artificial intelligence engineer

MASTER-WORKS

<div>Master Works is seeking a detail-oriented and analytical Data Management, Specialist to support and lead activities across multiple data management domains. The successful candidate will be responsible for ensuring the accuracy, integrity, security, and accessibility of organizational data by managing data collection, validation, maintenance, governance, and quality processes. You will work closely with cross-functional teams to develop and implement data management standards, improve data quality, ensure compliance with company policies and regulatory requirements, support reporting and analytics, and drive continuous improvement initiatives that enable informed decision-making and operational excellence. 
Key Responsibilities
<ul><li>Develop and maintain enterprise Data Governance frameworks, including policies, standards, procedures, and controls for Data Quality, Metadata, Master Data, Reference Data, and AI Governance.
</li><li>Manage and monitor Data Quality and Metadata by establishing KPIs, conducting assessments, maintaining the Enterprise Data Catalog and Business Glossary, documenting data lineage, and ensuring compliance with organizational and NDMO requirements.
</li><li>Govern Master and Reference Data by standardizing data definitions, assigning Data Owners and business responsibilities, maintaining reference data, and ensuring data consistency, integrity, and compliance across enterprise systems.
</li><li>Design, develop, and maintain Power BI dashboards, reports, and data visualizations by integrating enterprise data sources to support business intelligence, reporting, and informed decision-making.</li><li>
Develop and implement AI Governance policies, standards, and controls, assess AI-related risks, review AI use cases, and ensure the responsible, ethical, and compliant use of AI solutions.</li><li>
Collaborate with business units, IT, Cybersecurity, Data Owners, and other stakeholders to resolve data governance issues, drive continuous improvement initiatives, and ensure effective implementation of governance practices.</li><li>
Prepare and present governance, compliance, quality, and maturity reports, support NDMO and National Data Index (NDI) compliance initiatives, and promote enterprise-wide awareness of Data Governance and AI Governance best practices</li></ul> 

Requirements 
<ul><li>
Bachelor's degree in Data Science, Computer Science, Information Systems, Information Technology, Software Engineering, Artificial Intelligence or Data Analytics.</li><li>
A Master's degree is considered an advantage.
</li><li>Relevant professional certifications (e.g., CDMP, DGSP, Microsoft Power BI Certification, DAMA-related certifications, or AI Governance/AI Ethics certifications) are highly desirable.</li><li>
5&ndash;7 years of relevant experience in Data Management or Data Governance.</li><li>
Demonstrated experience in implementing NDMO controls or similar enterprise data governance frameworks.</li><li>
Experience with metadata management, data quality, master data management, and business intelligence.</li><li>
Experience working with enterprise Data Governance platforms (e.g., Informatica, Collibra, Alation, or equivalent).</li><li>
Hands-on Power BI experience.</li><li>
Experience with AI Governance is highly desirable.</li><li>
Strong analytical and problem-solving skills.</li><li>
Excellent communication and stakeholder management.</li><li>
Ability to lead cross-functional initiatives.</li><li>
Report writing and presentation skills.</li><li>
Strong coordination and project management capabilities.</li></ul>
Technical Skills<ul><li>
Data Governance</li><li>
Data Quality Management</li><li>
Metadata Management</li><li>
Data Catalog</li><li>
Business Glossary</li><li>
Master Data Management (MDM)</li><li>
Reference Data Management (RDM)</li><li>
Power BI</li><li>
SQL (Preferred)</li><li>
Data Modeling Concepts</li><li>
Data Lineage</li><li>
Data Architecture Fundamentals</li><li>
AI Governance Principles
</li></ul>Job location: Client Site</div>

