AI Governance Lead: Risk, Regulation & Responsible AI

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

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.