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ai datacenter infrastructure project technical head humain program

Qiddiya Investment Company

<div>We are seeking a dynamic and experienced Project Manager to oversee the implementation of innovative smart city services. This role is critical in coordinating and managing Qiddiya&rsquo;s smart city delivery projects, integrating technology and infrastructure to create efficient, sustainable, district-level urban environments.
The ideal candidate is not expected to be deeply technical but should possess a strong understanding of the Master System Integrator (MSI) lifecycle, including design-build-operate and design-build-transfer models. Additionally, the candidate should be well-versed in artefact delivery and review processes, ensuring high-quality project execution.
Focus Area
Visitor and Resident Experience 
This role focuses on software platforms, AI integration, and data-driven services that enhance city operations and elevate the overall experience for residents and visitors.
Key Responsibilities<ul><li>
Lead the end-to-end delivery of cloud, hybrid, and on-premises applications, including AI-driven operational solutions.
</li><li>Drive benefit realization by ensuring digital solutions are effectively adopted by city departments (e.g., City Operations, Security Operations) to achieve measurable ROI.
</li><li>Manage Agile and DevOps delivery cycles, ensuring key governance gates (e.g., data privacy, ethical compliance) are met without impacting delivery timelines.
</li><li>Represent City Operations IT in Asset Infrastructure Design &amp; Delivery and Technical Design Working Groups to ensure cross-functional alignment.
</li><li>Navigate and manage the technical stage-gate process for physical assets, ensuring full compliance with architecture and security requirements prior to deployment.
</li><li>Coordinate with cross-functional stakeholders to ensure seamless integration between digital systems and physical infrastructure.
</li><li>Oversee the Master System Integrator (MSI) lifecycle, including design, build, operate, and transfer phases of smart city services.
</li><li>Ensure rigorous quality control of all project deliverables through structured artefact review processes aligned with international standards.
</li><li>Collaborate with Qiddiya Technology (QTECH), districts, and business units to manage system integration and smart service deployment.
</li><li>Provide strategic insights, progress updates, and performance reporting to executive leadership and the QIC City Operations IT PMO.
</li><li>Lead procurement activities, including RFP development, vendor selection, regulatory compliance, and stakeholder engagement.
</li><li>Maintain comprehensive project documentation, ensuring transparency through high-quality reporting and audit-ready records.</li></ul> 

Requirements 
<ul><li>
Bachelor&rsquo;s degree in Business Administration, Management, or a related field.
</li><li>Minimum of 10+ years of experience as a Programme/Project Manager, preferably within smart city initiatives or large-scale infrastructure projects.
</li><li>Strong understanding of the Master System Integrator (MSI) lifecycle, including design-build-operate and design-build-transfer models.
</li><li>Proven experience in managing the delivery and review of project artefacts in complex environments.
</li><li>Solid understanding of systems integration and smart service deployment within urban ecosystems.
</li><li>Demonstrated leadership, communication, and organisational capabilities.
</li><li>Ability to collaborate effectively with cross-functional teams and diverse stakeholders.
</li><li>Strategic thinker with strong analytical and problem-solving skills.
</li><li>Experience managing AI/ML project lifecycles and ensuring data interoperability across multiple departments and systems.
</li><li>Professional certifications in MSP, P3O, and MoP.
</li><li>Proficiency in project management tools such as MS Project and Primavera P6.
</li></ul>Preferred Qualifications<ul><li>
PMP, PRINCE2, or equivalent project management certification.
</li><li>Experience in system verification, validation, and commissioning processes.
</li><li>Strong knowledge of change management practices and user-centric design principles.
</li><li>Proficiency in ACONEX or similar project/document management platforms.</li></ul></div>

Senior Manager - Project Manager - Digital Transformation and Value (DEL3)

