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Ai Risk Jobs in Texas (NOW HIRING)

We are currently seeking an experience AI Risk Officer to play a key role within a high-impact technical services team. At Allied Consultants, we value our consultants and are committed to providing ...

We are currently seeking an experience AI Risk Officer to play a key role within a high-impact technical services team. At Allied Consultants, we value our consultants and are committed to providing ...

Senior AI Risk Advisor

Austin, TX · On-site +1

$163.20K - $220.80K/yr

The Senior AI Risk Advisor, under the direction of the Manager of Risk Operations, sits at the intersection of cutting-edge AI technology and enterprise risk - a unique opportunity to shape how one ...

The Opportunity As part of the Cyber, Privacy, Data & AI Risk team you will provide specialist assistance across cybersecurity, privacy, data, and AI risk. As a Senior Manager you will support the ...

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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 Texas? The most popular types of Ai Risk jobs in Texas are:
What cities in Texas are hiring for Ai Risk jobs? Cities in Texas with the most Ai Risk job openings:
Infographic showing various Ai Risk job openings in Texas as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
AI Risk Officer

Other

Medical, Life, Retirement

This job post has expired today. Applications are no longer accepted.


Job description

Overview
Allied Consultants, Inc is a proudly Austin based firm with over 34 years of experience delivering top-tier technical and business professionals within Texas State Agencies. We are currently seeking an experience AI Risk Officer to play a key role within a high-impact technical services team.
At Allied Consultants, we value our consultants and are committed to providing an exceptional experience including:
  • Highly competitive pay rates
  • Local support staff for responsive, personal service
  • Comprehensive benefits package, including:
    • Medical insurance (with employer cost sharing)
    • Life insurance
    • A 401(K) plan with company match
    • Flexible spending through a cafeteria plan

Candidates selected for interviews will be subject to a criminal background check and may be required to pass a drug screening, in compliance with federal and state regulations. All offers of employment are contingent upon successful completion of these checks.
Allied Consultants is a proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Responsibilities
Enterprise-level role responsible for the governance, oversight, and mitigation of risks associated with the design, deployment, procurement, and use of artificial intelligence (AI), machine learning, and advanced analytics across client. This individual ensures that AI-enabled systems used in regulatory, scientific, enforcement, and administrative functions operate in a manner that is lawful, ethical, secure, transparent, and aligned with public-sector values, environmental justice principles, and client's statutory mission. This individual serves as an expert on AI risk and governance, advises agency leadership, and collaborates closely with legal, cybersecurity, data, procurement, and program leadership to enable responsible innovation while safeguarding public trust.
**Location of job: Onsite**
Qualifications
Minimum Requirements:
Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity.
Years
Required/Preferred
Experience
5
Required
Designing, implementing, and maintaining a comprehensive enterprise AI risk management and governance framework. Establishing policies, standards, and approval processes governing AI and advanced analytics use cases.
5
Required
Leading or co-chairing an internal AI Governance Council which reviewed, prioritized, and approved AI initiatives. Ensuring consistent lifecycle oversight for AI systems from concept and procurement through deployment and retirement.
5
Required
Identifying, assessing, monitoring, and mitigating AI-related risks including algorithmic bias, model drift, explainability, data quality issues, cybersecurity vulnerabilities, operational risk, legal exposure and reputational risk.
5
Required
Oversight of AI risk assessments, model impact assessments, and control testing activities. Establishing escalation, incident response, and remediation protocols for AI-related issues.
5
Required
Partnering with Legal, Privacy, Records Management, and Compliance teams to ensure AI systems comply with Texas state laws, federal regulations, public records requirements, privacy protections, and civil rights obligations.
5
Required
Monitoring emerging AI-related laws, regulations, and standards and assess their impact on agency operations. Serve as a senior advisor to executive leadership on AI governance risk and regulatory readiness.
5
Required
Championing ethical AI principles including fairness, accountability, transparency, human oversight, and explainability.
5
Required
Ensuring AI use does not result in unfair or opaque regulatory outcomes, particularly in permitting, inspections, and enforcement.
5
Required
Supporting mechanisms for public transparency and defensibility where AI contributes to regulatory decisions.
5
Required
Collaborating closely with the Information Resources Manager, Deputy Director of Information Resources, Chief Data Officer, Chief Information Security Officer, and program area Directors.
5
Required
Influencing enterprise technology and data strategy by embedding AI risk considerations into planning and investment decisions.
5
Required
Acting as a trusted executive partner balancing innovation enablement with responsible risk management.
5
Preferred
Developing and delivering executive and workforce training on responsible AI use and risk awareness.
5
Preferred
Promoting a culture of ethical, risk-aware innovation across scientific, regulatory, and administrative teams.
5
Preferred
Providing guidance to program teams on acceptable and prohibited uses of AI technologies.