AI Governance / Ethical AI Specialist
Core
Embed responsible AI practices into the design, development, and operation of AI solutions, establishing practical controls for risk, transparency, privacy, security, fairness, and human oversight.
Role type
AI Governance / Ethical AI Specialist
Builds
Governance frameworks, control checklists, approval gates, and evidence packages for regulated AI use cases
Domain
Financial services, Banking, AI Governance, Risk Management
Deliverable
production ML models
Required skills
Responsible AI principles (fairness, accountability, transparency, privacy, safety, human oversight), Technology risk assessment, Model risk management, Compliance and data governance, AI/LLM system risk assessment, Policy translation to engineering controls, Documentation and risk analysis, Stakeholder management, LLM/RAG/agentic systems knowledge, Traceable evidence maintenance
Preferred skills
NIST AI RMF, ISO/IEC 42001, EU AI Act, Privacy impact assessments, Model cards, Red teaming, Bias testing, Cloud AI governance, Regulated sector background (banking, healthcare, insurance, automotive)
Technologies
LLM, RAG, Agentic systems
Responsibilities
Assess AI use cases for risk across privacy, bias/fairness, safety, transparency, security, and regulatory impact; Define governance requirements, control checklists, approval gates, and evidence expectations; Support model/system documentation including intended use, limitations, data sources, and evaluation plans; Review prompts, RAG sources, model outputs, and agent behaviors for responsible-AI risks; Partner with engineering teams to design guardrails, human oversight, logging, and escalation mechanisms; Coordinate risk reviews and audit-ready evidence with legal, compliance, and security teams; Track AI standards and regulations to translate them into delivery guidance
Seniority
Mid-Senior, hands-on IC