InnovationTeam

<div>InnovationTeam is a forward-thinking technology company specialized in delivering advanced AI-driven solutions for enterprises and government organizations. We are currently seeking a highly skilled AI Team Lead to join our team onsite in Saudi Arabia.
As an AI Team Lead at InnovationTeam, you will be responsible for leading the design, development, implementation, and delivery of end-to-end AI solutions across multiple domains, including Generative AI, machine learning, deep learning, data science, computer vision, NLP, intelligent automation, and enterprise AI systems.
This role is not limited to Generative AI. It requires a strong technical background across modern AI technologies, hands-on experience in building production-ready AI solutions, and the leadership capability to manage AI engineers, data scientists, ML engineers, and cross-functional delivery teams.
The ideal candidate is a strong technical leader who can translate business requirements into scalable AI solutions, manage project execution, guide technical teams, communicate with stakeholders, and ensure successful delivery of AI initiatives within scope, timeline, and quality standards.
At InnovationTeam, we value innovation, ownership, collaboration, and continuous learning. We provide a dynamic work environment where technical excellence, leadership, and business impact are highly recognized. 
Requirements 
We are seeking an experienced AI Team Lead to lead onsite AI delivery in Saudi Arabia. The role involves managing AI projects, supervising technical teams, designing AI architectures, developing enterprise-grade solutions, and ensuring successful deployment of AI systems into production.
The candidate should have strong experience in Generative AI, machine learning, deep learning, data science, AI solution architecture, MLOps/LLMOps, cloud deployment, and project management.
Key Responsibilities<ul><li>
Lead the AI team in designing, developing, and delivering enterprise AI solutions.</li><li>
Manage AI projects from requirement gathering to production deployment.</li><li>
Translate business needs into technical AI solution designs and implementation plans.</li><li>
Design and supervise solutions involving Generative AI, LLMs, RAG systems, AI agents, NLP, machine learning, deep learning, and computer vision.</li><li>
Lead data science initiatives, including data analysis, feature engineering, model development, evaluation, and optimization.</li><li>
Build and oversee end-to-end AI pipelines, including data ingestion, preprocessing, model training, inference, monitoring, and continuous improvement.</li><li>
Guide the implementation of machine learning and deep learning models using frameworks such as PyTorch, TensorFlow, Scikit-learn, and related tools.</li><li>
Supervise the development of AI agents, chatbots, recommendation systems, classification models, predictive analytics, and intelligent automation solutions.</li><li>
Define AI architecture, integration patterns, APIs, microservices, and deployment strategies.</li><li>
Ensure AI solutions are scalable, secure, reliable, cost-efficient, and production-ready.</li><li>
Collaborate with business stakeholders, product teams, data teams, software engineers, and cloud teams.</li><li>
Manage task allocation, technical reviews, project milestones, risks, and delivery timelines.</li><li>
Establish best practices for MLOps, LLMOps, model governance, model monitoring, documentation, and quality assurance.</li><li>
Support presales and client discussions by providing technical input, solution proposals, effort estimation, and feasibility assessments.</li><li>
Ensure AI solutions comply with security, privacy, governance, and responsible AI principles.</li><li>
Mentor and coach AI engineers, ML engineers, data scientists, and junior team members.</li><li>
Stay up to date with the latest developments in AI, machine learning, deep learning, Generative AI, cloud AI services, and enterprise AI platforms.</li></ul>
Required Skills &amp; Qualifications<ul><li>
Minimum 5 years of professional experience in AI, machine learning, data science, or related technology fields.</li><li>
Minimum 2&ndash;3 years of experience leading AI teams or managing AI solution delivery.</li><li>
Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Computer Engineering, or a related field.</li><li>
Strong hands-on experience in machine learning, deep learning, NLP, Generative AI, and data science.</li><li>
Solid understanding of LLMs, RAG architectures, AI agents, vector databases, prompt engineering, and model evaluation.</li><li>
Strong experience with Python and AI/ML frameworks such as PyTorch, TensorFlow, Scikit-learn, Hugging Face, LangChain, or LlamaIndex.</li><li>
Experience in building and deploying ML/DL models for real-world enterprise use cases.</li><li>
Strong understanding of supervised learning, unsupervised learning, classification, regression, clustering, recommendation systems, forecasting, and anomaly detection.</li><li>
Experience with data preparation, data quality assessment, feature engineering, model training, validation, testing, and performance monitoring.</li><li>
Strong software engineering knowledge, including REST APIs, microservices, Docker, Kubernetes, CI/CD, and Git.</li><li>
Experience deploying AI workloads on cloud platforms such as OCI, Azure, AWS, or GCP. OCI experience is preferred.</li><li>
Knowledge of MLOps and LLMOps practices, including model versioning, monitoring, retraining, evaluation, and deployment automation.</li><li>
Strong project management skills, including planning, estimation, risk management, stakeholder communication, and delivery tracking.</li><li>
Ability to communicate complex technical concepts clearly to business and technical stakeholders.</li><li>
Excellent problem-solving, analytical, leadership, and decision-making skills.</li><li>
Excellent command of English, both written and spoken.</li><li>
Willingness to work onsite in Saudi Arabia.</li></ul>
Nice to Have<ul><li>
Experience in government, healthcare, finance, telecom, or regulated enterprise environments.</li><li>
Experience with GPU-based model training and inference optimization.</li><li>
Experience with computer vision, OCR, document AI, speech AI, or multimodal AI systems.</li><li>
Experience with Azure OpenAI, Oracle AI Services, AWS Bedrock, Google Vertex AI, or similar enterprise AI platforms.</li><li>
Knowledge of AI governance, responsible AI, data privacy, cybersecurity, and compliance frameworks.</li><li>
Experience in presales, technical proposal preparation, and client-facing solution presentations.</li><li>
Arabic language skills are an advantage.</li></ul> 

