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ai governance lead

Systems Limited

<div>
 
 
 Experience required:
 
 5-8 Years
 
 
 
 Location
 
 : Islamabad
 
 
 
 
 
 Systems Limited is seeking a highly motivated
 
 AI Governance Lead
 
 to join our team in Islamabad. This role will be responsible for driving the implementation and ongoing management of the
 
 AI Management System (AIMS)
 
 in alignment with
 
 ISO/IEC 42001
 
 , while establishing strong AI governance, risk management, and compliance practices across the organization.
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 
 1. ISO/IEC 42001 Implementation &amp; Management
 
 
 <ul>
 <li>
 Lead the implementation and certification of
 
 ISO/IEC 42001 (AI Management System &ndash; AIMS)
 
 .
 </li>
 <li>
 Develop, implement, and maintain the organization&rsquo;s AI Management System.
 </li>
 <li>
 Establish policies, procedures, and documentation aligned with ISO 42001 requirements.
 </li>
 <li>
 Coordinate internal and external audits and act as the primary point of contact for auditors.
 </li>
 <li>
 Track, manage, and close audit findings through effective corrective and preventive actions.
 </li>
 <li>
 Ensure ongoing compliance through regular monitoring, reviews, and continuous improvement initiatives.
 </li>
 </ul>
 
 
 2. AI Governance &amp; Policy Framework
 
 
 <ul>
 <li>
 Design and implement the organization&rsquo;s
 
 AI governance framework
 
 , including policies, standards, and guidelines.
 </li>
 <li>
 Define acceptable and prohibited AI use cases across business functions.
 </li>
 <li>
 Develop AI usage guidelines and best practices for internal teams.
 </li>
 <li>
 Ensure alignment with
 
 data protection, privacy, and information security policies
 
 .
 </li>
 <li>
 Maintain an inventory of AI systems and ensure proper classification and documentation.
 </li>
 </ul>
 
 
 3. AI Risk Management &amp; Impact Assessments
 
 
 <ul>
 <li>
 Conduct and maintain
 
 AI Impact Assessments (AIIA)
 
 for AI systems and use cases.
 </li>
 <li>
 Identify and evaluate risks related to:
 </li>
 <li>
 Bias and fairness
 </li>
 <li>
 Privacy and data protection
 </li>
 <li>
 Security vulnerabilities
 </li>
 <li>
 Model reliability and performance
 </li>
 <li>
 Ethical considerations
 </li>
 <li>
 Maintain AI risk registers and define mitigation strategies.
 </li>
 <li>
 Ensure periodic reassessment of deployed AI systems to maintain compliance and risk control.
 </li>
 </ul>
 
 
 4. AI Tools Governance &amp; Vendor Evaluation
 
 
 <ul>
 <li>
 Evaluate and review new AI tools and technologies prior to adoption.
 </li>
 <li>
 Conduct risk and compliance assessments of
 
 third-party AI vendors and solutions
 
 .
 </li>
 <li>
 Ensure proper due diligence, governance controls, and contractual safeguards are in place.
 </li>
 <li>
 Establish and manage the approval workflow for AI tool adoption.
 </li>
 <li>
 Monitor and address
 
 shadow AI usage
 
 across the organization.
 </li>
 </ul>
 
 
</div>

AI Governance Lead

Pakistan Digital Authority

<div>
 
 The Pakistan Digital Authority is Pakistan's apex statutory body for national digital transformation, established under the Digital Nation Pakistan Act 2025. PDA is responsible for the country's Digital Public Infrastructure (DPI), AI and data governance frameworks, national digital standards, and the Digital Nation Masterplan &mdash; a cross-government programme covering all provinces, the whole of government, and 240 million citizens.
 
 
 
 
 
 This is not a typical government role. PDA operates with the mandate of a regulator, the ambition of a national transformation programme, and the urgency of a startup.
 
 
 
 
 
 
 The Role
 
 
 
 
 
 
 The Chief AI Officer is a founding executive appointment at PDA and the senior-most AI leadership role in Pakistan's public sector.
 
 
 
 
 
 You will carry two distinct but deeply connected mandates: AI supervision &mdash; building the regulatory, governance, and oversight architecture that governs how AI is developed and deployed across Pakistan; and AI use-case strategy &mdash; identifying, prioritising, and driving the AI applications that will transform government services and public outcomes at scale.
 
