road design engineer

3d designer

architectural engineer

digital designer

oracle solution architect

sr digital architect

QatarEnergy

<div>
 <strong>
  Primary Purpose Of The Job
  <br/>
  <br/>
 </strong>
 The Senior Digital Architect is responsible for designing, implementing, and maintaining Cloud digital platforms across the organization. This role focuses on enhancing enterprise analytics capabilities by integrating AI/ML models, emerging technologies, and large-scale data processing frameworks to drive data-driven decision-making and operational efficiency. Additionally, the digital architect will collaborate with business and technical teams to accelerate digital transformation, streamline data governance, and adopt emerging technologies to drive continuous innovation.
 <br/>
 <br/>
 <strong>
  Principle Accountabilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design scalable, secure, and cloud-native architecture frameworks for AI/ML solutions, including MLOps pipelines, model deployment infrastructure, and integration patterns.
  </li>
  <li>
   Establish architectural guidelines for implementing generative AI solutions, including safety measures and ethical considerations.
  </li>
  <li>
   Design scalable architectures for packaging AI/ML models as production-ready APIs or custom applications/microservices.
  </li>
  <li>
   Define technical standards for model deployment, monitoring, and maintenance.
  </li>
  <li>
   Identify and evaluate industry-specific data and AI platforms, Auto-ML tools to fit business use cases and derive value.
  </li>
  <li>
   Partner with business stakeholders to understand requirements and translate them into technical solutions
  </li>
  <li>
   Establish governance frameworks for AI model lifecycle management
  </li>
  <li>
   Assess technical and Information security risks and provide mitigation strategies in the implementation of digital solutions
  </li>
  <li>
   Audit AI tools and practices across data, models and engineering, focusing on continuous improvement and feedback mechanisms.
  </li>
  <li>
   Provide strategic and technical guidance to stakeholders regarding digital solutions, cloud architecture, and platform optimizations.
  </li>
  <li>
   Stay updated on emerging technologies and apply cloud-native, AI/ML-driven solutions, automation tools to foster innovation in business processes.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Experience And Skills
  <br/>
  <br/>
 </strong>
 <strong>
  AI/ML Expertise
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   8+ years of experience in digital solution architecture, with at least 5 years focusing on AI/ML solutions preferably in the Energy Sector.
  </li>
  <li>
   Proven track record of designing and implementing enterprise-scale AI/ML architecture/solutions.
  </li>
  <li>
   5+ years of experience with AI/ML frameworks (TensorFlow, PyTorch, etc.) and AI model deployment.
  </li>
  <li>
   Proficient in large language models and generative AI implementations.
  </li>
  <li>
   Experience in prompt engineering, RAG, and fine-tuning to optimize model performance and response accuracy.
  </li>
  <li>
   Experienced with real-time ML systems and edge computing.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  MLOps and DataOps
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong knowledge of MLOps practices and tools.
  </li>
  <li>
   Proficiency in MLOps and DataOps methodologies, including CI/CD pipelines, ML model monitoring, and automation.
  </li>
  <li>
   Experience with DevOps, serverless computing, and containerization (Docker, OpenShift, Kubernetes).
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Cloud and Architecture
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong expertise in one of the cloud computing platforms (Azure, GCP), cloud services (SaaS, PaaS, DaaS), and microservices-driven architectures.
  </li>
  <li>
   Experience in designing scalable architectures for packaging AI/ML models as production-ready APIs or custom applications/microservices.
  </li>
  <li>
   Working knowledge of system integration approaches, modern data architectures, and cloud-native application design.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Governance and Compliance
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   In-depth understanding of data governance frameworks, cybersecurity principles, regulatory compliance, and AI ethics in enterprise settings.
  </li>
  <li>
   Knowledgeable in AI/ML regulatory compliance.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Communication and Collaboration
  <br/>
  <br/>
 </strong>
 Excellent communication skills to effectively collaborate with business, technical, and product teams and translate complex technical requirements into actionable solutions
 <br/>
 <br/>
 <strong>
  Educational Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   A degree in Information Management, Engineering, or a technology related field, demonstrating strong analytical and quantitative skills.
  </li>
  <li>
   Advanced degrees (Master's or PhD) in Data Science, Applied Machine Learning, Computer Science, or Statistics is highly desirable
  </li>
 </ul>
</div>


