AI Governance

Systems Limited; Lahore; On-site; PKR 3,500,000 - 7,000,000; Full time

Job summary

Systems Limited seeks an experienced AI governance professional to design and implement governance policies across client engagements. You will conduct model risk assessments and responsible‑AI reviews before production, map engagement requirements to EU AI Act and other regulations, and lead red‑teaming for high‑risk systems.

You will also guide practice leads on governance risks during design, facilitate cross‑functional reviews, and evangelize responsible‑AI standards within delivery teams.

Qualifications

• 6–12+ yrs in AI governance, model risk, compliance, or responsible‑AI roles.
• Working knowledge of AI regulation (EU AI Act, NIST AI RMF, sector frameworks) and how to operationalize it.
• Technical enough to critically assess a model card or evaluation report, not just check a box.
• Familiarity with bias/fairness testing methodologies and explainability tooling.
• Familiar with platform-native AI safety/governance tooling; open‑source evaluation tooling a plus.

Responsibilities

• Design and implement AI governance frameworks and policy for client engagements.
• Conduct model risk assessments and responsible‑AI reviews before production go‑live.
• Own AI regulatory implementation - mapping engagement requirements to regulation.
• Design and run AI red‑teaming exercises for high‑risk systems.
• Own AI testing & evaluation standards from a governance/ethics lens.
• Advise practice leads and Architects on governance risk during solution design.
• Facilitate cross‑functional governance reviews across legal, technical, and business stakeholders.
• Slow down launches when risk warrants it, under commercial pressure.
• Train delivery teams on responsible‑AI practices.

Skills

AI governance

Model risk

Regulatory compliance

Responsible AI

Policy writing

Ethics in AI

Explainability

Bias testing

Red-team design

Cross-functional

Tools

Azure AI Content Safety

AWS Bedrock Guardrails

Vertex AI safety filters

Giskard

DeepEval

Job description

ABOUT:

Makes AI systems trustworthy and compliant - governance frameworks, model risk assessment, and regulatory implementation that keep delivery out of legal and reputational trouble.

KEY RESPONSIBILITIES

• Design and implement AI governance frameworks and policy for client engagements
• Conduct model risk assessments and responsible-AI reviews before production go-live
• Own AI regulatory implementation - mapping engagement requirements to relevant regulation (EU AI Act, sector rules)
• Design and run AI red-teaming exercises for high-risk systems
• Own AI testing & evaluation standards from a governance/ethics lens (bias, fairness, explainability, AI ethics)
• Advise practice leads and Architects on governance risk during solution design, not just at the end
• Facilitate cross-functional governance reviews across legal, technical, and business stakeholders
• Be the voice that slows down a launch when risk warrants it, under commercial pressure
• Train delivery teams on responsible-AI practices

REQUIREMENTS & SKILLS

• 6-12+ yrs in AI governance, model risk, compliance, or responsible-AI roles
• Working knowledge of AI regulation (EU AI Act, NIST AI RMF, sector-specific frameworks) and how to operationalize it
• Technical enough to critically assess a model card or evaluation report, not just check a box
• Familiarity with bias/fairness testing methodologies and explainability tooling
• Familiar with platform-native AI safety/governance tooling - Microsoft Azure AI Content Safety, AWS Bedrock Guardrails, and Google Vertex AI safety filters; open-source evaluation tooling (Giskard, DeepEval) a good-to-have
• Experience designing red-team protocols for AI systems
• Strong written policy/framework authorship - produces documents legal and technical teams both trust
• Comfortable being the voice that slows down a launch when risk warrants it, under commercial pressure
• Facilitates cross-functional governance reviews across legal, technical, and business stakeholders
• Diplomatic but firm - holds the line on risk without becoming an obstructionist