artificial intelligence specialist

MASTER-WORKS

<div><p>Our subsidiary (Nabeh) is seeking an <b>AI Solution, Engineer</b> who combines strong technical knowledge in AI and software engineering with excellent customer-facing and presentation skills. The role will work closely with Sales, Product, and Engineering teams to understand customer requirements, define solution scope, build Proofs of Concept, demonstrate AI products, and translate business needs into practical technical solutions.</p><p></p><b>
Key Responsibilities:</b><ul><li>
Build and deliver AI Proofs of Concept and technical prototypes.</li><li>
Support Sales during customer meetings, workshops, and product demonstrations.</li><li>
Understand customer requirements and translate them into clear technical and product scopes.</li><li>
Evaluate AI models and technologies based on accuracy, performance, and business needs.</li><li>
Prepare high-level solution architectures, workflows, and technical documentation.</li><li>
Support technical proposals, RFPs, and RFIs.</li><li>
Define POC success criteria, assumptions, limitations, and dependencies.</li><li>
Coordinate with Product and Engineering teams to ensure smooth project handover.</li><li>
Collect customer feedback and recommend product enhancements.</li><li>
Communicate technical capabilities and limitations to technical and non-technical stakeholders.</li></ul><br>
<b>
Requirements</b><br>
<ul><li>
Bachelor&rsquo;s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field.</li><li>
+3 years of experience in AI engineering, software engineering, solution engineering, or technical pre-sales.</li><li>
Strong knowledge of AI, machine learning, Generative AI, and software development.</li><li>
Hands-on experience with Python, APIs, databases, and backend development.</li><li>
Familiarity with LLMs, RAG, computer vision, speech AI, or document intelligence.</li><li>
Ability to build prototypes and integrate AI models into applications.</li><li>
Strong communication, presentation, and problem-solving skills.</li><li>
Ability to translate business requirements into practical technical solutions.</li><li>
Native Arabic speaker is mandatory.</li><li>
Strong professional proficiency in English is required.</li></ul><p></p><p><b>
Preferred Skills</b></p><ul><li>
FastAPI, Flask, or Django</li><li>
PostgreSQL and vector databases</li><li>
Docker and Kubernetes</li><li>
Cloud and on-premises AI deployments</li><li>
AI model serving and GPU infrastructure</li><li>
Product demonstrations and technical proposal writing</li></ul><p></p><p><b>
Job location: </b>HQ</p><p></p><b><br>
Benefits</b></div><p></p>

AI Solution, Engineer

HUED | هيود

<div>
 <p>
  <strong>
   Job Summary
  </strong>
 </p>
 <p>
  We are seeking an experienced AI Applications / Solutions Engineer to design, build, and deploy intelligent solutions powered by modern AI technologies. The ideal candidate will have strong expertise in Large Language Models (LLMs), Generative AI (GenAI), and Retrieval-Augmented Generation (RAG) systems, with the ability to integrate AI models with enterprise data and business workflows.
 </p>
 <p>
  This role requires a strong software engineering background combined with hands-on experience in developing scalable AI-driven applications, optimizing model performance, and delivering production-ready solutions.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Design, develop, and deploy AI-powered applications using Large Language Models (LLMs) and Generative AI technologies.
  </li>
  <li>
   Build and optimize Retrieval-Augmented Generation (RAG) pipelines integrated with enterprise data sources.
  </li>
  <li>
   Develop effective prompt engineering strategies to improve AI output quality, consistency, and reliability.
  </li>
  <li>
   Prepare and process structured and unstructured datasets for AI model consumption, including data cleaning, chunking, and embedding generation.
  </li>
  <li>
   Integrate AI systems with internal platforms, APIs, and business applications.
  </li>
  <li>
   Work with vector databases such as Pinecone or FAISS for semantic search and knowledge retrieval.
  </li>
  <li>
   Evaluate model performance and continuously improve solution accuracy, latency, and scalability.
  </li>
  <li>
   Collaborate with cross-functional teams to identify AI use cases and deliver business-driven solutions.
  </li>
  <li>
   Stay updated with the latest advancements in AI, LLMs, and GenAI technologies.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Requirements
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree in computer science, Software Engineering, AI, or a related field.
  </li>
  <li>
   Minimum 4 years of software development experience.
  </li>
  <li>
   Recent hands-on experience in Artificial Intelligence, particularly in LLM and GenAI applications.
  </li>
  <li>
   Strong understanding of Large Language Models (LLMs) and their practical applications.
  </li>
  <li>
   Proven experience in designing and implementing Generative AI solutions.
  </li>
  <li>
   Strong experience in Prompt Engineering.
  </li>
  <li>
   Hands-on experience building RAG solutions.
  </li>
  <li>
   Strong proficiency in Python.
  </li>
  <li>
   Experience in data preparation for AI systems (Cleaning, Chunking, Embedding).
  </li>
  <li>
   Experience working with vector databases such as Pinecone or FAISS.
  </li>
  <li>
   Familiarity with Fine-Tuning techniques is a strong plus.
  </li>
 </ul>
</div>