SR. DIGITAL ARCHITECT

Edison Smart®

<div>
 <p>
  <strong>
   Cloud Architect &ndash; Role Overview
  </strong>
 </p>
 <p>
  The Cloud Architect will be responsible for designing, implementing, and optimising cloud environments that support complex digital ecosystems. This role focuses on building scalable, secure, and resilient cloud platforms capable of supporting large-scale operations, fluctuating workloads, and business-critical applications.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <p>
  <strong>
   Cloud Architecture &amp; Delivery
  </strong>
 </p>
 <ul>
  <li>
   Develop secure, scalable cloud infrastructures on major cloud platforms (Azure, AWS, or Google Cloud).
  </li>
  <li>
   Select the most suitable cloud services based on performance, availability, cost, and application requirements.
  </li>
  <li>
   Automate cloud resource provisioning using Infrastructure-as-Code (IaC) frameworks (e.g., ARM templates, Deployment Manager, CloudFormation, Terraform).
  </li>
  <li>
   Incorporate principles of cost efficiency, operational continuity, and compliance into all architectural decisions.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Cloud Security, Governance &amp; Documentation
  </strong>
 </p>
 <ul>
  <li>
   Establish and maintain strong security controls for cloud environments, including IAM frameworks, encryption standards, and access policies.
  </li>
  <li>
   Ensure cloud solutions adhere to industry best practices, governance frameworks, and data-protection regulations.
  </li>
  <li>
   Develop ongoing monitoring and reporting processes to assess cloud health, performance, and utilisation.
  </li>
  <li>
   Produce clear technical documentation, diagrams, and architecture artifacts for internal teams and stakeholders.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Operations, Optimisation &amp; Problem Solving
  </strong>
 </p>
 <ul>
  <li>
   Perform routine maintenance activities to ensure platform stability and operational uptime.
  </li>
  <li>
   Optimise system resources for resilience, performance, and scalability.
  </li>
  <li>
   Troubleshoot environment-wide issues and lead root-cause analysis for cloud-related incidents.
  </li>
  <li>
   Automate monitoring, maintenance, and repeatable operational processes to enhance efficiency and reduce manual effort.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications &amp; Experience
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    8+ years
   </strong>
   working in IT infrastructure, cloud engineering, or related domains.
  </li>
  <li>
   <strong>
    6+ years
   </strong>
   in a dedicated cloud architecture or cloud delivery role.
  </li>
  <li>
   Bachelor&rsquo;s degree in Computer Science, Information Technology, Engineering, or an equivalent discipline.
  </li>
 </ul>
 <p>
  <strong>
   Certifications
  </strong>
  (any two):
 </p>
 <ul>
  <li>
   Microsoft Azure Solutions Architect Expert
  </li>
  <li>
   Google Professional Cloud Architect
  </li>
  <li>
   AWS Certified Solutions Architect &ndash; Professional
  </li>
  <li>
   Cloud Computing Professional (CCC) or similar advanced cloud credentials
  </li>
 </ul>
 <p>
  <strong>
   Required Technical Skills
  </strong>
 </p>
 <ul>
  <li>
   Expertise in designing and deploying cloud solutions across Azure or Google Cloud.
  </li>
  <li>
   Strong understanding of enterprise systems and cloud-native services.
  </li>
  <li>
   Hands-on administration experience in Microsoft and Google cloud ecosystems.
  </li>
  <li>
   Knowledge of cloud networking, identity, security controls, and hybrid-cloud integrations.
  </li>
  <li>
   Experience with cloud virtualization, high-availability design, and multi-region deployments.
  </li>
  <li>
   Ability to create cloud strategies, architecture frameworks, and security-focused design patterns
  </li>
 </ul>
</div>


