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lead ai engineer

Contour Software

<div><div>About Contour</div><div></div><div><div>
Contour Software</div> has grown from a dozen people to over 2,000 staff across 3 cities, in less than 14 years.</div><div> 
As a subsidiary of Constellation Software Inc., we are proud to be part of a global enterprise software conglomerate that has grown to become one of the top 10 software companies in the world, with employees and customers in 100+ countries. With a broad-based and ever-growing portfolio of market-leading, vertical-market enterprise solutions covering more than 100 industry domains in predominantly mature markets, CSI's recipe creates the perfect environment for professionals to build fulfilling, long-term careers.</div><div> 
What started as an R&amp;D &amp; Accounting back-office, has progressed into a full-service Global Centre serving all functions and departments, at the divisional as well as operating group/corporate level. Today Contour employees, located in Karachi, Lahore &amp; Islamabad, are serving CSI divisions located in time zones spanning the globe, from Sydney to Vancouver. With the global growth of Constellation as the wind in our sails, we are only just getting started!</div><div></div><div>
THE DIVISION:</div><div>
Campana Systems is an international leader in information solutions for the auto club industry. Since 1988, we have been enabling our clients to achieve their ongoing business objectives using our in-depth industry knowledge and trusted technology solutions. Our mission is to enable our auto club clients to achieve their strategic goals by providing leadership through effective innovative solutions and services.</div><div></div><div> 
THE POSITION:</div><div>
We are building next-generation AI capabilities to enhance our product suite and internal operations for a one-year contract. As a Lead AI Engineer, you will play a pivotal role defining and validating our AI architecture and governance. You will guide AI strategy, provide hands-on development leadership, and collaborate with senior architects, engineers, and product stakeholders to operationalize enterprise-grade AI services. The successful hire will work from the Contour Software Karachi/Lahore/Islamabad office as part of the resource-center team that is an extension of the division-based R&amp;D department.</div><div></div><div> 
JOB RESPONSIBILITIES:</div><ul><li><div>
Lead the design, validation, and documentation of the enterprise AI architecture and governance model.</div></li><li><div>
Architect secure, scalable AI/ML environments in cloud platforms for production use.</div></li><li><div>
Guide the integration of Large Language Models (LLMs) into internal and customer-facing software products.</div></li><li><div>
Provide technical leadership on ML pipelines, model lifecycle workflows, and model governance best practices.</div></li><li><div>
Establish coding standards, development guidelines, and AI guardrails for engineering teams.</div></li><li><div>
Actively contribute to the development and deployment of AI-enabled features and services.</div></li><li><div>
Mentor and coach intermediate and junior AI/ML engineers.</div></li><li><div>
Collaborate across teams to move AI use cases from prototype to production, ensuring robustness, monitoring, and scalability.</div></li></ul><div></div><div> 
REQUIRED QUALIFICATIONS:</div><ul><li><div>
Bachelor&rsquo;s in Computer Science, ML/AI, or related field.</div></li><li><div>
Strong experience in applied AI/ML engineering roles.</div></li><li><div>
Strong expertise with training, fine-tuning, or integrating LLMs (OpenAI, Anthropic, LLaMA, etc.).</div></li><li><div>
Proven track record designing and deploying ML systems at scale in cloud environments (AWS, Azure, or GCP).</div></li><li><div>
Experience building secure, enterprise AI infrastructure with CI/CD practices.</div></li><li><div>
Proficiency with Python, ML frameworks (TensorFlow, PyTorch), and API integration.</div></li><li><div>
Excellent analytical, leadership, and communication skills.</div></li></ul><div></div><div> 
GOOD TO HAVE:</div><ul><li><div>
Prior experience in a lead AI architect or principal engineer role.</div></li><li><div>
Knowledge of MCP or similar emerging ML standards and protocols.</div></li><li><div>
Experience with data governance frameworks and MLOps tooling.</div></li></ul><div>
Exciting Benefits we offer:</div><ul><li><div>
Market-leading Salary</div></li><li><div>
Medical Coverage &ndash; Self &amp; Dependents</div></li><li><div>
Parents Medical Coverage</div></li><li><div>
Provident Fund</div></li><li><div>
Employee Performance-based bonuses</div></li><li><div>
Home Internet Subsidy</div></li><li><div>
Conveyance Allowance</div></li><li><div>
Profit Sharing Plan [Tenured Employees Only]</div></li><li><div>
Life Benefit</div></li><li><div>
Child Care Facility</div></li><li><div>
Company Provided Lunch/Dinner</div></li><li><div>
Professional Development Budget</div></li><li><div>
Recreational area for in-house games</div></li><li><div>
Sporadic On-shore training opportunities</div></li><li><div>
Friendly work environment</div></li><li><div>
Leave Encashment</div></li></ul><div></div><div>
Disclaimer: At Contour, we attribute our success to the unique contributions of our diverse staff. We&rsquo;re committed to fostering a culture of respect that thrives on the varied perspectives and experiences of all individuals we recruit, employ, promote, and compensate. Since day one, we&rsquo;ve adhered to a policy that champions a work environment honoring the worth and dignity of each person while being free from all forms of employment discrimination.</div><div></div><div>
In our continuous effort to promote inclusivity, we extend our commitment to individuals with special needs by providing reasonable accommodations. We actively encourage qualified individuals with special needs to apply for the various openings within our company. Should you require assistance in completing the application process or have any inquiries regarding special facilities, please do not hesitate to contact our HR team. Your unique talents and abilities are welcomed and valued here.</div></div><div></div>

