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Lead Responsible Ai Jobs (NOW HIRING)

Accenture

Responsible AI Specialist

Manhattan, NY · On-site

$66.30 - $205.80/hr

Shape and lead client projects for Responsible / Ethical AI with a focus on policy, standards and regulatory advisory, operating model, governance structures and controls. * Act as subject matter ...

Accenture

Responsible AI Specialist

Manhattan, NY · On-site

Accenture's Global Responsible AI team within the Global Data & AI Practice. AI is becoming more ... Ability to lead project workstreams to completion * Ability to manage resources in a matrix ...

Hobbsnews

Responsible AI Manager

Mountain View, CA · On-site

$214.01 - $261.56/hr

Responsible AI Manager (Accenture LLP; Mountain View, CA): Accenture LLP has multiple openings for ... Lead and oversee the full lifecycle of advanced AI research projects, including analyzing complex ...

Accenture

Responsible AI Manager

Mountain View, CA · On-site

$237K/yr

Responsible AI Manager (Accenture LLP; Mountain View, CA): Accenture LLP has multiple openings for ... Lead and oversee the full lifecycle of advanced AI research projects, including analyzing complex ...

York Risk Services

VP Responsible AI

Los Angeles, CA

Establish and maintain Sedgwick's Responsible AI framework using industry standards, regulations ... Lead the transformation from committee-driven approvals to policy-driven governance with automated ...

York Risk Services

VP Responsible AI

North East, PA

Establish and maintain Sedgwick's Responsible AI framework using industry standards, regulations ... Lead the transformation from committee-driven approvals to policy-driven governance with automated ...

York Risk Services

VP Responsible AI

Minto, AK · On-site

Establish and maintain Sedgwick's Responsible AI framework using industry standards, regulations ... Lead the transformation from committee-driven approvals to policy-driven governance with automated ...

Sedgwick

VP Responsible AI

Minto, AK · On-site

Establish and maintain Sedgwick's Responsible AI framework using industry standards, regulations ... Lead the transformation from committee-driven approvals to policy-driven governance with automated ...

Sedgwick

VP Responsible AI

North East, PA · On-site

Establish and maintain Sedgwick's Responsible AI framework using industry standards, regulations ... Lead the transformation from committee-driven approvals to policy-driven governance with automated ...

Sedgwick Claims Management Services Ltd

WI · On-site

$180 - $230/hr

## VP Responsible AIApplylocations: Telecommuter TX: Telecommuter ID: Telecommuter AR: Telecommuter ... Lead management of AI incidents, exceptions, waivers, and remediation programs.* Develop governance ...

Sedgwick

VP Responsible AI

Los Angeles, CA · On-site

Establish and maintain Sedgwick's Responsible AI framework using industry standards, regulations ... Lead the transformation from committee-driven approvals to policy-driven governance with automated ...

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Lead Responsible Ai information

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$30K

$156.3K

$206K

How much do lead responsible ai jobs pay per year?

As of Aug 26, 2026, the average yearly pay for lead responsible ai in the United States is $156,348.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,000.00 and $205,000.00 per year, depending on experience, location, and employer.

What is a lead responsible AI?

Lead Responsible AI roles focus on ensuring that artificial intelligence systems are developed, deployed, and maintained in a manner that aligns with ethical, legal, and societal standards. Professionals in these positions oversee the creation and implementation of AI governance frameworks, risk assessments, and ethical guidelines. They collaborate with cross-functional teams to ensure transparency, fairness, and accountability in AI solutions while mitigating potential biases and unintended consequences. Their work is critical for organizations aiming to build trust and comply with evolving AI regulations.

How does a lead responsible AI typically collaborate with cross-functional teams in an organization?

A Lead Responsible AI professional works closely with data scientists, engineers, legal teams, product managers, and ethicists to ensure AI systems are designed and deployed ethically and responsibly. They facilitate regular meetings to align technical development with organizational values and compliance standards, and often lead workshops or review sessions to assess potential risks. Effective communication and negotiation skills are essential since they must balance technical feasibility with ethical considerations and regulatory requirements. This collaborative approach fosters transparency and builds trust in AI initiatives across the organization.

What are the key skills and qualifications needed to thrive as a lead responsible AI, and why are they important?

To thrive as a Lead Responsible AI, you need deep expertise in artificial intelligence, ethics, data science, and regulatory frameworks, often supported by advanced degrees in computer science or related fields. Familiarity with machine learning platforms, AI governance tools, and certifications like ISO/IEC 27001 or Responsible AI certifications is highly valuable. Strong leadership, stakeholder management, and effective communication skills set top candidates apart in guiding cross-functional teams and aligning AI initiatives with ethical standards. These skills are crucial to ensure the development and deployment of fair, transparent, and accountable AI systems that meet organizational goals and regulatory requirements.
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Lead Responsible Ai jobs near you
Infographic showing various Lead Responsible Ai job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, 2% Contract, and 1% Nights. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $156,348 per year, or $75.2 per hour.

AI Safety & Responsible AI Lead (Responsible AI | AI Governance | Model Risk | Ethical AI)

Jersey City, NJ • On-site

Niche IT Software Solutions LLC
See more jobs at Niche IT Software Solutions LLCexternal

Other

Posted 27 days ago

Job description

AI Safety & Responsible AI Lead

Responsible AI | AI Governance | Model Risk | Ethical AI
Level: Governance Lead / Senior Manager / Director-Level Specialist

Role Overview

We are seeking an AI Safety & Responsible AI Lead to define and implement practical governance across enterprise AI platforms and citizen-development initiatives. This role ensures AI systems are safe, fair, explainable, transparent, compliant and continuously monitored.

Key Responsibilities
  • Define Responsible AI policies, risk taxonomies, control frameworks and governance operating models.
  • Establish processes for AI use-case intake, risk assessment, approvals, production readiness, monitoring and issue escalation.
  • Develop evaluation frameworks covering fairness, bias, explainability, privacy, robustness, hallucinations, harmful outputs and human oversight.
  • Define guardrails for LLMs, RAG systems, agentic workflows and high-risk banking use cases such as KYC, credit underwriting, financial crime and sanctions screening.
  • Govern citizen-development solutions built using Power Platform, Copilot Studio, Power Apps, Power Automate and Power BI.
  • Lead AI impact assessments, control reviews, remediation planning and incident-escalation processes.
  • Establish metrics for bias, safety violations, hallucinations, behaviour drift and user feedback.
  • Partner with legal, compliance, model risk, cybersecurity, audit, data, product and engineering teams.
Required Skills
  • Strong expertise in Responsible AI, AI ethics, model governance, model risk, fairness, explainability, privacy and safety.
  • Experience implementing AI governance controls in enterprise or production environments.
  • Understanding of LLM risks, including hallucination, bias, toxicity, prompt injection, data leakage, unsafe automation and overreliance.
  • Ability to translate policies and regulatory requirements into practical engineering, operational and audit controls.
  • Strong cross-functional stakeholder management and experience developing scalable governance frameworks.
Preferred Experience
  • Banking, insurance, fintech, consulting, model risk, regulatory risk or data-governance experience.
  • Experience building AI risk taxonomies, control libraries, governance models and Responsible AI playbooks.
  • Familiarity with Power Platform, Copilot Studio, global AI governance frameworks, model validation, privacy regulations and audit requirements.

Alternate Titles: Responsible AI Lead, AI Governance Lead, AI Risk Lead, Model Governance Lead, AI Ethics Lead, AI Policy Lead or AI Safety Lead.

 
 
 
 

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