Artificial Intelligence Engineer

Proven

<p><b>Key Responsibilities:</b></p><ul><li>Design and develop AI/ML models for real-world applications</li><li>Build and deploy scalable machine learning pipelines</li><li>Work with large datasets for training, validation, and optimization</li><li>Develop and integrate NLP, computer vision, or predictive analytics solutions (as required)</li><li>Collaborate with data engineers, software developers, and product teams</li><li>Optimize model performance and ensure production readiness</li><li>Stay updated with latest AI frameworks and technologies</li></ul><p><b>Requirements:</b></p><ul><li>Minimum <b>5 years of experience in AI/ML development</b></li><li>Strong experience with Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn)</li><li>Solid understanding of machine learning, deep learning, and statistical modeling</li><li>Experience with data preprocessing, feature engineering, and model evaluation</li><li>Familiarity with deploying models in cloud environments (AWS / Azure / GCP)</li><li>Strong problem-solving and analytical skills</li></ul><p><b>Preferred:</b></p><ul><li>Experience with NLP, LLMs, or computer vision</li><li>Knowledge of MLOps tools (Docker, Kubernetes, MLflow)</li><li>Experience working in agile product teams</li></ul><p>Pay: ﷼13,000.00 - ﷼16,000.00 per month</p><p>Work Location: In person</p>

AI Developer

QuantumBlack, AI by McKinsey

<div>
 <strong>
  Who You'll Work With
  <br/>
  <br/>
 </strong>
 Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
 <br/>
 <br/>
 In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues&mdash;at all levels&mdash;will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won&rsquo;t find anywhere else.
 <br/>
 <br/>
 When you join us, you will have:
 <br/>
 <br/>
 <ul>
  <li>
   Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
  </li>
  <li>
   A voice that matters: From day one, we value your ideas and contributions. You&rsquo;ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
  </li>
  <li>
   Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm&rsquo;s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you&rsquo;ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
  </li>
  <li>
   World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Your Impact
  <br/>
  <br/>
 </strong>
 As a Software Engineer with Tech &amp; AI at McKinsey, you will work with clients across a wide range of sectors and industries, advising them on how to best leverage technology.
 <br/>
 <br/>
 You will drive architectural design, make key technology decisions, and employ agile methodologies to build and deliver the next generation of products for our clients at scale.
 <br/>
 <br/>
 You will also lead project workstreams, helping clients build their technical capabilities and foster a culture centered around engineering best practices, user-centricity, and Agile values.
 <br/>
 <br/>
 As a core member of the team, you will take on responsibilities that include driving architectural design and making strategic technology decisions to shape next-generation products for various internal teams, ensuring that we remain at the forefront of technological innovation.
 <br/>
 <br/>
 Additionally, you will be hands-on and co-creating solutions alongside our clients and their leadership, enabling you to grow into a recognized technology leader.
 <br/>
 <br/>
 You will be part of the McKinsey Digital team in Riyadh, Saudi Arabia. This group brings together the best of McKinsey&rsquo;s digital capabilities to help our clients use digital technology to transform their businesses.
 <br/>
 <br/>
 McKinsey Digital is our tech delivery people unit. A global team of software, data and cloud engineers, passionate designers, technology architects, product owners, and leading technologists.
 <br/>
 <br/>
 You will join a multidisciplinary community of developers, Agile coaches, designers, business strategists and experts. Together, we will design and create industry shaping products and tools for our clients.
 <br/>
 <br/>
 While we advocate for using the right tech for the right task, we often leverage the following technologies: JavaScript, TypeScript, React.js, Angular.js, Next.js, Vue.js, Python, Java, C#, NodeJS, SQL, MongoDB, AWS, Azure, GCP, and more!
 <br/>
 <br/>
 Our office culture is casual and social, with an emphasis on education and innovation. You will have the freedom to try new ideas and experiment in your role and will be guaranteed significant dedicated time to tinker, create, continuously learn and share cool new stuff. We also have a strong emphasis in our teams on mentoring others enabling them to grow and learn.
 <br/>
 <br/>
 Changing the world requires us to sit with our clients at times, so some travel is expected in this role.
 <br/>
 <br/>
 <strong>
  Your Qualifications and Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Undergraduate or master&rsquo;s degree; or equivalent experience
  </li>
  <li>
   5+ years of experience in software development, with significant full-stack web application development experience strongly preferred
  </li>
  <li>
   Demonstrated knowledge and hands-on experience across the full application stack with some of the following languages/frameworks: JavaScript, TypeScript, React, Angular, Vue, jQuery, Java, Sprint, C#, .NET, Node.js, SQL, MySQL, SQL Server, MongoDB, cloud-native databases, AWS, Azure, GCP, Jenkins, Docker, Circle CI, Travis
  </li>
  <li>
   Experience leading in Agile teams, including coaching and modeling Agile mindsets as part of sprint ceremonies, work definition and building developer capabilities
  </li>
  <li>
   Experience working collaboratively with technical and non-technical team members and stakeholders including modeling and coaching others to use engineering best practices such as design patterns, customer-centric design, test-driven development, code refactoring, code review, and OWASP Top 10 security awareness
  </li>
 </ul>
</div>