Lead AI Engineer

Value Engineering

Reporting to AI Lead / Solution Architect, this is a senior technical leadership role responsible for: Designing and deploying state-of-the-art LLMs and multi-modal AI models. Implementing agentic AI systems with RAG, self-RAG, and memory-optimized architectures. Leading cloud-based GPU LLM training pipelines, including data labeling, preprocessing, model training, and post-processing. Extending AI models into front-end applications and back-end pipelines. Managing staging, development, and production environments with SSH deployment and editing. Driving complex problem-solving, critical thinking, and innovative AI solutionsKey Responsibilities1. LLM Cloud Training &amp; Pipelines (Mandatory)Design and deploy LLM training pipelines on cloud GPU infrastructure. Manage data labeling, preprocessing, and post-processing for training datasets. Optimize model training, memory usage, and inference efficiency. Implement RAG-based pipelines, agentic RAG, and self-RAG for knowledge augmentation.2. Deep Learning &amp; Model DevelopmentResearch, design, and implement Transformers, Vision Transformers, Diffusion Models. Optimize SAM models for tabular and image data, including preprocessing and post-processing. Implement multi-modal AI pipelines (text, image, video). Develop agentic AI models with adaptive memory and reasoning.3. Agentic AI &amp; OrchestrationDesign agent frameworks with orchestration, inter-agent communication, and protocol management. Integrate LangChain, LangGraph, or custom agent pipelines. Ensure AI agents are robust, scalable, and production-ready.4. Machine Learning for Real-World DataImplement ML models for tabular, image, and multi-modal data. Preprocess, normalize, and feature-engineer datasets for SAM and other model types. Translate research models into production pipelines with RAG augmentation.5. Front-End &amp; Back-End AI IntegrationExtend AI models into front-end applications (interactive AI features). Integrate AI models into back-end services for low-latency inference. Ensure seamless integration between AI models and application architecture.6. Production AI Infrastructure &amp; DeploymentDeploy AI models on MCP / GPU servers, distributed clusters, or cloud infrastructure. Manage staging, dev, and production environments, including SSH deployment, editing, and version control. Implement monitoring and observability using Prometheus, Grafana, and custom dashboards. Maintain CI/CD for AI models, training pipelines, and data workflows, including Git/GitHub workflow management.7. Research to Production TranslationBring experimental AI models into production-grade systems. Validate model performance, reliability, and safety. Implement reproducibility, versioning, and automated retraining pipelines.8. Mentorship &amp; LeadershipMentor junior AI engineers and researchers. Establish best practices for AI experimentation, deployment, and RAG/agentic architectures. Contribute to AI roadmap and enterprise AI strategy.Required Experience5+ years AI / Deep Learning / Research &amp; Production experience. Mandatory: Hands-on experience in LLM training pipelines, including cloud GPU infrastructure, data labeling, preprocessing, training, and post-processing. Deep knowledge of Neural Networks, Transformers, LLMs, Vision Transformers, Diffusion Models, Agentic AI, RAG/self-RAG pipelines. Hands-on experience with SAM models, tabular data ML, and preprocessing pipelines. Experience managing staging, dev, and production environments with SSH deployment, editing, and Git/GitHub workflow. Strong Computer Vision and Image Processing skills. Experience with agent orchestration, LangChain, LangGraph, and protocol optimization. Proven problem-solving, critical thinking, and innovative AI solution delivery. Experience integrating AI into front-end and back-end systems.Preferred ExperienceExperience with generative AI, diffusion models, multi-modal agents. Optimizing LLM memory, inference, and fine-tuning at scale. Experience in production RAG pipelines and knowledge-augmented AI systems.Application Question(s):<ul><li>Are you available to work from 2:00 PM &ndash; 11:00 PM shift Monday to Friday with alternate Saturday?</li></ul><ul><li>Are you comfortable working onsite from Bahria Phase 4, Rawalpindi?</li></ul><ul><li>How many years of experience do you have as AI Engineer?</li></ul>Work Location: In person