Data Management, Specialist

Datamatics Global Services Ltd

<div><h1 class="jobSectionHeader">Job Description: Analytics &amp; Transformation Engineer</h1>
Job Title: Analytics &amp; Transformation Engineer 
Experience: 3&ndash;11 Years 
Location: Riyadh - Onsite 
Employment Type: Full-Time<h2 class="jobSectionHeader">
Job Overview</h2>
We are seeking an experienced Analytics &amp; Transformation Engineer with 3&ndash;11 years of experience to drive data-driven transformation initiatives through advanced analytics, reporting, measurement frameworks, and business intelligence solutions. The ideal candidate will have expertise in dashboard development, semantic modeling, behavioral analytics, experimentation, and analytics implementation processes. This role requires strong analytical thinking and the ability to translate business objectives into measurable data solutions.<h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Design and develop scalable analytics solutions to support business transformation initiatives.</li><li>
Build executive dashboards, reports, and analytical models to enable data-driven decision-making.</li><li>
Develop and maintain semantic models, metrics frameworks, and reporting standards.</li><li>
Perform behavioral analytics to understand user journeys, engagement patterns, and business performance.</li><li>
Define and implement event tracking strategies, analytics taxonomies, and measurement frameworks.</li><li>
Collaborate with product, engineering, marketing, and business teams to establish data-driven processes.</li><li>
Perform tracking implementation QA and ensure accuracy of analytics data collection.</li><li>
Conduct A/B testing analysis and evaluate the impact of product and business changes.</li><li>
Perform post-launch transaction analysis and ensure analytics readiness for new initiatives.</li><li>
Identify opportunities for process optimization and business improvement through data insights.</li></ul><h2 class="jobSectionHeader">
Required Technical Skills</h2><h3 class="jobSectionHeader">
Business Intelligence &amp; Visualization</h3><ul><li>
Hands-on experience with Power BI or Tableau or Looker for dashboard creation and analytics reporting.</li><li>
Experience developing interactive dashboards, KPI reporting, and executive-level visualizations.</li></ul><h3 class="jobSectionHeader">
Data Modeling &amp; Analytics Engineering</h3><ul><li>
Strong experience with SQL and dbt for data transformation and analytics workflows.</li><li>
Experience designing and maintaining semantic models and reusable analytical datasets.</li><li>
Understanding of data modeling concepts, metrics definitions, and reporting frameworks.</li></ul><h3 class="jobSectionHeader">
Product &amp; Behavioral Analytics</h3><ul><li>
Experience with Mixpanel or Amplitude or Google Analytics or Hotjar for user behavior analysis.</li><li>
Strong understanding of behavioral analytics, user journey tracking, and engagement measurement.</li><li>
Experience defining metrics, event taxonomy planning, and tracking implementation QA.</li></ul><h3 class="jobSectionHeader">
Experimentation &amp; Measurement</h3><ul><li>
Experience designing and analyzing A/B testing initiatives.</li><li>
Ability to measure business impact through controlled experiments and analytical insights.</li><li>
Experience with post-launch analysis, transaction analysis, and performance tracking.</li></ul><h3 class="jobSectionHeader">
Reporting &amp; Productivity Tools</h3><ul><li>
Advanced proficiency in Microsoft Excel for analysis, reporting, and data validation.</li><li>
Experience working with analytics methodologies and comparable tools/platforms.</li></ul><h2 class="jobSectionHeader">
Qualifications</h2><ul><li>
Bachelor's degree in Data Analytics, Computer Science, Information Systems, Business Analytics, Statistics, or a related field.</li><li>
3&ndash;11 years of professional experience in Analytics, Business Intelligence, Data Transformation, or Product Analytics.</li><li>
Strong analytical, problem-solving, and communication skills.</li><li>
Ability to work with technical and non-technical stakeholders.</li><li>
Experience working in Agile/Scrum environments.</li></ul><h2 class="jobSectionHeader">
Preferred Skills</h2><ul><li>
Experience supporting digital transformation and product analytics initiatives.</li><li>
Knowledge of cloud data platforms such as AWS, Azure, or Google Cloud Platform.</li><li>
Familiarity with data governance, analytics standards, and measurement frameworks.</li><li>
Experience working with large-scale datasets and enterprise reporting environments.</li><li>
Certifications in analytics, BI tools, or cloud technologies are a plus.</li></ul><h2 class="jobSectionHeader">
Key Technology Stack</h2><ul><li>
Business Intelligence: Power BI or Tableau or Looker</li><li>
Analytics Engineering: dbt and SQL</li><li>
Data Modeling: Semantic Models and Metrics Frameworks</li><li>
Behavioral Analytics: Mixpanel or Amplitude or Google Analytics or Hotjar</li><li>
Product Analytics: Behavioral Analytics and Event Taxonomy Planning and A/B Testing</li><li>
Reporting &amp; Analysis: Excel and Dashboard Creation</li><li>
Analytics Operations: Tracking Implementation QA and Post-Launch Transaction Analysis Readiness</li><li>
Comparable Tools &amp; Methods: Similar analytics, BI, and transformation platforms as required by business needs</li></ul>
YIaTsfUsPM</div>