Software Engineer II - QuantumBlack, AI by McKinsey

Unified Real Estate Development Company

<div>
 <p>
  <strong>
   Core Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Design and build the central data infrastructure (ClickHouse, data lake, or equivalent) that aggregates data from property management, leasing, finance, and operations systems.
  </li>
  <li>
   Integrate frontier LLMs (Claude, GPT-4, or equivalent) via API to serve as the reasoning and analysis layer on top of internal data.
  </li>
  <li>
   Build and maintain retrieval pipelines that intelligently select, filter, and deliver relevant data to the LLM within context window constraints.
  </li>
  <li>
   Develop internal tools, dashboards, or interfaces that allow non-technical staff to interact with AI-powered analysis.
  </li>
  <li>
   Implement proper data security, access controls, and compliance protocols &mdash; ensuring sensitive real estate and tenant data is handled appropriately.
  </li>
  <li>
   Architect systems with modularity in mind &mdash; LLM providers, data sources, and tools should be swappable as the landscape evolves.
  </li>
  <li>
   Monitor AI output quality and implement validation/feedback loops to catch hallucinations and errors.
  </li>
  <li>
   Stay current with AI developments and proactively recommend when new capabilities become relevant to Unified&rsquo;s operations.
  </li>
  <li>
   Document all systems, architectures, and processes thoroughly. Bus-factor risk must be minimized.
  </li>
 </ul>
 <p>
  <strong>
   Required Qualifications
  </strong>
 </p>
 <ul>
  <li>
   3&ndash;5 years of software engineering experience, with strong proficiency in Python.
  </li>
  <li>
   Hands-on experience building applications that integrate with LLM APIs (Anthropic, OpenAI, or similar).
  </li>
  <li>
   Practical knowledge of data engineering: ETL pipelines, SQL, working with structured and semi-structured data on scale.
  </li>
  <li>
   Experience with at least one of: ClickHouse, PostgreSQL, BigQuery, Snowflake, or comparable analytical databases.
  </li>
  <li>
   Understanding of retrieval-augmented generation (RAG) patterns, vector databases, and context management strategies.
  </li>
  <li>
   Familiarity with orchestration frameworks (LangChain, LlamaIndex, or custom equivalents).
  </li>
  <li>
   Ability to deploy and maintain production services (Docker, cloud infrastructure, CI/CD basics).
  </li>
  <li>
   Strong communication skills &mdash; you will need to explain technical constraints and trade-offs to non-technical stakeholders clearly.
  </li>
 </ul>
 <p>
  <strong>
   Preferred Qualifications
  </strong>
 </p>
 <ul>
  <li>
   Experience in real estate, property management, or construction technology is a strong plus but not required.
  </li>
  <li>
   Exposure to agent-based AI workflows and multi-step task orchestration.
  </li>
  <li>
   Experience with data visualization tools or building internal dashboards (Streamlit, Retool, or custom).
  </li>
  <li>
   Familiarity with Arabic language NLP or bilingual data environments.
  </li>
  <li>
   Previous experience working in small teams or startup-like environments where you owned projects end-to-end.
  </li>
 </ul>
 <p>
  <strong>
   What This Role Is Not
  </strong>
 </p>
 <ul>
  <li>
   This is not an ML research role. You will not be training or fine-tuning models. You will be implementing and integrating existing frontier models.
  </li>
  <li>
   This is not a pure data engineering role. You will build data infrastructure, but the goal is to power AI applications, not just maintain databases.
  </li>
  <li>
   This is not a management role. This is an individual contributor position with high autonomy and direct impact.
  </li>
 </ul>
 <p>
  <strong>
   Working Arrangement
  </strong>
 </p>
 <p>
  Based in Riyadh. You will participate in weekly rotating meetings with different departments (leasing, property management, finance, operations) alongside the AI Analyst to understand business needs and demonstrate progress. Expect a fast iteration cycle &mdash; the expectation is working prototypes, not lengthy planning phases.
 </p>
</div>


