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data & ai delivery, head Jobs in Saudi Arabia

data & ai delivery, head

data analytics / customer intelligence specialist Jobs in Saudi Arabia

data scientist

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data ai delivery head

Master Works

<div>
 Seeking an experienced leader to manage and oversee strategic Data &amp; AI initiatives within a government, banking, or enterprise environment. The candidate will lead cross-functional teams, manage project delivery, and drive digital transformation initiatives aligned with business objectives.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Lead and manage Data &amp; AI projects and delivery operations
 </li>
 <li>
 Oversee project planning, execution, governance, risks, timelines, and reporting
 </li>
 <li>
 Manage multidisciplinary teams including Data Engineers, Data Scientists, Analysts, and Project Managers
 </li>
 <li>
 Ensure successful delivery of projects within scope, budget, and quality standards
 </li>
 <li>
 Collaborate with executive stakeholders and business leaders to align delivery with strategic goals
 </li>
 <li>
 Drive Agile methodologies and modern project delivery practices
 </li>
 <li>
 Manage vendors, partners, and external stakeholders
 </li>
 <li>
 Support enterprise digital transformation and data-driven initiatives
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Qualifications &amp; Experience:
 
 
 
 <ul>
 <li>
 Saudi National
 </li>
 <li>
 Bachelor's degree in Computer Science, IT, Engineering, Data Science, or related field
 </li>
 <li>
 8+ years of experience in Project Management, Data Delivery, AI Programs, or Digital Transformation
 </li>
 <li>
 Previous experience within Banking, Government, or Large Enterprise environments is highly preferred
 </li>
 <li>
 Strong leadership and stakeholder management experience
 </li>
 <li>
 Proven knowledge of Agile frameworks and enterprise project delivery
 
 
 </li>
 </ul>
 
 Certifications:
 
 
 
 <ul>
 <li>
 PMP
 </li>
 <li>
 PMI-ACP
 </li>
 <li>
 Scrum Master
 </li>
 <li>
 SAFe Agile
 </li>
 <li>
 ITIL
 
 
 </li>
 </ul>
 
 Technical Expertise:
 
 
 
 <ul>
 <li>
 Data Platforms &amp; Analytics
 </li>
 <li>
 AI &amp; Machine Learning Initiatives
 </li>
 <li>
 Agile Delivery Frameworks
 </li>
 <li>
 PMO Governance
 </li>
 <li>
 Digital Transformation
 </li>
 <li>
 Risk &amp; Vendor Management
 
 
 </li>
 </ul>
 
 Core Competencies:
 
 
 
 <ul>
 <li>
 Leadership &amp; Communication
 </li>
 <li>
 Strategic Thinking
 </li>
 <li>
 Delivery Management
 </li>
 <li>
 Problem Solving
 </li>
 <li>
 Stakeholder Management
 </li>
 </ul>
</div>

Data & AI Delivery, Head

MASTER-WORKS

<div>Seeking an experienced leader to manage and oversee strategic Data &amp; AI initiatives within a government, banking, or enterprise environment. The candidate will lead cross-functional teams, manage project delivery, and drive digital transformation initiatives aligned with business objectives.
Key Responsibilities:
<ul><li>Lead and manage Data &amp; AI projects and delivery operations.</li><li>Oversee project planning, execution, governance, risks, timelines, and reporting.</li><li>Manage multidisciplinary teams including Data Engineers, Data Scientists, Analysts, and Project Managers.</li><li>Ensure successful delivery of projects within scope, budget, and quality standards.</li><li>Collaborate with executive stakeholders and business leaders to align delivery with strategic goals.</li><li>Drive Agile methodologies and modern project delivery practices.</li><li>Manage vendors, partners, and external stakeholders.</li><li>Support enterprise digital transformation and data-driven initiatives.</li></ul> 
 
 
Requirements 
Qualifications &amp; Experience:<ul><li>Saudi National.</li><li>Bachelor&rsquo;s degree in Computer Science, IT, Engineering, Data Science, or related field.</li><li>8+ years of experience in Project Management, Data Delivery, AI Programs, or Digital Transformation.</li><li>Previous experience within Banking, Government, or Large Enterprise environments is highly preferred.</li><li>Strong leadership and stakeholder management experience.</li><li>Proven knowledge of Agile frameworks and enterprise project delivery.</li></ul>
Certifications:<ul><li>PMP</li><li>PMI-ACP</li><li>Scrum Master</li><li>SAFe Agile</li><li>ITIL</li></ul> 
Technical Expertise:<ul><li>Data Platforms &amp; Analytics</li><li>AI &amp; Machine Learning Initiatives</li><li>Agile Delivery Frameworks</li><li>PMO Governance</li><li>Digital Transformation</li><li>Risk &amp; Vendor Management</li></ul>
Core Competencies:<ul><li>Leadership &amp; Communication</li><li>Strategic Thinking</li><li>Delivery Management</li><li>Problem Solving</li><li>Stakeholder Management</li></ul></div>

