk Oversight within Corporate Risk Management, leads Schwab's enterprise AI risk governance program. The team provides the governance framework, oversight practices, and independent challenge needed to support responsible adoption of generative and agentic AI across the Company, while aligning use cases with internal policy requirements, regulatory expectations, and industry practices.
This role combines technical fluency in the AI lifecycle with enterprise leadership to advance Schwab's AI risk governance operating model, including policies, standards and procedures, inventory strategy, risk assessment, executive reporting, stakeholder engagement, and effective challenge across key business and control functions.
We are looking for a senior leader who can set direction, develop talent, and translate AI risks, regulatory expectations, and business priorities into a practical, scalable oversight program. This role will serve as Director, Head of AI Risk Governance, and will be responsible for:
  • Set the strategic direction and roadmap for the Company's AI risk governance program and lead the AI Risk Oversight team.
  • Serve as the enterprise coordinator and convener for AI risk governance activities, bringing together stakeholders across technology, cyber, risk, compliance, legal and business functions to drive consistent oversight and governance outcomes.
  • Lead interdisciplinary reviews of the Company's generative and agentic AI use cases, in alignment with the established policies and procedures.
  • Apply deep technical expertise across the entire AI lifecycle, including initial intake and assessment, testing, effective challenge, use, control framework and monitoring.
  • Develop executive-ready materials and report on the AI risk governance framework, aggregate and individual AI risks, key metrics, issues and remediation activity, and emerging risk trends.
  • Design and maintain AI risk policies, standards, procedures, program documentation, training, communications, change management routines, and adherence monitoring.
  • Perform any other responsibilities related to model risk governance as needed.

What you have
Required Qualifications
  • Master's degree in a relevant field.
  • Experience in financial services, banking, brokerage, or other highly regulated industry.
  • Extensive experience risk management functions in a complex organization, including building or maturing enterprise governance programs.
  • Experience managing, developing, and prioritizing teams, including setting goals, providing feedback, coaching team members, and managing performance.
  • Strong knowledge of AI techniques, implementation patterns, lifecycle risks, guardrails, governance practices for generative and agentic AI.
  • Demonstrated ability to influence senior leaders and drive outcomes across large, matrixed organizations without direct authority.
  • Exceptional executive communication and stakeholder influence skills, with the ability to translate complex AI risk matters into clear, defensible materials.
  • Recognized for building trusted relationships and collaborating effectively across diverse stakeholder groups.
  • High attention to detail, strong ownership, sound judgment, and commitment to producing accurate, well-supported, and thoughtfully reviewed work products.

Preferred Qualifications
  • Knowledge with AI risk management guidance and frameworks such as FSB's Sound Practices for Responsible Adoption of AI: Consultation report, NIST AI RMF, SR 26-2, FHFA Advisory Bulletin 2022-02, EU AI Act concepts, and other relevant regulatory and industry practices.
  • Experience preparing materials for regulators, internal audit, external audit, risk committees, governance forums, executive leadership, or board-level stakeholders.
  • Experience building governance routines for AI inventories, risk assessments, monitoring plans, control testing, adherence monitoring, reporting, exception management, and issue remediation.

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