Datamatics Global Services Ltd

<div><h1 class="jobSectionHeader"><b>Senior AI Engineer (Arabic Speaker)</b></h1><p><b>
Location:</b> Riyadh, Saudi Arabia<br>
<b>Experience:</b> 6&ndash;8 Years<br>
<b>Employment Type:</b> Full-Time / Contract<br>
<b>Language Requirement:</b> Native or Fluent Arabic Speaker (Mandatory)</p><h2 class="jobSectionHeader"><b>
About the Role</b></h2><p>
We are seeking a highly skilled <b>Senior AI Engineer (Arabic Speaker)</b> to join our growing AI and Data Science team in Riyadh. The ideal candidate will have strong expertise in <b>Artificial Intelligence, Generative AI, Machine Learning Operations (MLOps), and Cloud-based AI Platforms</b>, with proven experience in designing, developing, deploying, and managing enterprise-grade AI solutions.</p><p>
The successful candidate will play a key role in building scalable AI systems, implementing GenAI applications, operationalizing machine learning models, and collaborating with business stakeholders to deliver innovative AI-driven solutions that create measurable business impact.</p><h2 class="jobSectionHeader"><b>
Key Responsibilities</b></h2><h3 class="jobSectionHeader"><b>
AI &amp; Machine Learning Development</b></h3><ul><li>
Design, develop, train, and deploy machine learning and deep learning models for enterprise use cases.</li><li>
Build and optimize predictive analytics, NLP, recommendation systems, and intelligent automation solutions.</li><li>
Develop AI-powered applications leveraging Large Language Models (LLMs) and Generative AI technologies.</li><li>
Fine-tune foundation models and implement Retrieval-Augmented Generation (RAG) architectures.</li><li>
Evaluate and benchmark AI models to ensure performance, scalability, and reliability.</li></ul><h3 class="jobSectionHeader"><b>
Generative AI Engineering</b></h3><ul><li>
Design and implement enterprise GenAI solutions using OpenAI, Azure OpenAI, Claude, Gemini, Llama, Mistral, and other LLM platforms.</li><li>
Develop conversational AI solutions, intelligent assistants, and knowledge management systems.</li><li>
Build prompt engineering frameworks and optimize prompts for business use cases.</li><li>
Implement vector databases and semantic search solutions.</li><li>
Develop AI agents and autonomous workflows using modern AI orchestration frameworks.</li></ul><h3 class="jobSectionHeader"><b>
MLOps &amp; AI Operations</b></h3><ul><li>
Design and implement end-to-end MLOps pipelines for model training, deployment, monitoring, and lifecycle management.</li><li>
Automate model deployment using CI/CD pipelines and infrastructure-as-code practices.</li><li>
Monitor model performance, drift detection, retraining strategies, and operational KPIs.</li><li>
Establish AI governance, model versioning, reproducibility, and compliance standards.</li><li>
Implement scalable AI platforms supporting multiple business units.</li></ul><h3 class="jobSectionHeader"><b>
Cloud &amp; Platform Engineering</b></h3><ul><li>
Deploy AI/ML workloads on cloud platforms such as Azure, AWS, GCP, or OCI.</li><li>
Manage containerized AI environments using Docker and Kubernetes.</li><li>
Design scalable AI infrastructure supporting high-volume enterprise workloads.</li><li>
Optimize cloud resources, performance, and operational costs.</li></ul><h3 class="jobSectionHeader"><b>
Data Engineering &amp; Integration</b></h3><ul><li>
Collaborate with data engineering teams to build AI-ready data pipelines.</li><li>
Integrate AI solutions with enterprise applications, APIs, databases, and business platforms.</li><li>
Ensure data quality, security, privacy, and compliance with organizational standards.</li></ul><h3 class="jobSectionHeader"><b>
Stakeholder Management</b></h3><ul><li>
Engage with business stakeholders to identify AI opportunities and translate business requirements into technical solutions.</li><li>