Analytics & Transformation Engineer

<div>Master Works is seeking a Data &amp; AI, Head an experienced leader to drive and oversee strategic Data &amp; AI initiatives within government, banking, or enterprise environments. The successful candidate will lead cross-functional teams, manage the delivery of Data &amp; AI programs, and drive digital transformation initiatives aligned with business objectives. The role requires strong leadership, strategic thinking, and expertise in data management, artificial intelligence, and enterprise transformation.
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 
<ul><li>
Saudi National.</li><li>
Eligible to work in Saudi Arabia.</li><li>
Bachelor&rsquo;s degree in Computer Science, Information Technology, Engineering, Data Science, or a 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>
Experience managing ministry or government leaders as stakeholders.</li><li>
Experience with risk and vendor management.</li><li>
Proven knowledge of Agile frameworks and enterprise project delivery.</li><li>
Professional proficiency in Arabic and excellent proficiency in English.</li></ul>
Certifications:<ul><li>
PMP</li><li>
PMI-ACP</li><li>
Scrum Master</li><li>
SAFe Agile</li><li>
ITIL</li></ul>
Job Location: Client Site 
 
 
Benefits</div>

Data & AI Delivery, Head

NetApp

<div>Own Every Moment at NetApp
At NetApp, your ideas power innovation. We lead in intelligent data infrastructure&mdash;delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud.
Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Join teams that drive results, innovate to elevate, and excel together across every function.</div>
 <div><div><div><div><div><h2 class="jobSectionHeader">Job Summary</h2></div><div>
Are you passionate about technology and customer satisfaction? Do you thrive in a collaborative environment where your contributions make a real impact? NetApp is looking for a Professional Services Engineer to join our team. In this role, you will develop and deliver technology solutions through consulting project activities, manage project interactions with clients, and monitor costs and schedules.
Your goal will be to create deep customer satisfaction and drive product adoption, using these successes to identify growth opportunities and support the Sales team in upselling our portfolio. You will also participate in sales and proposal presentations and contribute to ongoing team account activities.
Role location: Saudi Aramco , Dharhan Eastern Province Saudi Arabia</div></div><div><div><h2 class="jobSectionHeader">
Essential Functions
</h2></div><div><ul><li>Assist in completing post-sales hardware and software installations with moderate complexity.</li><li>
Coordinate with customers, Sales teams, and other Professional Services staff to perform daily tasks. Review and prepare for upcoming job task assignments.</li><li>
Provide detailed documentation on tasks performed.</li><li>
Follow appropriate escalation guidelines with supervision during customer engagements.</li><li>
Contribute to the development of project plans and timelines.</li><li>
Support the identification and resolution of technical issues.</li><li>
Participate in customer training sessions and workshops</li></ul></div></div><div><div><h2 class="jobSectionHeader">
Job Requirements
 </h2></div><div><ul><li>Minimum of 5 years of experience in a related field, with a focus on IT or engineering.</li><li>
Strong interpersonal, negotiation, and organizational skills.</li><li>
Ability to work successfully with prospects, customers, and cross-functional teams to meet performance goals.</li><li>
Knowledge of IP Networks.
</li><li>Proficiency in English and Arabic (C1-C2 level).</li><li>
Demonstrated problem-solving abilities and a growth mindset.</li><li>
Commitment to customer-centric approaches and high performance.</li></ul></div></div></div>
At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process.
Equal Opportunity Employer:
NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification.
Why You'll Thrive at NetApp
At NetApp, you won't wait for the perfect moment&mdash;you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure.
NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security.
Our culture
We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed&mdash;they drive everything we do.
If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. now.
Submitting an Application
To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application.
AI Disclosure
For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support&mdash;rather than replace&mdash;human decision-making.</div></div>

Professional Services Consultant

CNTXT AI

<div>
 
 
 Position Summary
 
 
 
 This is a fully remote, hourly contractor role supporting AI data and language projects on a project-based, flexible hour basis. Project scopes vary and may include:
 
 <ul>
 <li>
 
 
 Data annotation:
 
 labeling, classifying, and structuring documents, tables, and other content to support AI training datasets.
 
