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Responsible AI Lead

Cayuse Holdings, LLC

Austin, Texas • Today

Full-time

Compensation information provided in the description

Responsible AI Lead

RWE Renewables

Austin, Texas • Today

Full-time

USD 200,000.00 - 240,000.00 per year

Responsible AI Lead

Cayuse Holdings

Austin, Texas • Today

Full-time

Compensation information provided in the description

People AI Enablement Lead

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Full-time

AI Adoption & Change Lead -Remote

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Easy Apply

Contract

Depends on Experience

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AI Engineer Lead

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Remote • 24d ago

Easy Apply

Full-time

70 - 80

AI Solution Consulting Lead

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Applied AI Lead

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AI Ethics & Human Impact Lead

Zscaler

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USD 150,500.00 - 215,000.00 per year

Lead AI Engineer with .NET

EPAM Systems

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Lead, AI Governance

Guild

Remote • Today

Full-time

USD 109,114.00 - 156,510.56 per year

AI/ML Engineering Lead

Protective

Remote or Nebraska • Today

Full-time

USD 124,500.00 - 180,000.00 per year

Lead AI/ML Applied Scientist - Remote

UnitedHealth Group

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Full-time

USD 154,900.00 - 193,600.00 per year

Senior Data Scientist, AI Solutions Engineering - Client Services

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Senior AI Scientist - Computer Vision & Biometrics

ASSA ABLOY

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Full-time

Senior Python Developer

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Austin, Texas • Today

Full-time

USD 135,000.00 - 162,000.00 per year

Senior Data Scientist, AI Solutions Engineering - Client Services

Visa Inc.

Austin, Texas • Today

Full-time

USD 133,300.00 - 213,400.00 per year

Sr Generative AI Scientist II - (Model Risk)

Cotiviti

Remote • Today

Full-time

USD 153,000.00 - 180,000.00 per year

Lead AI/ML Engineer - Remote

UnitedHealth Group

Remote or Eden Prairie, Minnesota • 30+d ago

Full-time

USD 145,500.00 - 249,500.00 per year

Sr Gen AI Engineer

Whiztek Corp

Remote • 5d ago

Easy Apply

Contract, Third Party

Depends on Experience

Senior AI/ML Consultant

ScaleHealthTech LLC

Remote • 6d ago

Easy Apply

Contract

Depends on Experience

Senior AI/ML Applied Scientist - Remote

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 130,000.00 - 162,500.00 per year

Senior AI/ML Applied Scientist - Remote

UnitedHealth Group

Remote or Bellevue, Washington • Today

Full-time

USD 130,000.00 - 162,500.00 per year

Process Reengineering Sr Solution Engineer - Remote

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

Director, Technology

Expedia Group

Austin, Texas • Today

Full-time

USD 231,000.00 - 323,500.00 per year

Sr AI/ML Engineer Remote Nationwide or Office-Based in MN/DC

UnitedHealth Group

Remote or Minnetonka, Minnesota • Today

Full-time

USD 120,100.00 - 214,500.00 per year

Senior Machine Learning Engineer

Odyssey Systems Consulting Group, Ltd.

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Sr. AI/ML Engineer - Remote

UnitedHealth Group

Remote or Richardson, Texas • Today

Full-time

USD 120,100.00 - 214,500.00 per year

Sr Principal AI/ML Engineer: Office-Based preferred, will consider Remote

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 184,600.00 - 316,500.00 per year

Cayuse Holdings, LLC

Job Details

Skills

Innovation
Build Vs Buy
Testing
Accountability
Vendor Management
Risk Assessment
Auditing
Impact Analysis
Inventory
Use Cases
Strategic Leadership
Decision-making
Data Modeling
Privacy
Legal
Fluency
Software Development Methodology
Change Management
Leadership
Management
Machine Learning (ML)
Finance
Health Care
Training
Regulatory Compliance
Thought Leadership
Artificial Intelligence
Data Science
Risk Management
Collaboration
Communication

Innovation
Build Vs Buy
Testing
Accountability
Vendor Management
Risk Assessment
Auditing
Impact Analysis
Inventory
Use Cases
Strategic Leadership
Decision-making
Data Modeling
Privacy
Legal
Fluency
Software Development Methodology
Change Management
Leadership
Management
Machine Learning (ML)
Finance
Health Care
Training
Regulatory Compliance
Thought Leadership
Artificial Intelligence
Data Science
Risk Management
Collaboration
Communication