Cloud Architect - Up to 30,000 QAR

Codvo.ai

<div><div><div><p><b>Da</b><b>ta Architect (Category - Architect)</b></p><p><b>
Sector: Oil and Gas</b></p><p><b>
Location: Doha, Qatar</b></p><div></div><p><b><br>
About Us</b></p><p>
At Codvo, we are committed to building scalable, future-ready data platforms that power business impact. We believe in a culture of innovation, collaboration, and growth, where engineers can experiment, learn, and thrive. Join us to be part of a team that solves complex data challenges with creativity and cutting-edge technology.</p><p></p><p><b><br>
Our Vision: Engineering the Future of Energy with Data</b></p><p>
Our digital transformation is moving from strategy to execution. We have a clear roadmap of high-impact data and AI use cases designed to fundamentally re-engineer our operations&mdash;from improving efficiency and implementing predictive maintenance on critical assets to enhancing subsurface modeling for better exploration outcomes. This is not just an IT upgrade; it is a core business imperative to create a more resilient, efficient, and intelligent energy company. We are now building the core team of innovators and builders to deliver these initiatives. This role is critical to bringing that vision to life, moving beyond theory to engineer the specific, robust data solutions that will power our most strategic projects and deliver measurable value.</p><p></p><p><b><br>
The Opportunity:</b></p><p>
The Data Architect will be responsible for designing, governing, and evolving the organization&rsquo;s enterprise data architecture, ensuring that data platforms are scalable, secure, interoperable, and AI-ready. This role focuses on defining data models, integration patterns, governance standards, and architecture blueprints that enable analytics, AI, and digital products at scale.</p><p>
The architect will work closely with data engineers, solution architects, cloud teams, business stakeholders, and cybersecurity teams to ensure data architecture aligns with business priorities and regulatory requirements.</p><p></p><p><b><br>
Job Description:</b></p><p><b>
Key Responsibilities:</b></p><p></p><p><br>
Enterprise Data Architecture &amp; Design:</p><ul><li>Define and maintain the enterprise data architecture blueprint, including data lakes, warehouses, streaming platforms, and analytics layers.</li><li>Design logical, physical, and conceptual data models to support operational, analytical, and AI use cases.</li><li>Ensure architecture supports scalability, performance, and high availability.</li></ul><p></p><p><br>
Cloud Data Platforms &amp; Integration:</p><ul><li>Architect cloud-native data platforms using Azure (ADF, Synapse, Databricks, Fabric) and/or GCP equivalents.</li><li>Design secure hybrid architectures integrating on-premises systems with cloud data platforms.</li></ul><p></p><p><br>
 Data Governance, Quality &amp; Security:</p><ul><li>Define and enforce data governance frameworks, including metadata management, data lineage, data ownership, and stewardship models.</li><li>Establish data quality standards, validation rules, and monitoring mechanisms.</li><li>Ensure compliance with ISO 27001, NIA Qatar, data privacy, and internal cybersecurity policies.</li><li>Define data security architecture including encryption, access control, and role-based data access.</li></ul><p></p><p><br>