<div>Our subsidiary (Nabeh) is seeking for an AI Technical Lead to provide end-to-end AI technical leadership and solution architecture ownership across AI projects. The role is responsible for ensuring sound architectural decisions, proper implementation of AI patterns, and delivery-ready technical designs while reducing technical dependency on Project Managers and strengthening execution alignment across delivery teams.
The AI Technical Lead will work closely with Project Managers, Delivery Managers, AI Engineers, Platform Teams, Infrastructure Teams, and Stakeholders to ensure scalable, secure, and delivery-aligned AI solutions following enterprise best practices.
Key Responsibilities<ul><li>
Lead and own AI solution architecture across projects from concept design through deployment and operational readiness.
</li><li>Define, review, and validate end-to-end solution architectures, including AI models, data pipelines, integrations, platforms, infrastructure, and security considerations.
</li><li>Ensure architectural decisions are scalable, secure, cost-effective, and aligned with enterprise and client standards.
</li><li>Guide the selection and implementation of appropriate AI patterns and technologies including Computer Vision (CV), Natural Language Processing (NLP), Advanced Analytics, and Large Language Models (LLMs).
</li><li>Evaluate trade-offs between different AI models, architectures, and deployment approaches including cloud, on-premises, and edge environments.
</li><li>Support Project Managers and Delivery Managers with technical estimations, feasibility studies, technical risk assessments, dependencies, and delivery sequencing.
</li><li>Act as the primary technical reference point to resolve blockers and support smooth project delivery.
</li><li>Drive technical alignment across AI, platform, and infrastructure teams.
</li><li>Ensure code readiness, integration readiness, release planning, and deployment alignment across Dev, SIT, UAT, and Production environments.
</li><li>Review technical deliverables to ensure quality, consistency, and architectural compliance.
</li><li>Translate complex technical concepts and architectural decisions into clear communication for non-technical stakeholders.
</li><li>Participate in client discussions requiring technical assurance, architectural clarification, or solution alignment.</li></ul> 

Requirements 
<ul><li>
Bachelor&rsquo;s degree in Computer Science, Artificial Intelligence, Software Engineering, Data Science, or a related field.
</li><li>Strong hands-on experience delivering enterprise-grade AI projects and AI platforms.
</li><li>Proven experience in AI solution architecture, data architecture, and enterprise system integrations.
</li><li>Strong understanding of AI project lifecycles, model deployment, monitoring, and operational best practices.
</li><li>Ability to balance technical depth with practical delivery considerations.
</li><li>Strong experience with AI technologies, cloud platforms, and modern AI deployment approaches.
</li><li>Excellent communication, stakeholder management, and technical leadership skills.
</li><li>Strong problem-solving, analytical thinking, and decision-making capabilities.
</li><li>Arabic speaker with strong spoken and written English skills.
</li><li>Experience working in government or enterprise-scale environments.
</li><li>Familiarity with AI governance, security, and compliance standards.
</li><li>Experience leading cross-functional AI delivery teams and enterprise digital transformation initiatives</li><li>
Immediate joining is preferred.
</li></ul>Preferred Certifications
AI / ML certification from:
<ul><li><ul><li>Microsoft Azure
</li><li>Amazon Web Services AWS
</li><li>Google Cloud GCP.</li></ul></li></ul></div>

AI Technical, Lead

Ejadah Management Consultancy

<div>
 
 
 Key Responsibilites:
 
 
 
 Lead the end-to-end
 
 AI delivery function
 
 , ensuring consistent, high-quality execution across multiple squads and business domains
 