Benefits 
<ul><li>
Opportunity to lead strategic AI initiatives in Saudi Arabia.</li><li>
Work on advanced AI solutions across Generative AI, machine learning, deep learning, and data science.</li><li>
Leadership role with direct impact on enterprise and government AI transformation projects.</li><li>
Collaborative and innovation-driven work environment.</li><li>
Competitive compensation package.</li><li>
Access to modern AI infrastructure, cloud platforms, and enterprise data environments.</li><li>
Professional growth, leadership development, and continuous learning opportunities.</li></ul></div>

AI Team Lead

VaporVM

<div><div><div>Date Posted:</div>
11 June, 2026</div>
<div><div>Industry:</div>
IT Services and IT Consulting</div>
<div><div>Location:</div>
VaporVM</div></div>
 <div><h2 class="jobSectionHeader">Job Description:</h2>
<div><h1 class="jobSectionHeader">Senior HPC / Infrastructure Engineer</h1>

Location: Riyadh, Saudi Arabia

Employment Type: Full-Time

Experience: 10+ Years (Hands-On)
<h2 class="jobSectionHeader">
Position Overview</h2>

We are seeking a highly experienced Senior HPC / Infrastructure Engineer with proven expertise in designing, deploying, and operating enterprise-scale High-Performance Computing (HPC) and AI infrastructure environments. This role is ideal for a hands-on technical leader who has built and managed production-grade HPC platforms, GPU clusters, Kubernetes ecosystems, and AI infrastructure from the ground up.