WinWire

<div>Experience: 15&ndash;18 years
Job Description:
<ul>Presales Excellence: Expertise in solution shaping, differentiated proposals, estimations, storytelling, and deal strategy.
Modern Data &amp; AI Expertise: Deep experience across Data Modernization, Data Engineering, BI Modernization, Data Products, Data Governance, and AI-ready data architectures.
Platform Mastery: Strong hands-on understanding of Microsoft Fabric, Microsoft Purview, Microsoft Power BI, Databricks Lakehouse, SQL Server, and cloud-native data architectures.
AI &amp; ML Orientation: Knowledge of Data Science, Machine Learning workflows, and Agentic AI approaches for BI modernization and intelligent data pipelines.
Healthcare Experience (Preferred): Exposure to healthcare data models, compliance frameworks (HIPAA/PHI), and domain-specific analytics.
Outstanding Communication: Ability to simplify complex topics, influence senior stakeholders, and present compelling narratives.
Business-Centric Mindset: Strong proficiency in value articulation, business case creation, and ROI/TCO modeling.
</ul>
The Data &amp; AI Presales Lead will drive end-to-end presales engagements for Data, Analytics, and AI transformation initiatives. This role blends solution consulting, architectural leadership, and business value narration to shape winning solutions on platforms like Microsoft Fabric, Databricks, Microsoft Purview, and Power BI. The Data &amp; AI Presales Lead will drive end-to-end presales engagements for Data, Analytics, and AI transformation initiatives. This role blends solution consulting, architectural leadership, and business value narration to shape winning solutions on platforms like Microsoft Fabric, Databricks, Microsoft Purview, and Power BI.
Key Responsibilities:
Presales Leadership &amp; Solution Consulting
<ul>Lead presales engagements across global markets for mid-to-large opportunities.
Own RFP/RFI responses, solution narratives, estimation models, and differentiated value propositions.
Partner with Sales, Delivery, and Practice teams to define deal strategy and competitive positioning.
Create persuasive presentations, demos, workshops, and customer-facing collateral.
Build business cases including ROI, TCO, and modernization impact assessments.
</ul>
Data Platform &amp; Architecture Design
<ul>Architect high-level designs for:
Data Migration &amp; Modernization (legacy Microsoft Fabric / Databricks / cloud-native platforms)
Lakehouse and Data Mesh architecture
AI Ready Data
BI Modernization using Microsoft Power BI and Microsoft Fabric
Data Products and domain-driven architectures
Define ingestion-to-consumption pipelines: storage, transformation, governance, observability.
Provide estimation, sizing, and architectural guardrails for scalable, secure, and cost-optimized solutions.
</ul>
Data Governance, Quality &amp; Observability
<ul>Design frameworks for Data Governance, Data Stewardship, Data Quality, and Data Observability.
Use Microsoft Purview for data cataloging, lineage, classification, and compliance needs.
Define security models aligned with enterprise and regulatory requirements.
</ul>
AI-Ready Data, ML Workflows. DataOPS &amp; Agentic AI
<ul>Craft AI-ready data strategies to support advanced analytics, ML, and GenAI workloads.
Define solution patterns for:
Agentic AI for Data Engineering, Data Science
ML model lifecycle and operationalization
Agentic AI for BI modernization (semantic automation, intelligent insights, smart metadata utilization)
DataOPS
Partner with Data Science teams to ensure platform readiness for AI workloads.
</ul>
Healthcare Vertical (Added Advantage)
<ul>Understand healthcare datasets (EHR/EMR, claims, clinical data) and compliance models (HIPAA/PHI).
Contribute to solutions for provider, payer, and clinical analytics use cases.
Advise on secure and compliant healthcare-centric data architectures.
</ul>
Required Skills &amp; Experience
<ul>15&ndash;18 years in Data, Analytics, AI, and modern data platforms.
Strong presales experience with end-to-end ownership of solutions, proposals, and deal strategy.
<div>Hands-on expertise with:
<ul>Microsoft Fabric
Microsoft Power BI
Microsoft Purview
Databricks Lakehouse
SQL Server
Data Governance, Data Quality, Data Observability
</ul></div>Knowledge of Data Engineering, Machine Learning, and Data Science workflows.
Exceptional communication, executive presentation skills, and solution storytelling.
</ul>
Preferred Certifications
<ul>Microsoft Azure Data Engineer / Solutions Architect
Power BI or Microsoft Fabric certifications
Databricks Data Engineer / Lakehouse certifications
GCP Professional Data Engineer (optional)
</ul>
Key Skills: Data &amp; AI, Presales, RFP/RFI, Data governance, BI Modernization</div>

