AI Governance

Systems Limited; Islamabad; On-site; PKR 1,000,000 - 2,000,000; Full time

Job summary

Systems Limited seeks a seasoned AI governance leader to design and oversee governance frameworks, model risk assessments, and responsible-AI reviews for client engagements in a regulated environment.

You will map engagement requirements to EU AI Act and other standards, run red-teaming exercises, and guide cross-functional teams to slow launches when risk warrants it. Strong policy writing and cross-stakeholder communication are essential.

Qualifications

• 6-12+ years in AI governance, model risk, compliance, or responsible-AI roles.
• Familiar with AI regulation (EU AI Act, NIST RMF) and how to operationalize it.
• Technical enough to critically assess a model card or evaluation report, not just check a box.
• Familiar with bias/fairness testing methodologies and explainability tooling.
• Familiar with platform-native AI safety/governance tooling and open-source evaluation tooling as a good-to-have.

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
• Diplomatic but firm - holds the line on risk without becoming an obstructionist

Skills

AI governance

Model risk assessment

Regulatory compliance

Responsible-AI

Bias testing

Explainability tooling

Red-team protocols

Policy documentation

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