The successful candidate will play a critical role in architecting, optimizing, and maintaining mission-critical compute environments that support advanced AI/ML, data science, and high-performance workloads.
<h2 class="jobSectionHeader">
Required Certifications</h2>
<ul><li>RHCE &ndash; Red Hat Certified Engineer (Active)</li>
<li>CKA &ndash; Certified Kubernetes Administrator (Active)</li>
</ul><h2 class="jobSectionHeader">Core Technical Expertise</h2>
<h3 class="jobSectionHeader">HPC &amp; NVIDIA AI Ecosystem</h3>
<ul><li>NVIDIA Base Command Manager (BCM)</li>
<li>NVIDIA AI Enterprise</li>
<li>NVIDIA GPU Operator &amp; Network Operator</li>
<li>NVIDIA NIM Inference Services</li>
<li>NVIDIA AI Blueprints</li>
<li>CUDA, GPU Drivers, and Performance Optimization</li>
</ul><h3 class="jobSectionHeader">Compute &amp; Container Platforms</h3>
<ul><li>Kubernetes (Architecture, Operations &amp; Scaling)</li>
<li>Slurm Workload Manager</li>
<li>Distributed Computing Environments</li>
</ul><h3 class="jobSectionHeader">Operating Systems</h3>
<ul><li>Red Hat Enterprise Linux (RHEL)</li>
<li>Ubuntu LTS (Canonical)</li>
</ul><h3 class="jobSectionHeader">Automation &amp; DevOps</h3>
<ul><li>CI/CD Pipeline Design &amp; Implementation</li>
<li>Infrastructure Automation</li>
<li>Platform Lifecycle Management</li>
<li>Configuration Management &amp; Orchestration</li>
</ul><h2 class="jobSectionHeader">Key Responsibilities</h2>
<ul><li>Design, deploy, and operate large-scale HPC and AI infrastructure environments from bare metal through workload orchestration.</li>
<li>Architect and manage NVIDIA GPU platforms, including BCM, AI Enterprise, GPU Operator, and AI service enablement.</li>
<li>Configure, optimize, and maintain Slurm scheduling environments for high-throughput and GPU-intensive workloads.</li>
<li>Design and operate highly available Kubernetes clusters supporting AI/ML, analytics, and containerized workloads.</li>
<li>Enable and support NVIDIA NIM services and AI Blueprint deployments for enterprise AI initiatives.</li>
<li>Administer and optimize RHEL and Ubuntu environments, ensuring stability, security, and performance.</li>
<li>Develop and maintain infrastructure automation frameworks and CI/CD pipelines for platform and application deployment.</li>
<li>Optimize performance across compute, GPU, storage, networking, and cluster resources.</li>
<li>Implement monitoring, observability, alerting, capacity planning, and operational best practices.</li>
<li>Enforce security, patch management, access controls, and compliance standards across the infrastructure stack.</li>
<li>Lead troubleshooting, root cause analysis, and resolution of complex infrastructure and platform issues.</li>
</ul><h2 class="jobSectionHeader">Candidate Profile</h2>
<ul><li>10+ years of hands-on experience in HPC, Linux infrastructure, and enterprise platform engineering.</li>
<li>Proven track record of building and operating production-scale HPC, GPU, or AI infrastructure environments.</li>
<li>Deep expertise in Kubernetes, Slurm, Linux administration, and NVIDIA AI technologies.</li>
<li>Strong understanding of distributed systems, workload scheduling, cluster management, and performance optimization.</li>
<li>Experience supporting AI/ML, data science, and high-performance computing workloads at scale.</li>
<li>Strong analytical, troubleshooting, and problem-solving skills.</li>
<li>Ability to work across infrastructure, platform, automation, and AI enablement domains.</li>
<li>Demonstrated ownership mindset with a history of delivering reliable, scalable, and high-performing solutions.</li></ul></div></div>

Senior Infrastructure / HPC

Confidential Government

<div>
 
 
 Key Responsibilities
 
 
 
 
 
 
 &bull; Lead, direct, and oversee the department&rsquo;s operations, ensuring operational efficiency, quality of deliverables, and achievement of departmental objectives.
 
 
 &bull; Align departmental activities, priorities, and resources with organizational goals and strategic direction.
 
 
 &bull; Develop and monitor departmental plans, reports, budgets, and performance objectives to ensure effective execution and accountability.
 
 
 &bull; Oversee workforce planning, resource allocation, and operational requirements to support current and future business needs.
 