 
 
 
 
 You will report directly to the Chairperson and work alongside the Chief Data Officer and be part of PDA's integrated technology governance team.
 
 
 
 
 
 
 What You Will Lead
 
 
 
 
 
 
 AI Governance &amp; Supervision
 
 
 &rtrif; Lead the development of Pakistan's National AI Governance Framework &mdash; covering AI risk classification, algorithmic accountability, transparency requirements, and prohibited use definitions
 
 
 
 
 
 &rtrif; Own PDA's AI regulatory instruments under the Digital Nation Pakistan Act &mdash; including government AI use policies, AI audit frameworks, and conformity assessment protocols for high-risk AI systems
 
 
 
 
 
 &rtrif; Help establish the National AI Advisory Council &mdash; convening government, academia, civil society, and industry to inform national AI policy
 
 
 
 
 
 &rtrif; Develop Pakistan's position on sovereign AI infrastructure &mdash; national compute, foundational models, and AI supply chain resilience
 
 
 
 
 
 
 AI Strategy &amp; Use-Cases
 
 
 
 &rtrif; Build and own PDA's government AI use-case portfolio &mdash; identifying highest-impact applications across health, justice, education, taxation, social protection, and public safety
 
 
 
 
 
 &rtrif; Lead the strategy and oversight of PDA's AI solutions suite
 
 
 
 
 
 &rtrif; Design the AI maturity assessment framework for federal ministries and lead national AI readiness diagnostics
 
 
 
 
 
 &rtrif; Drive Pakistan's AI talent and capability strategy in partnership with higher education institutions and the technology industry
 
 
 
 
 
 &rtrif; Build and lead PDA's AI Division &mdash; hiring AI policy specialists, applied AI engineers, and research capacity
 
 
 
 
 
 
 What We Are Looking For
 
 
 
 
 
 
 Essential
 
 
 ✔ 15+ years of progressive experience spanning AI/ML, technology strategy, or technology policy &mdash; with significant leadership tenure
 
 
 ✔ Demonstrated command of AI governance principles: risk-based classification, algorithmic accountability, explainability, fairness, and AI safety
 
 
 ✔ Track record of leading AI strategy at organisational or national scale &mdash; governance and policy architecture, not just AI delivery
 
 
 ✔ Ability to operate fluently across technical and policy registers &mdash; credible with engineers and with ministers
 
 
 ✔ Experience building and leading high-performing cross-functional teams in complex institutional environments
 
 
 
 
 
 Highly Valued
 
 
 ✦ Experience in a national AI authority, government AI body, or equivalent institution
 
 
 ✦ Deep familiarity with international AI governance frameworks: EU AI Act, OECD AI Principles, NIST AI RMF, UNESCO Recommendation on AI Ethics
 
 
 ✦ Hands-on experience with large language models, Generative AI deployment, and the governance challenges they create in public sector contexts
 
 
 ✦ Exposure to sovereign AI infrastructure &mdash; national compute strategy, open-source foundation models, AI procurement policy ✦ Understanding of AI's intersection with data governance, digital identity, and digital public infrastructure
 
 
 
 
 
 
 Why PDA
 
 
 
 &rarr; Shape the AI governance architecture of a nation of 240 million people &mdash; one of the highest-impact AI leadership roles in the developing world &rarr; Direct reporting line to the Chairperson &amp; CEO; seat at PDA's executive leadership table &rarr; Influence Pakistan's AI legislation, international AI commitments, and the sovereign AI infrastructure agenda
 
 
 &rarr; Competitive compensation benchmarked to Pakistan's senior public sector reform appointments and international GovTech norms
 
</div>

Chief AI Officer

Jazz

<div>
 
 
 Title: Practice Lead - Data Science - Teknosys
 
 Level: L3
 
 Location: Islamabad
 
 Last Date to Apply: 16th April 2026
 
 
 
 
 What does a Practice Lead - Data Science/AI do?
 
 
 
 The Practice Lead is a senior role responsible for building, scaling, and institutionalizing the organization's AI and Data Science capabilities. This role requires a strong blend of
 
 strategic vision, people leadership, delivery excellence, and governance
 
 to establish Data Science/AI as a core business enabler.
 