Data & AI Presales Lead

Try Soft Ai

Try Soft AI is looking for a highly skilled AI Engineer with strong experience in AI Automation and Generative AI technologies to join our growing engineering team. The ideal candidate will have hands-on experience building AI-powered automation systems, AI agents, and voice AI solutions.Location: DHA Phase 2, Islamabad, Pakistan Job Type: Full-Time (Onsite) Working Hours: 08:00 PM &ndash; 05:00 AM (Pakistan Standard Time) Department: Artificial Intelligence / Automation EngineeringAbout the RoleWe are looking for a highly skilled AI Engineer with strong experience in AI Automation, LLM integrations, and workflow automation. The ideal candidate will design, develop, and deploy intelligent systems that automate business processes using AI models, APIs, and automation platforms.This role requires deep expertise in Generative AI, AI agents, API integrations, and automation pipelines. The engineer will work closely with product, engineering, and operations teams to build scalable AI-powered automation solutions for internal and client-facing applications.Key ResponsibilitiesAI Automation Development<ul><li>Design and develop AI-powered automation systems that streamline business workflows and operational processes.</li><li>Build AI agents, voice agents, and conversational assistants using LLMs and AI APIs.</li><li>Implement AI-driven automation pipelines for tasks such as lead qualification, customer support, appointment booking, and data processing.</li><li>Integrate AI models into production environments using APIs and microservices architecture.</li></ul>Generative AI &amp; LLM Implementation<ul><li>Develop applications using Large Language Models (LLMs) such as OpenAI GPT models, Claude, or similar AI platforms.</li><li>Design prompt engineering strategies to optimize LLM performance.</li><li>Implement Retrieval-Augmented Generation (RAG) pipelines using vector databases.</li><li>Build AI copilots, chatbots, and decision support systems.</li></ul>Automation &amp; Integration<ul><li>Develop advanced automation workflows using tools such as:</li><li>Make.com</li><li>Zapier</li><li>n8n</li><li>LangChain</li><li>LlamaIndex</li><li>Integrate AI systems with:</li><li>CRM platforms</li><li>Databases</li><li>SaaS products</li><li>Web applications</li><li>Third-party APIs</li></ul>Voice AI &amp; Conversational Systems<ul><li>Develop AI voice agents and voice-based automation systems.</li><li>Integrate platforms such as:</li><li>Vapi.ai</li><li>Twilio</li><li>ElevenLabs</li><li>Speech-to-Text and Text-to-Speech engines</li><li>Implement real-time conversational AI systems for customer interactions.</li></ul>Backend Development &amp; API Engineering<ul><li>Design and implement RESTful APIs and AI microservices.</li><li>Integrate AI services into web and mobile applications.</li><li>Ensure scalability, reliability, and security of AI automation systems.