 Analytics, AI &amp; Advanced Use Cases:</p><ul><li>Design data architectures that support advanced analytics, AI/ML, and digital twin initiatives.</li><li>Collaborate with data scientists and analysts to optimize data models for analytics and AI consumption.</li></ul><p></p><p><br>
 Architecture Governance &amp; Leadership:</p><ul><li>Establish data architecture standards, reference architectures, and best practices.</li><li>Review solution designs to ensure alignment with enterprise data architecture principles.</li></ul><p></p><p><b><br>
Required Skills and Qualifications:</b></p><p></p><ul><li><br>
Bachelor&rsquo;s or master&rsquo;s degree in computer science, Data Engineering, Information Systems, or related field.</li><li>10+ years of experience in data architecture, data engineering, or enterprise analytics roles.</li><li>Strong experience designing enterprise-scale data platforms in cloud and hybrid environments.</li><li>Expertise in data modelling (conceptual, logical, physical) and data integration patterns.</li><li>Deep understanding of data lakes, data warehouses, Lakehouse architectures, and real-time streaming platforms.</li><li>Hands-on experience with cloud data services (Azure preferred).</li><li>Strong knowledge of SQL, data transformation frameworks, and metadata management.</li><li>Familiarity with DevOps and DataOps practices.</li><li>Strong communication skills with the ability to engage both technical and business stakeholders.</li></ul><p></p><p><b><br>
Technical Proficiencies:</b></p><ul><li>Expert-level proficiency in SQL and Python for data manipulation and pipeline development.</li><li>Big Data Technologies: Hands-on experience with distributed computing frameworks like Apache Spark (PySpark). Experience with streaming technologies like Kafka is a plus.</li><li>Cloud Platforms: Deep experience with Microsoft Azure (Azure Data Lake Storage, Azure Data Factory, Azure Databricks, Azure Synapse).</li><li>Data Warehousing/Lakehouse: Proven experience with modern data platforms Databricks Delta Lake.</li><li>AI &amp; ML Knowledge: Understanding of machine learning lifecycles and the data requirements for training and deploying AI/ML models.</li><li>Orchestration: Experience with workflow orchestration tools like Airflow, Dagster, or Azure Data Factory.</li><li>Databases: Strong understanding of both relational (e.g., PostgreSQL, SQL Server) and NoSQL databases. Experience with graph databases (e.g., Neo4j) and vector databases is highly desirable.</li><li>Version Control: Proficiency with Git and CI/CD best practices.</li></ul><p></p><p><b><br>
Preferred Qualifications:</b></p><ul><li>Certifications such as Azure Data Engineer Expert, Azure Solutions Architect, or equivalent.</li><li>Hands-on experience with the OSDU&trade; Data Platform.</li><li>Experience in Oil &amp; Gas, energy, or industrial data environments.</li><li>Understanding of cybersecurity considerations for OT environments and data segregation.</li><li>Experience integrating data from ERP systems like SAP.</li><li>Experience working within AI-first or analytics-driven transformation programs.</li><li>Advanced SQL skills, including query optimization and performance tuning.</li><li>Knowledge of containerization technologies (Docker, Kubernetes).</li><li>Experience of constructing and maintaining enterprise knowledge graphs.</li></ul></div></div></div><p></p>