 
 The Practice Lead will define the long-term AI vision and translate it into a
 
 practical, execution-driven roadmap
 
 , ensuring alignment with organizational priorities and measurable business outcomes. The role focuses on creating a
 
 high-impact practice
 
 that balances innovation with reliability, enabling both rapid experimentation and production-grade deployments.
 
 
 A critical component of this role is
 
 people leadership
 
 . The Practice Lead is responsible for building and nurturing a
 
 diverse, high-performing team of data scientists, ML engineers, and AI specialists
 
 , including hiring, mentoring, and developing talent. The role requires fostering a culture of
 
 collaboration, accountability, continuous learning, and ethical AI development
 
 , while establishing clear career paths, competency frameworks, and performance standards.
 
 
 The Practice Lead will also establish and enforce
 
 best practices across the AI/ML lifecycle
 
 , ensuring consistency, scalability, and governance. This includes standardizing processes for data management, model development, validation, deployment, and monitoring, along with driving adoption of
 
 MLOps practices
 
 such as CI/CD for ML, automated testing, and model lifecycle management. Ensuring
 
 model explainability, fairness, security, and compliance
 
 is a key responsibility. Acting as a bridge between business and technology, the Practice Lead ensures that AI initiatives are
 
 problem-driven, ROI-focused, and scalable
 
 , integrating seamlessly into enterprise systems.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Define and drive the
 
 AI and Data Science strategy
 
 , ensuring alignment with organizational goals and measurable business outcomes
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Identify, prioritize, and deliver
 
 high-impact AI use cases
 
 that create tangible business value
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Build, lead, and mentor a
 
 high-performing team
 
 of data scientists, ML engineers, and AI specialists
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Establish and scale a
 
 structured Data Science/AI practice
 
 , including operating model, standards, and governance frameworks
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Oversee
 
 end-to-end delivery of AI solutions
 
 , ensuring scalability, reliability, and production readiness
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Implement and enforce
 
 best practices across the AI/ML lifecycle
 
 , including MLOps, model monitoring, and continuous improvement
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Act as a
 
 trusted advisor to senior leadership
 
 , translating business challenges into AI-driven solutions
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Ensure
 
 responsible and ethical AI practices
 
 , including data privacy, model explainability, and regulatory compliance
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Guide the selection and adoption of
 
 AI technologies, platforms, and architectures
 
 aligned with enterprise strategy
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Drive
 
 innovation and continuous improvement
 
 by evaluating emerging technologies such as Generative AI and Large Language Models (LLMs)
 
 
 
 
 Requirements
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Bachelor's or Master's degree in Computer Science, Data Science, AI, or related field
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 8+ years of experience in AI/ML/Data Science, with
 
 4+ years in leadership roles
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Proven track record of delivering
 
 enterprise-scale AI solutions
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Strong expertise in
 
 ML, Deep Learning, NLP, and/or Generative AI
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Experience with
 
 cloud platforms (AWS, Azure, GCP)
 
 and MLOps practices
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Demonstrated ability to
 
 build, lead, and develop high-performing teams
 
 , including mentoring, performance management, and fostering a collaborative culture
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Strong stakeholder management and communication skills
 
 
 
 
 
 Behavioural &amp; Core Competencies
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Strategic thinking and vision
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Leadership and team building
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Strong business and technical acumen
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Innovation and problem-solving mindset
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Decision-making under ambiguity
 
 
 
 
 Benefits
 
 
 
 
 
 Why Join Teknosys?
 
 
 
 At Teknosys, you will be at the forefront of
 
 &nbsp;Pakistan's digital transformation journey
 
 , shaping solutions across AI, Data, IT, and Managed Services. You'll work alongside some of the brightest minds in the industry, partner with global hyperscalers &amp; leaders, and close deals that define the future of digital in the region.
 
 
 Joining us means being part of a&nbsp;
 
 fast-scaling, innovation led business
 
 &nbsp;where your impact will directly fuel growth, customer success, and leadership.
 