 
 &bull; Review, approve, and prioritize projects, studies, and technical initiatives within the department, ensuring alignment with organizational priorities.
 
 
 &bull; Manage the allocation and utilization of consultants, contractors, and specialized resources to optimize delivery capacity and project outcomes.
 
 
 &bull; Monitor the progress of departmental initiatives, assignments, and action plans to ensure timely completion and quality execution.
 
 
 &bull; Review and approve key departmental deliverables, technical reports, studies, assessments, and recommendations.
 
 
 &bull; Lead talent management activities, including recruitment, onboarding, performance management, coaching, succession planning, and employee development.
 
 
 &bull; Establish and monitor departmental Key Performance Indicators (KPIs), identify improvement opportunities, and drive continuous improvement initiatives.
 
 
 &bull; Ensure proper documentation, records management, and maintenance of departmental reports, studies, technical documents, and project information.
 
 
 &bull; Contribute to long-term infrastructure planning and capacity assessments to support organizational growth and operational requirements.
 
 
 &bull; Participate in cross-functional technical committees, working groups, and strategic initiatives related to infrastructure development and optimization.
 
 
 &bull; Develop and implement strategies, frameworks, and plans to ensure the availability, reliability, and sustainability of infrastructure assets and services.
 
 
 &bull; Identify and mitigate operational and infrastructure-related risks while ensuring compliance with applicable standards, regulations, and governance requirements.
 
 
 
 
 
 
 Qualifications
 
 
 
 
 
 
 &bull; Bachelor&rsquo;s degree in Civil Engineering, Electrical Engineering, Mechanical Engineering, Industrial Engineering, Infrastructure Engineering, or a related field.
 
 
 &bull; Master&rsquo;s degree in Engineering Management, Business Administration (MBA), Project Management, or a related discipline is preferred.
 
 
 &bull; Minimum of 8years of relevant experience in infrastructure planning, engineering, utilities, capital projects, asset management, or related fields.
 
 
 &bull; Minimum of 3 years in a managerial or leadership role.
 
 
 &bull; Professional certifications such as PMP, PgMP, PMI-PMOCP, PE, PRINCE2, Asset Management, or equivalent are preferred.
 
 
 
 
 
 
 Required Skills &amp; Competencies
 
 
 
 
 
 
 &bull; Infrastructure Planning and Development.
 
 
 &bull; Strategic Planning and Execution.
 
 
 &bull; Project and Program Management.
 
 
 &bull; Resource and Capacity Planning.
 
 
 &bull; Asset Management and Lifecycle Planning.
 
 
 &bull; Leadership and Team Development.
 
 
 &bull; Stakeholder Management and Cross-functional Collaboration.
 
 
 &bull; Risk Management and Business Continuity.
 
 
 &bull; Performance Management and KPI Development.
 
 
 &bull; Budget Planning and Financial Oversight.
 
 
 &bull; Problem Solving and Decision Making.
 
 
 &bull; Governance, Compliance, and Quality Management.
 
 
 &bull; Strong Analytical and Reporting Skills.
 
 
 &bull; Excellent Communication and Executive Presentation Skills.
 
 
 &bull; Advanced proficiency in Microsoft Office Suite and project management tools.
 
 
 &bull; Fluent in Arabic and English (written and spoken).
 
