Ai Safety Responsible Ai Lead Ai

Job Title: AI Safety & Responsible AI Lead (AI Governance, Model Risk & Ethical AI)

Location: Jersey City, NJ. Onsite 4 days a week; a face-to-face interview at the client's Jersey City location is mandatory.

Employment Type: Contract

Client: Large financial services client

About the Role
We're looking for a Responsible AI Lead to define and put into practice Responsible AI governance across the AI lifecycle at a large banking client. You'll make sure AI systems are safe, fair, explainable, transparent, and compliant, and that they meet model risk, legal, privacy, security, and audit expectations. The role covers enterprise AI platforms as well as business-led citizen development on Microsoft Power Platform and Copilot Studio.

Key Responsibilities

• Define Responsible AI standards, policies, procedures, risk-classification methods, and operating models for AI and GenAI initiatives
• Set up governance for use-case intake, risk assessment, model review, approval workflows, deployment readiness, monitoring, and escalation
• Build safety and evaluation frameworks covering fairness, bias, explainability, transparency, robustness, privacy, hallucination, harmful outputs, and human oversight
• Define guardrail requirements for LLMs, RAG systems, agentic workflows, high-risk banking applications, and citizen-development solutions
• Lead AI impact assessments, risk reviews, control assessments, readiness reviews, and remediation planning
• Set metrics and monitoring for bias, safety violations, explainability gaps, hallucination trends, and behavior drift
• Create governance playbooks and reusable control evidence for enterprise AI and Power Platform / Copilot Studio workflows
• Work with model risk, legal, compliance, data governance, cybersecurity, audit, product, and engineering teams
• Govern high-risk workflows such as KYC, credit underwriting, financial crime, and sanctions screening

Required Skills & Experience

• Deep understanding of Responsible AI, AI ethics, model governance, model risk, explainability, fairness, privacy, and enterprise risk management
• Experience implementing AI governance or Responsible AI controls in production or enterprise environments
• Knowledge of LLM-specific risks: hallucination, bias, toxicity, prompt injection, data leakage, overreliance, and unsafe automation
• Ability to turn policy and regulatory expectations into practical product, engineering, operating, and audit controls
• Experience working with risk, compliance, legal, security, data, audit, product, and engineering stakeholders
• Ability to define controls that scale across central AI platforms and distributed citizen development

Preferred

• Experience in banking, insurance, fintech, consulting, regulatory risk, model risk management, or data or technology governance
• Experience building AI risk taxonomies, control libraries, governance operating models, or Responsible AI playbooks
• Familiarity with Power Platform, Copilot Studio, Power Apps, Power Automate, Power BI, global AI governance frameworks, model validation, and privacy regulation

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