</div>

Practice Lead - Data Science - Teknosys

Taleemabad

<div>
 
 
 Lead Analytics Engineer Role @ Taleemabad
 
 
 
 
 
 
 
 About Taleemabad
 
 
 
 Taleemabad is transforming the lives of hundreds of thousands of children across Pakistan by working with public schools to improve learning outcomes. We partner with forward-thinking governments, leverage technology, and use rigorous evidence and data to ensure that teachers teach well, learning is visible, and every child has access to high-quality education. We believe deeply in efficiency, cost-effectiveness, and scaling impact nationally.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Lead the development of AI-powered data tools, including custom MCPs and workflow automation systems
 </li>
 <li>
 Identify high-leverage opportunities to integrate AI into analytics workflows (e.g., query generation, QA, documentation, insight generation)
 </li>
 <li>
 Ensure AI-generated outputs meet standards of accuracy, reliability, and interpretability before adoption
 </li>
 <li>
 Establish best practices for safely and effectively using AI in data work, including validation, monitoring, and iteration
 </li>
 <li>
 Partner with engineering to productionize AI-enabled data capabilities and embed them into the team&rsquo;s workflows
 </li>
 <li>
 Define and drive the analytics engineering roadmap
 </li>
 <li>
 Review and audit complex analyses and data models for accuracy and rigor
 </li>
 <li>
 Evaluate and recommend new tools, frameworks, and methodologies
 </li>
 <li>
 Lead build-vs-buy decisions for analytics tooling
 </li>
 <li>
 Establish and manage data governance frameworks across the organization
 </li>
 <li>
 Run structured audit programs for key datasets and metrics
 </li>
 <li>
 Resolve cross-functional conflicts around data definitions
 </li>
 <li>
 Partner with leadership to co-create and define success metrics
 </li>
 <li>
 Translate company strategy into a clear analytics agenda
 </li>
 <li>
 Drive adoption of data-driven decision-making across teams
 </li>
 <li>
 Lead data literacy initiatives for non-technical stakeholders
 </li>
 <li>
 Manage team portfolio
 </li>
 <li>
 Mentor senior analysts and analytics engineers
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 5+ years in analytics, data, or product roles
 </li>
 <li>
 Strong SQL and data modeling; experience with modern data stack (e.g., dbt, BigQuery, Snowflake)
 </li>
 <li>
 Hands-on experience integrating AI/LLMs into data workflows
 </li>
 <li>
 Proven track record of building and scaling data tools or analytics systems
 </li>
 <li>
 Experience ensuring data quality through validation, auditing, and governance
 </li>
 <li>
 Ability to translate business needs into data solutions and drive decisions
 </li>
 <li>
 Experience collaborating with engineering to productionize solutions
 </li>
 <li>
 Strong stakeholder management and communication skills
 </li>
 <li>
 Experience owning roadmaps and leading projects end-to-end
 </li>
 <li>
 Prior experience mentoring or managing team members (preferred)
 </li>
 </ul>
 
 
</div>

Lead Analytics Engineer

MILELE

<div><div>We seek a forward-thinking Head of AI &amp; Automation to lead the development and implementation of intelligent solutions within our automotive business.
</div><div>The role focuses on building scalable AI-driven systems to enhance operations across sales, finance and supply chain.</div><div></div><h3 class="jobSectionHeader"> 
What You&rsquo;ll Be Leading</h3><ul><li>
Design and build AI-powered solutions including agents, copilots, chatbots, and workflow automation tools</li><li>
Integrate AI capabilities with ERP systems (SAP, Oracle, Microsoft Dynamics, NetSuite)</li><li>
Develop document intelligence solutions using OCR, NLP, and LLMs</li><li>
Build predictive analytics models for business functions such as finance and sales</li><li>
Lead development of AI-enabled platforms, dashboards, and SaaS products</li><li>
Implement LLM-based solutions, including RAG pipelines, embeddings, and vector databases</li><li>
Ensure AI governance, data security, and model performance optimization</li><li>
Oversee end-to-end product development (backend, frontend, cloud deployment)</li></ul><div></div><div> 
Required Skills:</div><ul><li>
Strong Python expertise with TensorFlow, PyTorch, LangChain, OpenAI, Hugging Face</li><li>
Experience in OCR/document AI and LLM-based applications</li><li>
Frontend: React / Next.js | Backend: FastAPI / Flask / Node.js</li><li>
Databases: SQL &amp; NoSQL | Vector DBs (Pinecone, FAISS, etc.)</li><li>
Cloud platforms: AWS / Azure / GCP</li><li>
DevOps tools: Docker, CI/CD (Kubernetes preferred)</li></ul><div>
The role is based in Lahore, Pakistan.</div></div><div></div>