 </li>
 <li>
 
 
 LLM evaluation:
 
 reviewing AI-generated responses for accuracy, reasoning quality, coherence, and cultural/linguistic appropriateness.
 
 </li>
 <li>
 
 
 Content generation:
 
 writing high-quality prompts and model responses to guide AI learning across diverse topics.
 
 </li>
 <li>
 
 
 Localization QA:
 
 ensuring terminology, tone, cultural nuance, and locale-specific details (units, references, names, dates) are consistently accurate across outputs.
 
 
 
 </li>
 </ul>
 
 You will apply senior-level Arabic localization and translation judgment alongside minimum C1 English proficiency to ensure terminology, tone, and cultural nuance are consistently accurate across use cases.
 
 
 
 Profile Requirements
 
 
 <ul>
 <li>
 
 Bachelor's degree or higher in Translation, Linguistics, Localization, Communications, or a related field.
 
 </li>
 <li>
 
 Native or near-native Arabic proficiency with strong writing and editing skills across Modern Standard Arabic and at least one dialect.
 
 </li>
 <li>
 
 Minimum C1 English proficiency (reading/writing) for interpreting prompts, source materials, and evaluation guidelines.
 
 </li>
 <li>
 
 Excellent editorial judgment in register, tone, punctuation, inclusivity, and cultural nuance, with extreme attention to detail.
 
 </li>
 <li>
 
 Ability to identify meaning drift, ambiguity, locale inconsistencies, and subtle errors, and to explain corrections clearly in writing.
 
 </li>
 <li>
 
 Ability to rigorously fact-check localized content (units, references, names, dates) using reliable sources and consistent reasoning.
 
 </li>
 <li>
 
 Ability to identify reasoning gaps, methodological errors, and unclear explanations even when language is fluent.
 
 </li>
 <li>
 
 Reliable, self-directed, and able to deliver consistent quality with clear communication and responsiveness across time zones.
 
 
 
 </li>
 </ul>
 
 
 Preferred Experience
 
 
 <ul>
 <li>
 
 Professional localization or translation experience.
 
 </li>
 <li>
 
 Familiarity with MQM/LQA concepts (severity, category, and root-cause thinking) for consistent quality decisions.
 
 </li>
 <li>
 
 Proficiency with CAT tools and QA workflows (translation memory, termbases, automated checks).
 
 </li>
 <li>
 
 Previous experience with AI data training, annotation, or evaluation.
 
 
 
 </li>
 </ul>
 
 
 About CNTXT AI
 
 
 
 CNTXT AI builds artificial intelligence products and data solutions with a focus on making AI accurate, safe, and globally relevant for impact. Our work spans data services, custom AI solutions, and proprietary AI products, with deep expertise in Arabic-native and secure, sovereign solutions.
 
</div>

Arabic/English Bilingual AI Data Annotator & Evaluator (Remote, Hourly Contractor)

JAWRAA

<div>
 
 Jawraa is a leading digital transformation partner committed to empowering businesses in Saudi Arabia. With over two decades of experience, we've helped organizations navigate the evolving digital landscape and achieve their goals. Our deep industry expertise and strategic partnerships with top-tier technology providers set us apart.
 
 
 
 
 
 
 About the job :
 
 
 
 We are looking for a Senior Cloud Engineer with deep expertise in Google Cloud Platform (GCP) to join our growing engineering team. In this role, you will be responsible for designing, building, and maintaining scalable, secure, and highly available cloud infrastructure that powers our core products and services. You will partner with software engineers, data teams, and security to lead cloud-native transformation initiatives and champion best practices across the organization.
 