Data Architect (Category - Architect) (Doha)

Iberdrola

<div><div>IBERDROLA is a leading multinational group in the Energy sector, world leader in Renewable Energies and Sustainability, and one of the world's top power companies, with operations in Spain, United Kingdom, Australia, USA and Latin America, as well as the Middle East. Iberdrola is number one Spanish energy group by market capitalization.</div><div></div><div>
As part of its international bet on innovation, Iberdrola has set up a world-class global Innovation Center at the Qatar Science and Technology Park (QSTP). Aiming at <i>Defining the Digital Utility</i>, Iberdrola Innovation Middle East (ME) works at the intersection of energy and digital technologies, focusing on three key innovation and product development areas: smart grids, renewable energy integration and smart solutions for our customers. <div>https://www.iberdrola.com/innovation/innovation-middle-east-qatar</div></div><div></div><div>
We are a highly dynamic and diverse team, catering for very different profiles and nationalities, engaged in the mission of making this world more sustainable through AI solutions and applications.</div><div></div><div>
The Position</div><div></div><div>
The Company is currently expanding its technical teams and is looking for Senior Software Developer with strong backend knowledge and experience to strengthen its digital product development capabilities.</div><div>
We are looking for candidates who combine deep software engineering expertise with a strategic mindset for designing cloud-native, data-driven architectures. The ideal candidate has a strong background in backend development, CI/CD pipelines, and modern cloud platforms, and is comfortable working across software, infrastructure, and data layers. Prior experience with SCADA systems, industrial IoT, or mission-critical architectures in the energy sector is highly valued. This role requires both hands-on technical skills and the ability to guide cross-functional teams in building scalable, maintainable, and secure digital platforms.</div><div></div><div>
Jobs to be done</div><ul><li>
Lead the design and evolution of cloud-native architectures for scalable, maintainable, and secure digital platforms, with a strong emphasis on Google Cloud, while also leveraging experience with AWS and/or Azure.</li><li>
Architect and implement distributed backend systems and microservices using Java or NodeJS (with TypeScript) and, eventually, Python, following best practices in performance, resilience, and security.</li><li>
Design and govern Kubernetes-based deployment strategies across environments, ensuring robust container orchestration, service mesh integration, and operational observability.</li><li>
Define and drive the adoption of architectural standards, technical design patterns, and cloud governance practices across engineering teams.</li><li>
Provide expert guidance on CI/CD pipeline design using tools like Cloud Build, or GitHub Actions.</li><li>
Act as a technical mentor for junior developers, fostering a culture of architectural thinking, system ownership, and continuous improvement.</li><li>
Collaborate with cross-functional stakeholders to translate business and operational requirements into scalable and future-proof technical solutions.</li><li>
Maintain high-quality documentation of architectural decisions, interfaces, and infrastructure blueprints using internal wikis, diagrams, and Confluence spaces.</li></ul><div></div><div>
Requirements:</div><ul><li>
Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical discipline.</li><li>
8+ years of professional experience in software engineering.</li><li>
Advanced proficiency in Java (preferred) and/or NodeJS or Python, with strong understanding of scalable backend architectures.</li><li>
Proven expertise in designing RESTful and event-driven APIs, microservices, and distributed systems.</li><li>
Deep knowledge of containerization (Docker) and orchestration with Kubernetes, including production-grade deployments.</li><li>
Demonstrated experience working with cloud-native platforms, ideally with hands-on expertise in Google Cloud Platform (preferred), plus working knowledge of AWS and/or Azure.</li><li>
Experience working with CI/CD design using tools like Cloud Build, GitHub Actions, or equivalent.</li><li>
Comfortable working with relational and NoSQL databases, including performance and scalability trade-offs.</li><li>
Excellent leadership, communication, and collaboration skills across technical and business stakeholders.</li><li>
Ability to translate business and operational needs into scalable, secure, and maintainable technical architectures.</li></ul><div></div><div>
Preferred qualifications:</div><ul><li>
Experience integrating software platforms with industrial systems such as SCADA or other industrial IoT protocols.</li><li>
Experience with digital twins, asset modeling, or time-series data platforms in energy or industrial contexts.</li><li>
Understanding of DevSecOps principles and cloud security best practices.</li><li>
Professional certifications in cloud architecture (e.g., Google Professional Cloud Architect, Azure Solutions Architect, or AWS Certified Solutions Architect).</li><li>
Experience building multi-tenant SaaS or PaaS platforms and multi-region deployments.</li><li>
Experience with serverless technologies (Cloud Functions, Cloud Run, Azure Functions, Lambda).</li><li>
Agile methodology certifications (e.g., Scrum Master, SAFe Agilist) and familiarity with tools like Jira or Azure Boards.</li><li>
English proficiency at C1/C2 level, with excellent written and verbal communication skills.</li></ul><div></div><div>
Years of experience</div><ul><li>
Senior professionals (+8 years of relevant experience) will be considered in the selection process. 5-8 years' experience profiles could be considered if they are outstanding.</li></ul><div></div><div>
Personal Skill set</div><ul><li>
Balance between structured thinking and creative problem solving.</li><li>
Ownership mindset and attention to detail.</li><li>
Team player with collaborative spirit and strong communication skills.</li><li>
Willingness to learn and adapt to evolving technologies and tools.</li><li>
Ability to thrive in a fast-paced, innovation-driven environment.</li><li>
Interest in contributing to a more sustainable world through technology.</li></ul><div></div><div>
Mobility Information</div><div>
Please note that any applicant who is not a citizen of the country of the vacancy will be subject to compliance with the applicable immigration requirements to legally work in that country.</div><div></div><div>
Job Posting End Date:</div>
January-31-2026</div>