Summary

Overview

Job Title: Responsible AI Lead
Location: Auston, TX - Hybrid

Job Type: Independent Contract
Start Date: ASAP

Pay Rate: $80-100/hr
Job Summary

The Responsible AI Lead will establish and operationalize the organization's approach to Responsible AI and AI governance across both internally developed and third-party AI solutions. This leader will ensure AI systems are deployed ethically, effectively, and safely by designing and implementing frameworks, processes, and controls to support enterprise adoption and innovation. This role will transform Responsible AI into a driver of business success through proactive risk management and organizational alignment with ethical and regulatory standards.

This role reports to the VP of Data & AI and requires collaboration across multiple business units.

Responsibilities

Key Responsibilities
AI Governance and Risk Management

Develop, implement, and manage the AI governance framework across the entire AI lifecycle, encompassing intake, design, build/buy, testing, deployment, monitoring, and retirement of AI solutions.
Monitor and incorporate evolving laws, regulations, and standards (e.g., EU AI Act, GDPR) into internal policies, controls, and processes.
Define clear ownership, accountability, and decision-making processes for AI adoption across the enterprise.
Embed AI governance into existing operational processes, such as SDLC, vendor management, model validation, privacy, and security reviews, ensuring governance is part of daily activities.
Lead AI risk assessments, audits, and impact analyses to identify, document, and mitigate ethical, regulatory, operational, and reputational risks.
Provide comprehensive visibility into the organization's AI inventory, risk posture, performance, operational stability, and remediation progress, delivering actionable insights to leadership.
Collaborate with cross-functional teams (business, compliance, legal, IT, etc.) to ensure AI solutions are responsibly designed, deployed, and monitored.
Evaluate use cases and AI vendor solutions, offering readiness evaluations and risk acceptance recommendations.

Strategic Leadership and Operationalization

Promote responsible AI adoption by developing standards, guidelines, training programs, and practical tools to support governance implementation.
Translate complex requirements into actionable frameworks and processes to ensure consistent governance and risk management.
Align frameworks and initiatives with business strategies to transform Responsible AI into a competitive advantage.
Provide clear communication and guidance to technical and non-technical stakeholders for effective collaboration and decision-making.

Qualifications

Required Skills and Experience

AI Governance Expertise: Proven experience designing and implementing Responsible AI or data/model governance frameworks, with a strong understanding of risks such as bias, transparency, privacy, model drift, and operational resilience.
Regulatory Knowledge: Familiarity with legal and regulatory frameworks (e.g., GDPR, EU AI Act) and ability to translate them into actionable policies and controls.
Operational Fluency: Experience embedding governance practices into operational routines (e.g., SDLC and change management) for repeatable, scalable execution.
Leadership and Communication: Strong ability to align cross-functional teams, manage complex initiatives, and communicate effectively with technical and business audiences.
Technical Knowledge: Deep familiarity with AI/ML technologies, risk management principles, and assessment methods.

Preferred Qualifications

Experience implementing governance or compliance programs in a highly regulated industry (e.g., finance, healthcare).
Certifications or training in AI ethics, governance, or compliance.
Public thought leadership in Responsible AI.
Master's degree in Data Science, Risk Management, or a related discipline.

Work Environment & Additional Information

Hybrid work model with regular on-site collaboration.
Flexibility for adjusted schedules, overtime, and occasional weekend/evening hours.
Frequent use of computer systems and virtual communication tools.
Professional demeanor required for interactions within and outside the organization.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91099930
Position Id: 2026-4768
Posted 8 hours ago

Company Info

About Cayuse Holdings, LLC

Founded initially in 2006, Cayuse Holdings is today comprised of a family companies headquartered near Pendleton, Oregon, with offices in the Washington D.C. metro area, and Honolulu, HI. Tribally owned by the Confederated Tribes of the Umatilla Indian Reservation (CTUIR), Cayuse Holdings is a 100% Indian Owned Economic Enterprise and a foremost provider of responsible sourcing/certified diversity solutions for commercial, government, and tribal clients.

Our Mission

To become the #1 American Indian-owned commercial, government, and tribal contractor, providing trusted value for our clients, reliable and rewarding careers for our employees and contributing to the growth of the CTUIR.

