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Ai Risk Jobs in New Jersey (NOW HIRING)

Ascot Group

AI Governance Lead

Iselin, NJ · On-site

This is an opportunity to join Ascot Group - one of the world's preeminent specialty risk ... Ascot is embedding artificial intelligence (AI) and automation across the organisation to enhance ...

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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.

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The most popular types of Ai Risk jobs in New Jersey are:

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For Ai Risk jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching Ai Risk jobs in New Jersey look for?

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Infographic showing various Ai Risk job openings in New Jersey as of August 2026, with employment types broken down into 79% Full Time, 19% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

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

Niche IT Software Solutions LLC

Jersey City, NJ • On-site

Other

Posted 21 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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