Senior Software Developer

<div>
 <strong>
  IBERDROLA
 </strong>
 is a leading multinational group in the Energy sector, world leader in Renewable Energies and Sustainability, and one of the world's top power companies, with operations in Spain, United Kingdom, Australia, USA and Latin America, as well as the Middle East. Iberdrola is number one Spanish energy group by market capitalization.
 <br/>
 <br/>
 As part of its international bet on innovation, Iberdrola has set up a world-class global Innovation Center at the Qatar Science and Technology Park (QSTP). Aiming at
 <em>
  Defining the Digital Utility
 </em>
 , Iberdrola Innovation Middle East (ME) works at the intersection of energy and digital technologies, focusing on three key innovation and product development areas: smart grids, renewable energy integration and smart solutions for our customers. https://www.iberdrola.com/innovation/innovation-middle-east-qatar
 <br/>
 <br/>
 We are a highly dynamic and diverse team, catering for very different profiles and nationalities, engaged in the mission of making this world more sustainable through AI solutions and applications.
 <br/>
 <br/>
 <strong>
  The Position
  <br/>
  <br/>
 </strong>
 The Company is currently expanding its technical teams and is looking for Senior Software Developer with strong backend knowledge and experience to strengthen its digital product development capabilities.
 <br/>
 <br/>
 We are looking for candidates who combine deep software engineering expertise with a strategic mindset for designing cloud-native, data-driven architectures. The ideal candidate has a strong background in backend development, CI/CD pipelines, and modern cloud platforms, and is comfortable working across software, infrastructure, and data layers. Prior experience with SCADA systems, industrial IoT, or mission-critical architectures in the energy sector is highly valued. This role requires both hands-on technical skills and the ability to guide cross-functional teams in building scalable, maintainable, and secure digital platforms.
 <br/>
 <br/>
 <strong>
  Jobs to be done
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Lead the design and evolution of cloud-native architectures for scalable, maintainable, and secure digital platforms, with a strong emphasis on Google Cloud, while also leveraging experience with AWS and/or Azure.
  </li>
  <li>
   Architect and implement distributed backend systems and microservices using Java or NodeJS (with TypeScript) and, eventually, Python, following best practices in performance, resilience, and security.
  </li>
  <li>
   Design and govern Kubernetes-based deployment strategies across environments, ensuring robust container orchestration, service mesh integration, and operational observability.
  </li>
  <li>
   Define and drive the adoption of architectural standards, technical design patterns, and cloud governance practices across engineering teams.
  </li>
  <li>
   Provide expert guidance on CI/CD pipeline design using tools like Cloud Build, or GitHub Actions.
  </li>
  <li>
   Act as a technical mentor for junior developers, fostering a culture of architectural thinking, system ownership, and continuous improvement.
  </li>
  <li>
   Collaborate with cross-functional stakeholders to translate business and operational requirements into scalable and future-proof technical solutions.
  </li>
  <li>
   Maintain high-quality documentation of architectural decisions, interfaces, and infrastructure blueprints using internal wikis, diagrams, and Confluence spaces.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical discipline.
  </li>
  <li>
   8+ years of professional experience in software engineering.
  </li>
  <li>
   Advanced proficiency in Java (preferred) and/or NodeJS or Python, with strong understanding of scalable backend architectures.
  </li>
  <li>
   Proven expertise in designing RESTful and event-driven APIs, microservices, and distributed systems.
  </li>
  <li>
   Deep knowledge of containerization (Docker) and orchestration with Kubernetes, including production-grade deployments.
  </li>