</div>

Director of Infrastructure

JODAYN

<div>Jodayn is seeking a highly skilled Senior AI Product Engineer to lead the design, development, and deployment of enterprise-grade artificial intelligence solutions and intelligent automation platforms.
The successful candidate will play a critical role in developing scalable AI-powered products and reusable enterprise AI services that support digital transformation, governance automation, proposal evaluation, intelligent document processing, and enterprise workflow optimisation.
This role requires a strong engineering mindset combined with hands-on experience in modern AI frameworks, large language model integration, AI orchestration, backend engineering, and enterprise solution development.
The ideal candidate must be capable of independently designing and delivering production-ready AI systems in fast-paced enterprise environments. 
Requirements 
AI Platform Engineering<ul><li>
Design, develop, and maintain scalable enterprise AI platforms and intelligent automation solutions</li><li>
Build modular and reusable AI services and APIs</li><li>
Develop AI-powered workflow automation systems and intelligent orchestration pipelines</li><li>
Design and implement scalable backend architectures supporting AI workloads</li></ul>
Agentic AI Development<ul><li>
Build autonomous and semi-autonomous AI agents</li><li>
Develop multi-agent orchestration workflows and task delegation systems</li><li>
Implement memory management and contextual reasoning capabilities</li><li>
Integrate AI systems with external tools, APIs, and enterprise applications</li></ul>
Large Language Model Integration<ul><li>
Integrate and optimise large language model services including Claude, OpenAI, and open-source models</li><li>
Develop prompt orchestration pipelines and retrieval-augmented generation architectures</li><li>
Implement vector database integration and semantic search capabilities</li><li>
Optimise model performance, response quality, and operational efficiency</li></ul>
Enterprise System Integration<ul><li>
Integrate AI platforms with enterprise systems, collaboration tools, and document repositories</li><li>
Develop secure API integration patterns</li><li>
Support authentication and identity integration requirements</li><li>
Build AI-enabled enterprise workflow capabilities</li></ul>
Proposal &amp; Compliance Automation<ul><li>
Develop intelligent proposal generation and evaluation systems</li><li>
Build compliance validation and document inspection workflows</li><li>
Implement AI-assisted scoring and recommendation engines</li><li>
Support enterprise governance automation initiatives</li></ul>
Infrastructure &amp; Deployment<ul><li>
Deploy AI applications in cloud, hybrid, and on-premise environments</li><li>
Configure logging, observability, monitoring, and operational diagnostics</li><li>
Support containerisation and deployment automation practices</li><li>
Optimise infrastructure scalability and operational cost efficiency</li></ul> 
Required Qualifications
Education<ul><li>
Bachelor&rsquo;s degree in Computer Science, Software Engineering, Artificial Intelligence, or related field</li><li>
Master&rsquo;s degree is preferred but not mandatory</li></ul>
Experience<ul><li>
Minimum 7 years of software engineering experience</li><li>
Minimum 3 years practical experience developing AI-powered applications</li><li>
Proven experience building and deploying production-grade AI systems</li><li>
Experience working in enterprise or regulated environments preferred</li></ul>
Required Technical Skills
Programming &amp; Backend Development<ul><li>
Python</li><li>
FastAPI or equivalent backend frameworks</li><li>
RESTful APIs</li><li>
PostgreSQL or equivalent databases</li><li>
Git and version control systems</li></ul>
AI Technologies<ul><li>
Claude APIs</li><li>
OpenAI APIs</li><li>
LangGraph</li><li>
LangChain</li><li>
Retrieval-Augmented Generation</li><li>
Vector databases</li><li>
Prompt orchestration</li><li>
AI workflow automation</li></ul>
Frontend &amp; Integration<ul><li>
React or Next.js</li><li>
API integration</li><li>
Authentication and access control concepts</li></ul>
Infrastructure &amp; DevOps<ul><li>
Docker</li><li>
Linux environments</li><li>
CI/CD pipelines</li><li>
Cloud deployment concepts</li></ul>
Preferred Skills<ul><li>
Experience with enterprise AI governance solutions</li><li>
Experience with intelligent document processing systems</li><li>
Experience using AI-assisted development tools</li><li>
Exposure to multi-agent systems and orchestration frameworks</li><li>
Familiarity with enterprise architecture concepts</li></ul> 
Core Competencies<ul><li>
Strong analytical and problem-solving skills</li><li>
Ability to independently deliver complex technical solutions</li><li>
Strong software design capability</li><li>
Fast execution and delivery orientation</li><li>
Excellent communication and documentation skills</li><li>
Ability to work in fast-paced enterprise environments</li></ul></div>

Senior AI Product Engineer

Lenovo

<div>
 We are Lenovo. We do what we say. We own what we do. We WOW our customers.
 