Present AI solution architectures, recommendations, and project outcomes to technical and non-technical audiences.</li><li>
Mentor junior AI engineers, data scientists, and platform engineers.</li></ul><h2 class="jobSectionHeader"><b>
Required Technical Skills</b></h2><h3 class="jobSectionHeader"><b>
Artificial Intelligence &amp; Machine Learning</b></h3><ul><li>
Machine Learning</li><li>
Deep Learning</li><li>
Natural Language Processing (NLP)</li><li>
Predictive Analytics</li><li>
Computer Vision (preferred)</li><li>
Reinforcement Learning (preferred)</li></ul><h3 class="jobSectionHeader"><b>
Generative AI</b></h3><ul><li>
Large Language Models (LLMs)</li><li>
Retrieval-Augmented Generation (RAG)</li><li>
Prompt Engineering</li><li>
AI Agents &amp; Multi-Agent Systems</li><li>
Fine-Tuning and Model Optimization</li><li>
Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS)</li><li>
LangChain, LlamaIndex, Semantic Kernel, CrewAI, AutoGen</li></ul><h3 class="jobSectionHeader"><b>
MLOps</b></h3><ul><li>
MLflow</li><li>
Kubeflow</li><li>
Airflow</li><li>
Model Monitoring &amp; Observability</li><li>
CI/CD for ML</li><li>
Feature Stores</li><li>
Model Registry</li><li>
Experiment Tracking</li><li>
Model Governance</li></ul><h3 class="jobSectionHeader"><b>
Cloud Platforms</b></h3><ul><li>
Microsoft Azure</li><li>
AWS</li><li>
Google Cloud Platform (GCP)</li><li>
Oracle Cloud Infrastructure (OCI) &ndash; Preferred</li></ul><h3 class="jobSectionHeader"><b>
Containers &amp; DevOps</b></h3><ul><li>
Docker</li><li>
Kubernetes</li><li>
Git</li><li>
GitHub Actions</li><li>
Jenkins</li><li>
Terraform</li><li>
Infrastructure as Code</li></ul><h3 class="jobSectionHeader"><b>
Programming Languages</b></h3><ul><li>
Python (Mandatory)</li><li>
SQL</li><li>
Bash/Shell Scripting</li><li>
Java or C# (Preferred)</li></ul><h2 class="jobSectionHeader"><b>
Qualifications</b></h2><ul><li>
Bachelor's Degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related discipline.</li><li>
Master's Degree in AI, Machine Learning, Data Science, or related field is highly preferred.</li></ul><h2 class="jobSectionHeader"><b>
Experience Requirements</b></h2><ul><li>
6&ndash;8 years of experience in AI/ML Engineering, Data Science, or AI Platform Engineering.</li><li>
Minimum 3+ years of hands-on experience implementing Generative AI solutions.</li><li>
Proven experience building and operationalizing machine learning models in production environments.</li><li>
Strong experience implementing enterprise MLOps frameworks and practices.</li><li>
Experience working with cloud-native AI services and modern AI platforms.</li></ul><h2 class="jobSectionHeader"><b>
Preferred Certifications</b></h2><ul><li>
Microsoft Azure AI Engineer Associate</li><li>
AWS Machine Learning Specialty</li><li>
Google Professional Machine Learning Engineer</li><li>
OCI AI Foundations Associate</li><li>
Kubernetes Certifications (CKA/CKAD)</li><li>
Databricks Machine Learning Professional</li></ul><h2 class="jobSectionHeader"><b>
Soft Skills</b></h2><ul><li>
Strong analytical and problem-solving skills.</li><li>
Excellent communication and stakeholder management abilities.</li><li>
Ability to work effectively in cross-functional and multicultural environments.</li><li>
Strong ownership, accountability, and leadership mindset.</li><li>
Passion for innovation and continuous learning.</li><li>
Ability to communicate fluently in both Arabic and English.</li></ul><h2 class="jobSectionHeader"><b>
Mandatory Requirements</b></h2><ul><li>
Native or Fluent Arabic Speaker.</li><li>
6&ndash;8 years of relevant AI/ML engineering experience.</li><li>
Hands-on expertise in Generative AI and MLOps.</li><li>
Strong Python programming skills.</li><li>
Experience deploying AI solutions in enterprise production environments.</li><li>
Willingness to work onsite in Riyadh, Saudi Arabia.</li></ul><p>
</p><p>synAh1U1mw</p></div>