 <ul>
 <li>
 Oversee the
 
 full lifecycle of AI initiatives
 
 , from use case identification and prioritization through to deployment, scaling, and continuous optimization
 </li>
 <li>
 Establish and institutionalize
 
 delivery governance frameworks
 
 , including clear operating models, performance cadence, and accountability structures
 </li>
 <li>
 Build and lead
 
 high-performing, cross-functional teams
 
 , including engineering, data science, and product, operating through layered leadership
 </li>
 <li>
 Define and implement
 
 scalable AI platform architectures
 
 , enabling reuse, interoperability, and efficient deployment across the enterprise
 </li>
 <li>
 Drive the adoption of
 
 enterprise-grade MLOps standards
 
 , including CI/CD pipelines, model versioning, automated testing, and controlled release processes
 </li>
 <li>
 Ensure robust
 
 AI lifecycle management and model governance
 
 , including monitoring, drift detection, retraining strategies, and incident management protocols
 </li>
 <li>
 Standardize delivery through
 
 platform-based approaches
 
 , including shared data pipelines, reusable components, and consistent model serving patterns
 </li>
 <li>
 Collaborate closely with business and technology leadership to ensure
 
 alignment between AI delivery and strategic priorities
 
 </li>
 <li>
 Define and track
 
 key performance indicators
 
 related to delivery efficiency, model performance, and business value realization
 </li>
 <li>
 Ensure adherence to
 
 responsible AI principles
 
 , including auditability, transparency, and regulatory alignment
 </li>
 </ul>
 
 
 
 
 
 Requirments:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related discipline;
 
 advanced degree preferred
 
 </li>
 <li>
 Minimum of 10 years of experience in
 
 AI, machine learning, advanced analytics, or software engineering
 
 , with a strong record of delivering solutions in production environments
 </li>
 <li>
 Demonstrated success in leading
 
 large-scale AI delivery functions
 
 , including managing managers and cross-functional teams within complex organizations
 </li>
 <li>
 Deep expertise in
 
 MLOps and ML lifecycle management
 
 , including model versioning, CI/CD, monitoring, and continuous improvement practices
 </li>
 <li>
 Strong understanding of
 
 enterprise AI architectures
 
 , including data pipelines, feature stores, model serving, and hybrid cloud/on-premise environments
 </li>
 <li>
 Proven ability to design and scale
 
 platform-based AI capabilities
 
 , enabling reuse and consistency across multiple use cases
 </li>
 <li>
 Experience operating within structured environments requiring
 
 governance, controls, and auditability
 
 , preferably within regulated or large-scale industries
 </li>
 <li>
 Strong
 
 stakeholder management and communication capabilities
 
 , with the ability to engage senior leadership and translate business objectives into execution
 </li>
 <li>
 Demonstrated ability to balance
 
 strategic thinking with hands-on delivery oversight
 
 , ensuring both direction and execution excellence
 </li>
 </ul>
 
 
 
 
 