</li></ul>Data &amp; Model Integration<ul><li>Work with structured and unstructured data sources.</li><li>Implement vector search and embeddings using vector databases such as:</li><li>Pinecone</li><li>Weaviate</li><li>FAISS</li><li>ChromaDB</li><li>Optimize AI models for performance and cost efficiency.</li></ul>Monitoring &amp; Optimization<ul><li>Monitor AI system performance and improve model outputs.</li><li>Implement logging, error handling, and retry mechanisms for automation workflows.</li><li>Continuously optimize AI workflows for accuracy, reliability, and efficiency.</li></ul>Required Technical SkillsProgramming Languages<ul><li>Python (Highly preferred)</li><li>JavaScript / Node.js</li><li>TypeScript</li></ul>AI &amp; Machine Learning<ul><li>Generative AI</li><li>LLM Applications</li><li>Prompt Engineering</li><li>Retrieval-Augmented Generation (RAG)</li><li>AI Agents &amp; Autonomous Workflows</li></ul>AI Frameworks<ul><li>LangChain</li><li>LlamaIndex</li><li>OpenAI API</li><li>HuggingFace</li><li>Transformers</li></ul>Automation Platforms<ul><li>Make.com</li><li>Zapier</li><li>n8n</li><li>Custom automation frameworks</li></ul>Voice AI Technologies<ul><li>Vapi.ai</li><li>Twilio Voice / SMS APIs</li><li>ElevenLabs</li><li>Speech-to-Text &amp; Text-to-Speech systems</li></ul>Databases<ul><li>PostgreSQL</li><li>MongoDB</li><li>Redis</li><li>Vector Databases (Pinecone, Weaviate, FAISS, Chroma)</li></ul>Cloud Platforms<ul><li>AWS / GCP / Azure</li><li>Docker</li><li>Serverless architectures</li></ul>Other Technical Skills<ul><li>REST APIs &amp; Webhooks</li><li>OAuth &amp; API authentication</li><li>Git / Version Control</li><li>CI/CD pipelines</li></ul>Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Software Engineering, or related field.</li><li>3+ years of experience in software development with exposure to AI technologies.</li><li>1&ndash;2+ years of hands-on experience building AI automation solutions.</li><li>Experience deploying AI-powered applications in production environments.</li><li>Excellent communication and collaboration skills. (MUST)</li></ul>Preferred Experience<ul><li>Experience building AI voice assistants or AI call agents.</li><li>Experience working with SaaS automation products.</li><li>Experience integrating AI systems with CRM platforms.</li><li>Experience in startup or fast-paced product environments.</li><li>Knowledge of AI security, privacy, and model governance.</li></ul>Soft Skills<ul><li>Strong analytical and problem-solving abilities.</li><li>Ability to design scalable automation architectures.</li><li>Excellent communication and collaboration skills. (MUST)</li><li>Ability to work independently during night shift operations.</li></ul>Work Environment<ul><li>Onsite role based in DHA Phase 2, Islamabad.</li><li>Night shift: 08:00 PM &ndash; 05:00 AM (Pakistan Standard Time).</li><li>Opportunity to work on cutting-edge AI automation and voice AI technologies.</li></ul>Work Location: In person