 
 Lenovo is a US$83 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world&rsquo;s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo&rsquo;s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).
 
 
 This transformation together with Lenovo&rsquo;s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.
 
 
 Join Lenovo&rsquo;s Infrastructure Solutions Group (ISG) as a
 
 Staff Manufacturing Engineer
 
 and play a key role in shaping the future of server hardware testing. In this role, you will lead process optimization, introduce advanced testing technologies, and ensure top-quality standards for enterprise-level solutions. This position offers the opportunity to collaborate with cross-functional teams and drive innovation in a global environment.
 
 
 
 Your Responsibilities
 
 
 
 <ul>
 <li>
 Design and optimize assembly process workflows, including the design and validation of related fixtures and tooling; prepare and maintain process documentation.
 </li>
 <li>
 Participate in new product trial builds, troubleshoot functional and structural issues during pilot runs, and complete issue reports.
 </li>
 <li>
 Respond quickly to and resolve technical problems on the production line, applying root cause analysis and implementing corrective and preventive actions.
 </li>
 <li>
 Lead or support continuous improvement projects focused on efficiency, quality, and cost reduction.
 </li>
 <li>
 Collaborate closely with Production, Quality, and Product Development teams to ensure effective implementation of process requirements.
 
 
 </li>
 </ul>
 
 Position Requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree or above in Mechanical Engineering, Automation, Industrial Engineering, or related fields.
 </li>
 <li>
 Minimum 5 years of experience in manufacturing or process engineering; experience in Server/ PC/notebook or consumer electronics assembly is preferred.
 </li>
 <li>
 Strong knowledge of mechanical assembly tolerance analysis and ability to independently design fixtures.
 </li>
 <li>
 Proficient in engineering design software such as CAD and SolidWorks.
 
 
 </li>
 </ul>
 
 What Can We Offer You
 
 
 
 <li>
 An international team with a high focus on Gender Diversity.
 </li>
 <ul>
 <li>
 Employee Assistance Program for psychological, legal, and financial consultancy.
 </li>
 <li>
 A company committed to sustainability through CO2 Offset, Asset Recovery Services, and Lenovo Certified Refurbished portfolio.
 </li>
 <li>
 Access to training for personal development via our internal e-learning platform.
 </li>
 <li>
 Mentorship program to support your career growth.
 
 
 </li>
 </ul>
 
 We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.
 