 
</div>

Ai Delivery Director

<div>Company Description 
Sia is a specialist Management Consulting firm born in Paris, France in 1999 and has grown into a global firm with over 3,000 employees and annual revenue exceeding $500m. Our culture is strongly oriented towards high-quality expertise and delivering excellent results and outcomes for our clients, which include a wide range of multinational companies. Testament to its success, Sia has shown double-digit growth every year since inception.
Sia is a pioneer of Consulting 4.0, putting us at the forefront of the technology revolution, deploying augmented Consultants capable of leveraging emerging digital technology to enhance and improve their cognitive reasoning, analysis and planning. Supported by Augmented &amp; Artificial Intelligence, Automation and Data Science we empower our clients to make the right decisions at the right time for the right reasons.
With our consultants representing 41 different nationalities, we are a highly diverse team spread across 48 offices in 19 countries. However, using innovative technologies such as our own in-house apps, social networks, and digital tools, we provide a truly integrated global service.
Sia is an equal opportunities employer, committed to diversity, inclusion, and employee well-being. Our diversity and inclusion networks (local and global) contribute to a pipeline of initiatives to enhance employee quality of life and foster a caring environment to work in.
Employees are encouraged to contribute to these initiatives and drive positive change in the organisation across 5 pillars: Women@Sia, Multi-Ethnic, Well-being, and Environment.
In the Middle East, Sia provides expert advisory services on strategy &amp; execution, innovation, operational performance &amp; cost reduction, cyber &amp; data security, efficient organisation, transformation &amp; change management, HR performance, and IT performance. In addition to these services, Sia Institute, Sia Partners&rsquo; world-class international training arm, provides a wide range of learning programs and workshops with modules successfully delivered across various locations and sectors, particularly in the Middle East.
Why join the Sia Village?
Excellence | Entrepreneurship | Innovation | Teamwork | Care &amp; Support | Employee Wellbeing
These are the six core values that guide all our actions. As an expression of our values, our Sia Village concept describes our commitment to fostering a sense of community within and among our offices. We believe that knowledge sharing is the key, not only to innovation, but to the growth and development of our people. 
Job Description 
At Sia, we believe AI is the cornerstone of the new generation. Our consultants' business acumen, combined with the expertise of our Data Scientists and AI products, empowers us to address our clients' business challenges across the data universe. As we expand Data &amp; AI practice, we seek professionals who share our vision and can contribute to our growth.
We are looking for individuals with the following experience:
Lead delivery projects with our clients on a wide range of topics:<ul><li>
Lead and deliver client engagements across a broad range of Data Science, AI, and Generative AI topics, including enterprise AI transformation, analytics, and intelligent automation initiatives.</li><li>
Develop Data &amp; AI strategies, operating models, and implementation roadmaps aligned with client business objectives and digital transformation agendas.</li><li>
Design and deliver advanced analytics, Machine Learning, Generative AI, and Agentic AI solutions across cloud ecosystems including Microsoft Azure, Azure OpenAI, AWS, and Google Cloud Platform (GCP).</li><li>
Design and implement LLM-powered solutions, including RAG architectures, AI agents, prompt engineering frameworks, orchestration layers, and vector database integrations.</li><li>
Lead functional data architecture, data modelling, and data engineering activities, including ETL/ELT pipelines, API integrations, and structured/unstructured data processing to maximize enterprise data value.</li><li>
Develop and deploy Machine Learning and AI models, including predictive analytics, supervised and unsupervised learning, forecasting, NLP, recommendation engines, and quantitative analysis use cases.</li><li>
Support the setup of scalable AI/ML deployment environments through MLOps practices, model lifecycle management, monitoring, and governance frameworks.</li><li>
Deliver data platform modernization, migration, and AI enablement initiatives leveraging modern cloud-native and enterprise data technologies.</li><li>
Implement enterprise data governance and Responsible AI frameworks, including data quality management, master data management, AI governance, security, compliance, and data sovereignty considerations.</li><li>
Support organizational adoption and business readiness for Data &amp; AI solutions through stakeholder engagement, training, and operating model enablement.</li><li>
Contribute to business development activities, proposal development, thought leadership, and the expansion of Sia&rsquo;s AI and Data offerings, accelerators, and platforms, including SiaGPT.</li></ul>
In addition, we are seeking technical experience across all or some of the below:<ul><li>
Strong foundation in Data Science, Machine Learning, and Generative AI, with practical experience delivering AI use cases in enterprise environments.</li><li>
Hands-on experience with Python-based AI/ML ecosystems (e.g., Pandas, Scikit-learn, TensorFlow, PyTorch, LangChain).</li><li>
Experience designing and deploying LLM and Agentic AI solutions, including RAG architectures, AI agents, prompt engineering, orchestration frameworks, and vector databases.</li><li>
Knowledge of modern AI platforms and cloud ecosystems such as Microsoft Azure AI, Azure OpenAI, AWS, Google Cloud, Databricks, or Snowflake.</li><li>
Experience with data engineering and data architecture concepts, including ETL pipelines, APIs, structured/unstructured data processing, and enterprise data platforms.</li><li>
Familiarity with MLOps / AIOps practices, model lifecycle management, monitoring, governance, and scalable deployment approaches.</li><li>
Understanding of AI governance, responsible AI, security, and data sovereignty requirements, particularly relevant for public sector and regulated industries in KSA and the GCC.</li><li>
Experience with business intelligence and visualization tools such as Power BI, Tableau, or similar.</li><li>
Ability to translate business problems into AI-driven operating models, analytics solutions, and transformation initiatives.</li><li>
Exposure to sector-specific AI use cases across industries such as Government, Energy, Utilities, Retail, Transportation, Financial Services, or Healthcare.</li><li>
Strong understanding of enterprise digital transformation environments, including integration with CRM, ERP, workflow, and customer platforms.</li><li>
Experience contributing to or leading AI strategy, use case prioritization, PoCs, MVPs, and enterprise-scale AI implementation programs.</li><li>
Familiarity with Agile delivery methodologies and cross-functional product delivery teams.</li><li>
Fluency in English is required; Arabic language proficiency is strongly preferred. Previous experience working in Saudi Arabia or the GCC region is considered a strong advantage.</li></ul> 

