What are the responsibilities and job description for the AI Safety & Responsible AI Lead (Responsible AI | AI Governance | Model Risk | Ethical AI) position at Niche IT Software Solutions LLC?
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.