Senior AI Engineer (Arabic Speaker)

EJADA

<div>
 <p>
  <strong>
   Job Purpose:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are looking for an experienced
  <strong>
   AI &amp; Data Delivery Expert
  </strong>
  to lead the successful delivery of AI and Data initiatives from planning through execution and closure. The role is responsible for managing multiple projects, leading cross-functional teams, and ensuring solutions are delivered on time, within budget, and aligned with business objectives while maintaining the highest standards of quality and client satisfaction.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Accountabilities:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Lead the end-to-end delivery of AI &amp; Data projects, managing scope, schedule, budget, quality, and risks.
  </li>
  <li>
   Develop and maintain project plans, delivery roadmaps, resource plans, and execution strategies using Agile, Waterfall, or hybrid methodologies.
  </li>
  <li>
   Serve as the primary point of contact for clients and business stakeholders throughout the project lifecycle.
  </li>
  <li>
   Lead multidisciplinary teams including Data Scientists, Data Engineers, ML Engineers, BI Developers, and Business Analysts.
  </li>
  <li>
   Proactively manage project risks, dependencies, and issues while driving timely resolution.
  </li>
  <li>
   Ensure all project deliverables meet quality standards, business requirements, and acceptance criteria.
  </li>
  <li>
   Monitor project financials, resource utilization, forecasting, and delivery performance.
  </li>
  <li>
   Drive stakeholder engagement, change management, user adoption, and knowledge transfer activities.
  </li>
  <li>
   Contribute to the continuous improvement of delivery frameworks, governance, and project management best practices.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Minimum Qualifications:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or a related field.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Minimum Experience:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   +7 years of experience in technology project or program delivery.
  </li>
  <li>
   Experience in leading AI, Data Analytics, Data Engineering, or Digital Transformation projects.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job-Specific Skills:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   AI &amp; Data Project Delivery
  </li>
  <li>
   Project &amp; Program Management (Agile, Scrum, Waterfall, Hybrid)
  </li>
  <li>
   Stakeholder &amp; Client Management
  </li>
  <li>
   Cross-Functional Team Leadership
  </li>
  <li>
   Risk, Issue &amp; Dependency Management
  </li>
  <li>
   Budget &amp; Financial Management
  </li>
  <li>
   Quality Assurance &amp; Delivery Governance
  </li>
  <li>
   Change Management &amp; User Adoption
  </li>
  <li>
   Project Management Tools (JIRA, Azure DevOps, MS Project, Smartsheet)
  </li>
 </ul>
 <p>
  <br/>
 </p>
</div>


AI & Data Delivery Expert

Explore 89+ Artificial intelligence specialist in Riyadh this July. Find roles across top companies and apply now to boost your career.

89 artificial intelligence specialist jobs In Riyadh

AI Solution, Engineer

Artificial Intelligence Engineer

AI Developer

Software Engineer II - QuantumBlack, AI by McKinsey

Artificial Intelligence Engineer

Senior AI Engineer (Arabic Speaker)

AI & Data Delivery Expert