Qualifications 
To excel in this role, you should possess:<ul><li>
Bachelor&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, Information Systems, Software Engineering, Mathematics, Statistics, or a related quantitative field.</li><li>
Master&rsquo;s degree in a relevant discipline.</li><li>
4&ndash;10 years of professional experience in Data Science, AI, Analytics, or Digital Transformation, preferably within a consulting environment.</li><li>
Proven experience delivering AI/Data projects from strategy and use case definition through implementation and deployment.</li><li>
Experience working with enterprise and government stakeholders in KSA or the GCC.</li><li>
Strong client-facing communication and presentation skills, with the ability to engage senior stakeholders and translate technical concepts into business value.</li><li>
Ability to manage workstreams independently and contribute to proposal development, business development activities, and client relationship management.</li><li>
Relevant certifications in cloud, AI, or analytics platforms are considered a plus (e.g., Microsoft Azure AI, AWS Machine Learning, Google Cloud AI, Databricks).</li><li>
Fluency in English and Arabic is required.</li><li>
Experience in local networks and aiding in business development, proposal, and RFPs</li><li>
It is essential to work independently, functionally, and cross-functionally with large client and vendor teams to deliver quality and comprehensive solutions.</li><li>
Strong relationship management skills, with the ability to build networks and influence stakeholders effectively</li><li>
Exceptional analytical, communication, and interpersonal skills</li><li>
An entrepreneurial mindset with a passion for innovation and problem-solving</li></ul> 

Additional Information 
Joining Sia means integrating into a globally recognized firm that fosters personal growth through our unique Sia Village concept, which promotes a community-driven culture reinforced by values of Excellence, Entrepreneurship, Innovation, Teamwork, Care &amp; Support, and Employee Wellbeing, ensuring a fulfilling career path.
What a career at Sia offer you?<ul><li>
Competitive compensation: an competitive salary and benefits package, benchmarked against the market to ensure the most competitive offers.</li><li>
Entrepreneurial spirit: Join us on an entrepreneurial journey that not only fosters innovation but also empowers you to drive your own success. Dive into a culture where your ideas shape the future.</li><li>
Tailored career advocacy program: Receive dedicated support designed to help you achieve your professional aspirations. Our program pairs you with mentors who provide actionable feedback, ensuring continuous progress and success in your career path.</li><li>
Continuous growth: Engage with ongoing opportunities for learning and development, particularly in new and emerging topics. Stay ahead of the curve by continually advancing your knowledge and skills.</li></ul>
Our Commitment to Diversity
At Sia, we believe in fostering a diverse, equitable and inclusive culture where our employees and partners are valued and thrive in a sense of belonging. We are committed to recruiting and developing a diverse network of employees and investing in their growth by providing unique opportunities for professional and cultural immersion. Our commitment toward inclusion motivates dynamic collaboration with our clients, building trust by creating an inclusive environment of curiosity and learning which affects lasting impact.
We are guided by the pursuit of understanding and take pride in being able to provide meaningful solutions to our clients&rsquo; unique challenges. We bring our whole selves to work and strive to listen, observe, understand and be understood.
To learn more about our mission, values, and business sectors, please visit our website.<div></div>
Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.</div>

[KSA] Data & AI – Senior Consultant / Associate Manager

<div>Business Unit: Nabeh
Job Location: HQ
Job Purpose
Our subsidiary Nabeh is seeking for an experienced and highly skilled Software Testing, Senior Engineer. Responsible for designing, executing, and optimizing testing activities across AI and digital systems, ensuring high-quality delivery and supporting automation and performance initiatives.
Key Responsibilities<ul><li>
Design and maintain:
</li><li><ul><li>Test cases, test scenarios, and test data
</li></ul></li><li>Execute:
</li><li><ul><li>Functional, system, and integration testing
</li><li>API testing (Swagger, Postman)
</li></ul></li></ul><ul><li>Develop and maintain automation scripts (Selenium, Robot, SHAFT)
</li><li>Support performance testing execution (JMeter, Locust, Gatling, k6)
</li><li>Perform database validation and data consistency checks
</li><li>Validate AI outputs against defined scenarios and expected behavior
</li><li>Log, track, and manage defects with proper documentation
</li><li>Prepare test reports and execution evidence
</li><li>Collaborate with development, data, and AI teams
</li><li>Mentor and guide junior engineers
</li></ul>Qualifications &amp; Requirements<ul><li>
4&ndash;6+ years of QA experience
</li><li>Arabic Speaker (Mandatory)</li><li>
Strong hands-on experience in:
</li><li><ul><li>Test case design &amp; execution
</li><li>API and database testing
</li></ul></li></ul><ul><li>Working knowledge of automation frameworks
</li><li>Good understanding of performance testing concepts
</li><li>Exposure to AI systems or data-driven platforms (preferred)
</li><li>Experience in Agile environments
</li></ul>Certifications<ul><li>
ISTQB CTFL (Mandatory)
</li><li>ISTQB CTFL-AT (Preferred)
</li></ul>Language<ul><li>
Arabic (Native) &amp; English (Fluent)</li></ul></div>