</div>

ISG Staff Manufacturing Engineer

exceptional interior decoration

Position: AI &amp; Digital Transformation ManagerPosition OverviewThe AI &amp; Digital Transformation Manager will be responsible for identifying, implementing, managing, and training staff on Artificial Intelligence tools and digital solutions that improve efficiency, quality, productivity, and operational excellence across all departments of the company.The role focuses on integrating AI technologies into daily business operations, project management processes, proposal development, design coordination, reporting systems, procurement workflows, and client communications.The successful candidate will act as the company&rsquo;s internal AI expert and innovation leader, ensuring that technology delivers measurable business value.Key ResponsibilitiesAI Strategy &amp; Implementation:<ul><li>Identify and evaluate emerging AI platforms and technologies.</li><li>Develop and implement the company&rsquo;s AI adoption roadmap.</li><li>Continuously research new AI tools relevant to construction, project management, hospitality, design, and consultancy sectors.</li><li>Ensure all implemented solutions align with company objectives and workflows.</li></ul>Business Process AutomationImplement AI-driven solutions for:<ul><li>Email drafting and communication.</li><li>Meeting minutes generation.</li><li>Action tracker creation.</li><li>Automated reminders and follow-ups.</li><li>Proposal generation.</li><li>Scope of work preparation.</li><li>Project reporting.</li><li>Risk register management.</li><li>Procurement tracking.</li><li>Submittal logs.</li><li>RFI management.</li><li>Document control.</li><li>Knowledge management systems.</li></ul>Construction &amp; Project Management ApplicationsImplement AI solutions that support:<ul><li>Bill of Quantities (BOQ) generation.</li><li>Quantity take-offs.</li><li>Cost estimation.</li><li>Value engineering exercises.</li><li>Procurement planning.</li><li>Construction reporting.</li><li>Project scheduling assistance.</li><li>Risk analysis.</li><li>Contract review.</li><li>Tender evaluations.</li></ul>Design &amp; Creative ApplicationsImplement AI solutions for:<ul><li>Mood board creation.</li><li>Concept development.</li><li>Material selection support.</li><li>Design presentations.</li><li>Rendering assistance.</li><li>Image generation.</li><li>Visual storytelling.</li><li>Marketing content creation.</li></ul>Staff Training &amp; Change Management:<ul><li>Train all employees on approved AI tools.</li><li>Develop internal AI training manuals and SOPs.</li><li>Conduct workshops and awareness sessions.</li><li>Measure adoption rates and productivity improvements.</li><li>Provide ongoing technical support.</li></ul>Knowledge ManagementDevelop and maintain:<ul><li>Company AI knowledge base.</li><li>Prompt libraries.</li><li>Proposal templates.</li><li>Report templates.</li><li>Project execution templates.</li><li>Lessons learned databases.</li><li>AI-assisted SOP repositories.</li></ul>Performance Monitoring:<ul><li>Track ROI of AI initiatives.</li><li>Measure productivity gains.</li><li>Identify areas for further automation.</li><li>Produce monthly AI performance reports.</li></ul>Key AI Platforms (Expected Experience)Productivity:<ul><li>ChatGPT</li><li>Microsoft Copilot</li><li>Gemini</li><li>Claude</li><li>Notion AI</li></ul>Automation:<ul><li>Zapier</li><li>Make.com</li><li>n8n</li><li>Power Automate</li><li>Design:</li><li>Midjourney</li><li>DALL-E</li><li>Adobe Firefly</li><li>Canva AI</li></ul>Construction &amp; Project Management:<ul><li>Autodesk Construction Cloud</li><li>Procore</li><li>Bluebeam</li><li>PlanSwift</li><li>Togal.AI</li><li>OpenSpace</li></ul>Data &amp; Reporting:<ul><li>Power BI</li><li>Looker Studio</li><li>Airtable</li><li>Excel AI</li><li>KPIs</li></ul>The employee will be evaluated based on:<ul><li>Number of AI solutions successfully implemented.</li><li>Reduction in administrative workload.</li><li>Improvement in proposal preparation time.</li><li>Reduction in report preparation time.</li><li>Staff adoption rate.</li><li>Productivity improvements achieved.</li><li>Cost savings generated.</li><li>Quality improvements across deliverables.</li></ul>Ideal Candidate Profile:<ul><li>Bachelor&rsquo;s Degree in Engineering, Information Technology, Computer Science, Business Technology, or related field.</li><li>Minimum 5 years of experience in AI implementation, digital transformation, automation, or business process optimization.</li><li>Experience within construction, consultancy, hospitality, architecture, or project management sectors is highly preferred.</li><li>Strong understanding of Large Language Models (LLMs), workflow automation, prompt engineering, and AI integration.</li><li>Excellent training and communication skills.</li></ul>What This Role Will Build for Exceptional?Within the first 12 months, this person should aim to create:<ul><li>An AI-powered proposal generation system.</li><li>AI-generated weekly project reports.</li><li>AI-assisted BOQ and cost-estimation workflows.</li><li>AI meeting assistant for minutes and action tracking.</li><li>AI-powered procurement tracking dashboard.</li><li>AI knowledge base containing all company SOPs, templates, and best practices.</li><li>AI training program for all staff.</li></ul>www.exceptional-pm.comWork Location: In person

AI & Digital Transformation Manager

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