AI Engineer – AI Automation (Night Shift)

Liquid Technologies

Job Title: Outbound Sales Automation / GTM EngineerExperience: 3-5 years (flexible for strong operators)Role OverviewWe&rsquo;re looking for an Outbound Sales Automation / GTM Engineer who can design, build, and optimize scalable outbound systems. This role blends sales ops, growth engineering, and automation, focused on turning ICPs into booked meetings through email, LinkedIn, CRM, and AI-driven workflows.You&rsquo;ll own the outbound motion end-to-end &mdash; from data and tooling to messaging, deliverability, and conversion.Key ResponsibilitiesOutbound System Architecture<ul><li>Build and maintain outbound engines using tools like Smartlead, Instantly, Apollo, GoHighLevel, HubSpot, Salesforce, etc.</li><li>Design multi-channel sequences (email, LinkedIn, calls, WhatsApp where relevant).</li><li>Set up AI-assisted SDR workflows (lead enrichment, personalization, follow-ups).</li></ul>Data, Targeting &amp; ICP<ul><li>Define and refine ICPs, personas, and buying signals.</li><li>Source, clean, enrich, and segment lead lists (Sales Navigator, ContactOut, Apollo, Clay, etc.).</li><li>Implement account-based outbound (ABM) for high-value targets.</li></ul>Messaging &amp; Conversion<ul><li>Collaborate on cold email and LinkedIn copy (pain-driven, outcome-focused).</li><li>A/B test subject lines, hooks, CTAs, and sequencing logic.</li><li>Optimize for meeting booked, not just open or reply rates.</li></ul>Deliverability &amp; Infrastructure<ul><li>Manage domains, inbox rotation, DNS (SPF, DKIM, DMARC).</li><li>Monitor spam health, warming, bounce rates, and sender reputation.</li><li>Ensure consistent inbox placement at scale.</li></ul>Automation &amp; Integrations<ul><li>Build no-code / low-code workflows using Zapier, Make, n8n.</li><li>Integrate outbound tools with CRMs, calendars, Slack, and analytics.</li><li>Automate reporting, lead routing, and follow-ups.</li></ul>Analytics &amp; Optimization<ul><li>Track funnel metrics: delivery &rarr; open &rarr; reply &rarr; meeting &rarr; close.</li><li>Create dashboards and weekly performance reports.</li><li>Continuously iterate GTM strategy based on data.</li></ul>Required Skills &amp; Experience<ul><li>Hands-on experience with cold email + LinkedIn outbound</li><li>Strong understanding of sales automation tools &amp; CRMs</li><li>Knowledge of email deliverability best practices</li><li>Comfortable with no-code / low-code automation</li><li>Analytical mindset with strong experimentation habits</li></ul>Application Question(s):<ul><li>Have you completed the following level of education: Bachelor's Degree?</li><li>What will be your expected salary in PKR?</li><li>What is your current salary in PKR?</li><li>Do you have 3+ years of experience in outbound sales automation or GTM operations?</li><li>Are you comfortable to manage your commute to Zamzama Phase V?</li><li>Have you built automation workflows and integrations using tools like Zapier, Make, or similar no-code platforms?</li></ul>Work Location: In person

GTM Engineer

One Network

AI Engineer to lead the development of intelligent AI solutions, including chatbots, resume parsers, document automation tools, and conversational AI systems. You will own the end-to-end AI pipeline&mdash;from research and prototyping to deployment and optimization&mdash;delivering scalable, production-ready AI applications that improve efficiency and user experience..Duties &amp; Responsibilities<ul><li>Design and develop AI-powered chatbots and virtual assistants for customer support, internal workflows, and conversational interfaces.</li><li>Build intelligent document processing systems, including resume/CV parsers, contract analyzers, and automated data extraction pipelines.</li><li>Develop LLM-based agents for question-answering, compliance validation, sentiment analysis, and content summarization.</li><li>Create and optimize RAG (Retrieval-Augmented Generation) systems for accurate, context-aware information retrieval and generation.</li><li>Fine-tune and deploy open-source and proprietary LLMs (e.g., Llama, Mistral) for domain-specific applications.</li><li>Implement end-to-end AI solutions using Python and frameworks like PyTorch, TensorFlow, or equivalent.</li><li>Apply Computer Vision tools (YOLO, OpenCV) for document layout analysis and image-based data extraction.</li><li>Collaborate with cross-functional teams to integrate AI solutions into production systems.</li><li>Continuously research and adopt emerging AI technologies to enhance system capabilities.</li></ul>QualificationsBachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or related field.Required Skills<ul><li>3&ndash;5 years of hands-on experience in AI/ML development, preferably in NLP, document automation, or conversational AI.</li><li>Strong proficiency in Python and AI/ML frameworks (PyTorch, TensorFlow, HuggingFace).</li><li>Experience with resume parsing, document automation, or information extraction systems.</li><li>Familiarity with LLM architectures, fine-tuning, and deployment.</li><li>Knowledge of Computer Vision techniques and tools for document or image processing.</li><li>Excellent problem-solving skills and ability to deliver production-ready AI applications.</li><li>Strong communication skills and ability to work collaboratively in a fast-paced environment.</li></ul>Job Type: Full-timePay: Rs130,000.00 - Rs160,000.00 per monthWork Location: In person

AI Lead Engineer

Systems Limited

<div>
 
 
 Experience required:
 
 5-8 Years
 
 
 
 Location
 
 : Islamabad
 
 
 
 
 
 Systems Limited is seeking a highly motivated
 
 AI Engineer
 
 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 Engineer

Explore 1932+ Lead ai engineer in Pakistan this March. Find roles across top companies and apply now to boost your career.

1932 lead ai engineer jobs In Pakistan

Lead AI Engineer

Lead AI Engineer

Data & AI Presales Lead

AI Engineer – AI Automation (Night Shift)

GTM Engineer

AI Lead Engineer

AI Engineer