Software Testing, Senior Engineer

DeepSource Technologies

<div>We are looking for a highly capable Senior AI Engineer / MLOps Engineer to join our team and lead the design, development, deployment, and optimization of scalable, production-grade AI and machine learning solutions. The ideal candidate will have strong hands-on experience across AI engineering, machine learning, MLOps, cloud-native architecture, and data engineering, with the ability to transform experimentation into reliable, business-ready systems.
This role requires deep expertise in LLMs, RAG, agentic AI workflows, CI/CD automation, production ML lifecycle management, and modern data platforms. The selected candidate will be expected to lead end-to-end AI initiatives, work across multiple projects, collaborate with technical and business stakeholders, and ensure operational excellence across AI platforms.
Key Responsibilities<ul><li>Design, develop, deploy, and maintain production-grade AI and machine learning systems end to end.</li><li>Build and optimize LLM-powered applications, including RAG pipelines, prompt workflows, agent-based systems, and multimodal AI use cases.</li><li>Develop intelligent workflows using tool-calling, orchestration frameworks, and contextual reasoning patterns.</li><li>Fine-tune, evaluate, and operationalize machine learning and foundation models for enterprise use cases.</li><li>Build and manage MLOps pipelines covering training, evaluation, model registration, deployment, monitoring, and retraining.</li><li>Implement CI/CD pipelines for ML and AI workflows to support automated testing, release management, and controlled deployments.</li><li>Establish model monitoring frameworks for drift detection, feature attribution, inference quality, and performance tracking.</li><li>Ensure reproducibility, reliability, and version control across AI/ML environments.</li><li>Architect scalable AI/ML platforms using modern compute, storage, orchestration, monitoring, and search services.</li><li>Build repeatable environments using Infrastructure as Code.</li><li>Support secure, high-availability, and cost-efficient deployment models across development, staging, and production environments.</li><li>Design scalable inference and serving patterns for variable workloads.</li><li>Build and maintain automated data pipelines, ETL/ELT workflows, and data processing frameworks for AI/ML consumption.</li><li>Ensure data quality, lineage, governance, and versioning to support dependable model training and inference.</li><li>Work with structured and unstructured datasets across data lakes, data warehouses, and operational systems.</li><li>Deliver analytics-ready datasets to downstream systems and applications.</li><li>Lead multiple AI initiatives in parallel, including planning, execution, and coordination with internal teams and stakeholders.</li><li>Work closely with product, engineering, data, and business teams to deliver production-ready AI capabilities.</li><li>Contribute to architecture decisions, technical documentation, best practices, and engineering standards.</li><li>Support knowledge sharing, technical leadership, and continuous improvement across the AI function. 
</li></ul> 
 
Requirements<ul><li> 
Bachelor&rsquo;s degree in Computer Engineering, Computer Science, Artificial Intelligence, Data Science, or a related field.</li><li>5+ years of hands-on experience in AI engineering, machine learning engineering, MLOps, or data/ML platform engineering.</li><li>Proven experience deploying production AI/ML solutions in enterprise environments.</li><li>Strong programming experience in Python and SQL.</li><li>Strong experience with enterprise AI/ML architecture and delivery.</li></ul></div>

AI Architect - Riyadh,KSA

Explore 490+ Data ai delivery head in Saudi Arabia this June. Find roles across top companies and apply now to boost your career.

490 data ai delivery head jobs In Saudi Arabia

Data & AI Delivery, Head

Data & AI Delivery, Head

AI Technical, Lead

Ai Delivery Director

[KSA] Data & AI – Senior Consultant / Associate Manager

Software Testing, Senior Engineer

AI Architect - Riyadh,KSA