AI Governance

Systems Limited; Karachi Division; On-site; PKR 2,500,000 - 4,500,000; Full time

Job summary

Systems Limited seeks an senior professional to lead AI governance and model risk assurance for client engagements. The role requires deep expertise in regulatory frameworks, risk assessment, and responsible-AI practices across governance, ethics, and policy.

You will champion policy development, run red-teaming exercises, and coordinate with legal, technical, and business teams to ensure compliant, trustworthy AI solutions before production.

Qualifications

• 6–12+ years in AI governance, model risk, or responsible-AI roles.
• Working knowledge of AI regulation (EU AI Act, NIST AI RMF).
• Ability to critique model cards and evaluation reports.
• Familiar with bias/fairness testing methods and explainability tooling.
• Experience with governance tooling and policy authorship.

Responsibilities

• Design and implement AI governance frameworks for client engagements.
• Conduct model risk assessments and responsible-AI reviews before production go-live.
• Own AI regulatory implementation mapping engagements to regulations.
• Design and run AI red-teaming exercises for high-risk systems.
• Set testing and evaluation standards from governance/ethics perspective.
• Advise practice leads on governance risk during solution design, not just final checks.
• Lead cross-functional governance reviews across legal, technical, business.
• Advocate cautious go/no-go decisions when risk is high.

Skills

AI governance

Model risk

Regulatory compliance

Explainability tooling

Policy writing

Cross-functional leadership

Risk awareness under pressure

Tools

Azure AI Content Safety

AWS Bedrock Guardrails

Google Vertex AI safety filters

Giskard

DeepEval

Job description

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
• 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