Head of AI & Automation

92Techno

We are seeking an experienced AI/GenAI Solution Architect to lead the design and delivery of enterprise-grade AI solutions.Responsibilities<ul><li>Engage with clients early to understand AI/GenAI/ML use cases and business requirements</li><li>Design proposed AI architectures and delivery approaches for opportunities</li><li>Provide effort estimates, assumptions, and implementation roadmaps for AI components</li><li>Lead end-to-end AI/GenAI solution architectures including data, models, integration, and deployment</li><li>Own scoped AI work packages delivered by the AI CoE within larger delivery projects</li><li>Ensure AI solutions are production-grade, secure, scalable, and maintainable</li><li>Collaborate with delivery teams for integration, handover, and deployment support</li><li>Establish reusable reference architectures, patterns, and best practices</li><li>Lead AI-enabled development initiatives across delivery teams</li><li>Standardize AI tools and workflows across the software development lifecycle (requirements, design, coding, testing, documentation)</li><li>Maintain awareness of emerging AI tools, models, and industry trends</li><li>Support internal incubation efforts and AI technology radar initiatives</li><li>Guide and mentor junior AI engineer and data analysts, providing technical direction, support, and feedback to elevate team expertise.</li></ul>Required Qualifications<ul><li>8+ years of experience in solution architecture, AI/ML engineering, or related roles</li><li>Strong understanding of AI/ML concepts, GenAI architectures, and modern model ecosystems</li><li>Experience designing AI solutions for enterprise clients, including integration into business applications</li><li>Hands-on familiarity with GenAI patterns such as RAG, agents, embeddings, and prompt engineering</li><li>Strong communication and stakeholder management skills, especially in client-facing settings</li><li>Ability to work across pre-sales, delivery, and engineering teams</li></ul>Preferred Skills<ul><li>Experience with cloud AI platforms (Azure AI, AWS SageMaker, GCP Vertex AI)</li><li>Familiarity with MLOps practices, evaluation frameworks, and deployment pipelines</li><li>Exposure to enterprise security, compliance, and responsible AI governance</li><li>Prior experience in consulting or client delivery environments</li></ul>Job Type: Full-timePay: Rs500,000.00 - Rs600,000.00 per monthWork Location: In person

AI Solution Architect

Jorofy Private Limited

Role Summary:We are seeking an exceptional Senior AI Engineer to join our team and drive the development of cutting-edge AI solutions that includes conversational, Agentic AI's. This role focuses on building advanced conversational AI systems, implementation AI Agents across different use cases, implementing sophisticated RAG architectures, and deploying production-grade voice AI applications. The ideal candidate will have deep expertise in LLM technologies and a proven track record of delivering scalable AI solutions.Responsibilities:AI System Development-Design and implement advanced Retrieval-Augmented Generation (RAG) systems with sophisticated chunking strategies, multi-vector retrieval, and hybrid search architectures-Develop and optimize conversational AI agents with complex multi-turn dialogue management and context awareness-Build production-ready voicebot solutions integrating real-time speech processing pipelines-Architect and deploy Text-to-Speech (TTS) and Speech-to-Text (STT) systems with low latency and high accuracy-Design and Deploy PROD grade AI Agents that can scale up for various use cases.LLM Engineering-Fine-tune large language models using various techniques.-Optimize model performance through prompt engineering, few-shot learning, and retrieval strategies-Implement evaluation frameworks and metrics for LLM outputs and conversational quality-Develop custom training pipelines for domain adaptation and specialized use cases-Design scalable AI infrastructure supporting real-time inference and high-throughput batch processing-Implement efficient vector databases and semantic search systems (Pinecone, Azure Search)-Build monitoring and observability solutions for AI systems in productionStakeholder Management &amp; Governance-Coordinate across organizational stakeholders including Architecture, Security, Data Gov etc.-Ensure compliance with internal and external governance frameworks and regulations-Advocate for AI trends and technological advancements relevant to telecommunicationsStay current with latest developments in LLM architectures, RAG techniques, and voice AI technologiesExperiment with emerging models and frameworks to evaluate applicability to business problemsApply at : careers@enums.coJob type : RemoteJob Type: Full-timeApplication Question(s): * It's Not a Part time job, It's a Full time role. You can not do any other job or freelance work if you need this full time job.Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>AI Lead: 8 years (Required)</li></ul>Work Location: Remote

Senior AI Engineer

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