 
 
 
 
 
 Key Responsibilities :
 
 
 
 
 Infrastructure Architecture &amp; Design
 
 
 
 &bull; Architect and implement highly available, fault-tolerant, and scalable cloud solutions on GCP
 
 
 &bull; Lead the design of GCP-native infrastructure using services such as GKE, Cloud Run, Compute Engine, Cloud SQL, BigQuery, Pub/Sub, and Cloud Storage
 
 
 &bull; Define infrastructure standards, patterns, and reference architectures for engineering teams
 
 
 
 
 
 
 DevOps &amp; Automation
 
 
 
 &bull; Build and maintain Infrastructure as Code (IaC) using Terraform and Google Deployment Manager
 
 
 &bull; Design and manage CI/CD pipelines using Cloud Build, GitHub Actions, or similar tooling
 
 
 &bull; Automate cloud operations, monitoring, and remediation using scripting (Python, Bash, Go)
 
 
 
 
 
 
 Security &amp; Compliance
 
 
 
 &bull; Implement and enforce GCP security best practices including IAM, VPC Service Controls, and Cloud Armor
 
 
 &bull; Ensure compliance with regulatory frameworks (SOC 2, ISO 27001, GDPR) within the cloud environment
 
 
 &bull; Conduct regular security assessments and drive vulnerability remediation efforts
 
 
 
 
 
 
 Reliability &amp; Performance
 
 
 
 &bull; Define and maintain SLIs, SLOs, and error budgets for cloud infrastructure services
 
 
 &bull; Lead incident response, root cause analysis, and blameless post-mortems
 
 
 &bull; Optimize cloud resource utilization and drive cost management through FinOps practices
 
 
 
 
 
 
 Collaboration &amp; Leadership
 
 
 
 &bull; Mentor junior and mid-level cloud engineers and promote a culture of learning
 
 
 &bull; Collaborate with product, data, and security teams to align cloud strategy with business goals
 
 
 &bull; Document architecture decisions, runbooks, and operational procedures
 
 
 
 
 
 
 Google Cloud Networking
 
 
 
 &bull; Design and manage Google Cloud VPC networks, subnets, firewall rules, and network policies
 
 
 &bull; Configure and optimize Cloud Load Balancing (HTTP(S), TCP/SSL, Internal) for high-availability workloads
 
 
 &bull; Implement Cloud CDN, Cloud DNS, and Traffic Director for global traffic management
 
 
 &bull; Set up and manage hybrid connectivity using Cloud Interconnect (Dedicated &amp; Partner) and Cloud VPN
 
 
 &bull; Deploy and configure Shared VPC and VPC Network Peering for multi-project architectures
 
 
 &bull; Apply network security controls including Cloud Armor (WAF/DDoS), VPC Service Controls, and Private Google Access
 
 
 &bull; Monitor and troubleshoot network performance using Network Intelligence Center, Connectivity Tests, and VPC Flow Logs
 
 
 &bull; Design private networking for GKE clusters using Alias IP ranges, Cloud NAT, and Private Service Connect
 
 
 
 
 
 
 Requirements :
 
 
 
 &bull; Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical field &mdash; or equivalent practical experience.
 
 
 &bull; 7+ years of experience in cloud engineering, with at least 5 years hands-on with GCP
 
 
 &bull; Deep expertise in GCP services: GKE, Cloud Run, BigQuery, Pub/Sub, Cloud Functions, VPC, IAM
 
 
 &bull; Proficiency in Infrastructure as Code using Terraform
 
 
 &bull; Strong programming/scripting skills in Python, Go, or Bash
 
 
 &bull; Experience with Kubernetes and containerized workloads
 
 
 &bull; Hands-on experience with CI/CD tooling and GitOps workflows
 
 
 &bull; Solid understanding of networking concepts: DNS, VPNs, load balancing, CDN, TCP/IP
 
 
 &bull; Experience implementing security controls and compliance in cloud environments
 
 
 &bull; Google Cloud Professional certifications (Cloud Architect, DevOps Engineer, Security Engineer)
 
 
 &bull; Experience with multi-cloud or hybrid cloud architectures
 
 
 &bull; Familiarity with data engineering tools: Dataflow, Dataproc, BigQuery ML
 
 
 &bull; Experience with service mesh technologies (Istio, Anthos Service Mesh)
 
 
 &bull; Background in SRE principles and practices
 
 
 
 
 
 
 
 
 
 Required Specialized Certifications :
 
 
 
 Google Professional Cloud Architect
 
 
 Google Professional DevOps Engineer
 
 
 Google Professional Cloud Security Engineer
 
 
 Google Associate Cloud Engineer
 
</div>

Senior Cloud Engineer {GCP}

Sulava MEA

<div>
 We are looking for a
 
 Deployment Engineer &amp; Architect
 
 to lead the design, development, and deployment of AI agent solutions using Microsoft Copilot, Copilot Studio, and Azure AI services for our Customers.
 