Our Vision

Grow the Company, Grow the People!

Šapásttawaxt kutkutpama,́ Šapásttawaxt natítayt

Fitment

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Cayuse Holdings, LLC

Job Details

Skills

Innovation
Build Vs Buy
Testing
Accountability
Vendor Management
Risk Assessment
Auditing
Impact Analysis
Inventory
Use Cases
Strategic Leadership
Decision-making
Data Modeling
Privacy
Legal
Fluency
Software Development Methodology
Change Management
Leadership
Management
Machine Learning (ML)
Finance
Health Care
Training
Regulatory Compliance
Thought Leadership
Artificial Intelligence
Data Science
Risk Management
Collaboration
Communication

Innovation
Build Vs Buy
Testing
Accountability
Vendor Management
Risk Assessment
Auditing
Impact Analysis
Inventory
Use Cases
Strategic Leadership
Decision-making
Data Modeling
Privacy
Legal
Fluency
Software Development Methodology
Change Management
Leadership
Management
Machine Learning (ML)
Finance
Health Care
Training
Regulatory Compliance
Thought Leadership
Artificial Intelligence
Data Science
Risk Management
Collaboration
Communication

Summary

Develop, implement, and manage the AI governance framework across the entire AI lifecycle, encompassing intake, design, build/buy, testing, deployment, monitoring, and retirement of AI solutions.
Monitor and incorporate evolving laws, regulations, and standards (e.g., EU AI Act, GDPR) into internal policies, controls, and processes.
Define clear ownership, accountability, and decision-making processes for AI adoption across the enterprise.
Embed AI governance into existing operational processes, such as SDLC, vendor management, model validation, privacy, and security reviews, ensuring governance is part of daily activities.
Lead AI risk assessments, audits, and impact analyses to identify, document, and mitigate ethical, regulatory, operational, and reputational risks.
Provide comprehensive visibility into the organization's AI inventory, risk posture, performance, operational stability, and remediation progress, delivering actionable insights to leadership.
Collaborate with cross-functional teams (business, compliance, legal, IT, etc.) to ensure AI solutions are responsibly designed, deployed, and monitored.
Evaluate use cases and AI vendor solutions, offering readiness evaluations and risk acceptance recommendations.

Strategic Leadership and Operationalization

Promote responsible AI adoption by developing standards, guidelines, training programs, and practical tools to support governance implementation.
Translate complex requirements into actionable frameworks and processes to ensure consistent governance and risk management.
Align frameworks and initiatives with business strategies to transform Responsible AI into a competitive advantage.
Provide clear communication and guidance to technical and non-technical stakeholders for effective collaboration and decision-making.

Qualifications

Required Skills and Experience

AI Governance Expertise: Proven experience designing and implementing Responsible AI or data/model governance frameworks, with a strong understanding of risks such as bias, transparency, privacy, model drift, and operational resilience.
Regulatory Knowledge: Familiarity with legal and regulatory frameworks (e.g., GDPR, EU AI Act) and ability to translate them into actionable policies and controls.
Operational Fluency: Experience embedding governance practices into operational routines (e.g., SDLC and change management) for repeatable, scalable execution.
Leadership and Communication: Strong ability to align cross-functional teams, manage complex initiatives, and communicate effectively with technical and business audiences.
Technical Knowledge: Deep familiarity with AI/ML technologies, risk management principles, and assessment methods.

Preferred Qualifications

Experience implementing governance or compliance programs in a highly regulated industry (e.g., finance, healthcare).
Certifications or training in AI ethics, governance, or compliance.
Public thought leadership in Responsible AI.
Master's degree in Data Science, Risk Management, or a related discipline.

Work Environment & Additional Information

Hybrid work model with regular on-site collaboration.
Flexibility for adjusted schedules, overtime, and occasional weekend/evening hours.
Frequent use of computer systems and virtual communication tools.
Professional demeanor required for interactions within and outside the organization.

Dice Id: 91099930
Position Id: 2026-4768
Posted 8 hours ago

Company Info

About Cayuse Holdings, LLC

Our Mission

Our Vision

Grow the Company, Grow the People!

Šapásttawaxt kutkutpama,́ Šapásttawaxt natítayt

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

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