

My3Tech
Artificial Intelligence/Machine Learning Engineer Specialist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Artificial Intelligence/Machine Learning Engineer Specialist in Austin, TX, with a contract length of "unknown." The pay rate is "unknown." Key skills include AI risk management, governance, and compliance. Preferred experience in ethical AI practices is beneficial.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
May 24, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Austin, TX
-
🧠 - Skills detailed
#Monitoring #AI (Artificial Intelligence) #Compliance #Deployment #Data Quality #ML (Machine Learning) #Alation #Scala #Security #Data Strategy #Leadership #Cybersecurity #Strategy
Role description
Hi All,
•
•
• Greetings from My3tech
•
•
• Role: Artificial Intelligence/Machine Learning Engineer Specialist
Location: Austin, TX(Onsite)
Client: State of TX
Job Description:
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 TCEQ. 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 TCEQ’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.
Required Skills:
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.
Preferred Skills:
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
Hi All,
•
•
• Greetings from My3tech
•
•
• Role: Artificial Intelligence/Machine Learning Engineer Specialist
Location: Austin, TX(Onsite)
Client: State of TX
Job Description:
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 TCEQ. 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 TCEQ’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.
Required Skills:
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.
Preferred Skills:
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