 
 This role is a combination of
 
 hands-on engineering and architecture leadership
 
 , focusing on building scalable, secure, and high-impact AI solutions. You will play a key role in our
 
 Agent Factory (FFL)
 
 model&mdash;delivering production-ready AI agents that transform business processes.
 
 
 
 
 What You Will Do
 
 
 
 
 <ul>
 <li>
 Design and implement end-to-end AI agent architectures across Microsoft 365 and Azure
 </li>
 <li>
 Build and deploy agents using Copilot Studio and integrate with enterprise systems
 </li>
 <li>
 Develop custom plugins, connectors, and workflows to extend agent capabilities
 </li>
 <li>
 Lead technical design for Agent Factory (FFL) delivery and scaling models
 </li>
 <li>
 Work with customer teams to translate business use cases into technical solutions
 </li>
 <li>
 Implement RAG pipelines, integrations, and data orchestration for agent intelligence
 </li>
 <li>
 Set up and optimize Azure AI environments, landing zones, and deployment pipelines
 </li>
 <li>
 Ensure security, governance, and compliance in all solutions
 </li>
 <li>
 Collaborate with AI Transformation Advisors to deliver end-to-end customer impact
 </li>
 <li>
 Support testing, optimization, and continuous improvement of agent solutions
 
 
 </li>
 </ul>
 
 
 What You Bring
 
 
 
 
 
 
 Core Engineering &amp; Architecture Skills
 
 
 
 
 <ul>
 <li>
 Strong software engineering background (e.g. .NET, Python, JavaScript/TypeScript)
 </li>
 <li>
 Experience designing scalable cloud-native architectures
 </li>
 <li>
 Ability to lead technical design and architecture decisions
 
 
 </li>
 </ul>
 
 
 AI &amp; Agent Development
 
 
 
 
 <ul>
 <li>
 Hands-on experience with Copilot Studio and agent development
 </li>
 <li>
 Experience building AI solutions using Azure AI / Azure AI Foundry
 </li>
 <li>
 Understanding of multi-agent patterns, orchestration, and automation
 </li>
 <li>
 Experience integrating APIs, data sources, and enterprise systems
 
 
 </li>
 </ul>
 👉 Agents operate across business processes and systems, combining orchestration, automation, and knowledge layers to deliver real value [
 
 
 
 
 Data &amp; Integration
 
 
 
 
 <ul>
 <li>
 Experience with RAG (Retrieval-Augmented Generation) architectures
 </li>
 <li>
 Knowledge of Azure AI Search, data pipelines, and indexing approaches
 </li>
 <li>
 Experience integrating with Microsoft Graph, SharePoint, and enterprise data sources
 
 
 </li>
 </ul>
 
 
 Security &amp; Governance
 
 
 
 
 <ul>
 <li>
 Understanding of enterprise security, identity (Entra ID), and data protection
 </li>
 <li>
 Experience implementing AI governance, compliance, and data security controls
 
 
 </li>
 </ul>
 👉 AI solutions are expected to include governance, identity, and security layers alongside agent orchestration and data acces
 
 
 
 
 What Makes You Successful
 
 
 
 
 <ul>
 <li>
 You can move from architecture to hands-on delivery seamlessly
 </li>
 <li>
 You build solutions that are production-ready, secure, and scalable
 </li>
 <li>
 You understand both technical design and real business impact
 </li>
 <li>
 You are comfortable working in fast-evolving AI environments
 </li>
 <li>
 You take ownership and drive technical outcomes end-to-end
 
 
 </li>
 </ul>
 
 
 Nice to Have
 
 
 
 
 <ul>
 <li>
 Experience with Power Platform (Power Automate, Dataverse)
 </li>
 <li>
 Familiarity with Copilot extensibility and plugin models
 </li>
 <li>
 Experience with DevOps / CI-CD pipelines for AI solutions
 </li>
 <li>
 Knowledge of KSA regulatory and data residency requirements
 </li>
 <li>
 Arabic language skills
 </li>
 </ul>
</div>

Deployment Engineer & Architect

Explore 56+ Artificial intelligence engineer in Riyadh this July. Find roles across top companies and apply now to boost your career.