  <li>
   Demonstrated experience working with cloud-native platforms, ideally with hands-on expertise in Google Cloud Platform (preferred), plus working knowledge of AWS and/or Azure.
  </li>
  <li>
   Experience working with CI/CD design using tools like Cloud Build, GitHub Actions, or equivalent.
  </li>
  <li>
   Comfortable working with relational and NoSQL databases, including performance and scalability trade-offs.
  </li>
  <li>
   Excellent leadership, communication, and collaboration skills across technical and business stakeholders.
  </li>
  <li>
   Ability to translate business and operational needs into scalable, secure, and maintainable technical architectures.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience integrating software platforms with industrial systems such as SCADA or other industrial IoT protocols.
  </li>
  <li>
   Experience with digital twins, asset modeling, or time-series data platforms in energy or industrial contexts.
  </li>
  <li>
   Understanding of DevSecOps principles and cloud security best practices.
  </li>
  <li>
   Professional certifications in cloud architecture (e.g., Google Professional Cloud Architect, Azure Solutions Architect, or AWS Certified Solutions Architect).
  </li>
  <li>
   Experience building multi-tenant SaaS or PaaS platforms and multi-region deployments.
  </li>
  <li>
   Experience with serverless technologies (Cloud Functions, Cloud Run, Azure Functions, Lambda).
  </li>
  <li>
   Agile methodology certifications (e.g., Scrum Master, SAFe Agilist) and familiarity with tools like Jira or Azure Boards.
  </li>
  <li>
   English proficiency at C1/C2 level, with excellent written and verbal communication skills.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Years Of Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Senior professionals (+8 years of relevant experience) will be considered in the selection process. 5-8 years' experience profiles could be considered if they are outstanding.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Personal Skill set
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Balance between structured thinking and creative problem solving.
  </li>
  <li>
   Ownership mindset and attention to detail.
  </li>
  <li>
   Team player with collaborative spirit and strong communication skills.
  </li>
  <li>
   Willingness to learn and adapt to evolving technologies and tools.
  </li>
  <li>
   Ability to thrive in a fast-paced, innovation-driven environment.
  </li>
  <li>
   Interest in contributing to a more sustainable world through technology.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Informaci&oacute;n Movilidad
  <br/>
  <br/>
 </strong>
 Tenga en cuenta que cualquier solicitante que no sea ciudadano del pa&iacute;s de la vacante estar&aacute; sujeto al cumplimiento de los requisitos de inmigraci&oacute;n aplicables para trabajar legalmente en ese pa&iacute;s.
 <br/>
 <br/>
 January-31-2026
</div>


<div>
 <p>
  <strong>
   AI Architect &ndash; Doha - Up to 30,000 QAR
  </strong>
 </p>
 <p>
  The AI Architect will be responsible for designing end-to-end AI solutions that enable organisations to adopt advanced automation, analytics, and intelligent systems at scale. This role focuses on creating practical, outcome-driven AI architectures that integrate seamlessly with existing enterprise platforms and deliver measurable business value.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <p>
  <strong>
   AI Architecture &amp; Solution Delivery
  </strong>
 </p>
 <ul>
  <li>
   Design and implement scalable AI architectures using cloud-native platforms such as Azure AI Foundry and Google&rsquo;s AI/ML ecosystem.
  </li>
  <li>
   Leverage pre-built services (NLP, computer vision, predictive modelling, conversational agents) to accelerate delivery.
  </li>
  <li>
   Develop solution blueprints aligned with organisational goals and broader digital transformation initiatives.
  </li>
 </ul>
 <p>
  <strong>
   Enterprise Integration &amp; Data Engineering
  </strong>
 </p>
 <ul>
  <li>
   Integrate AI workloads with core enterprise systems (ERP, CRM, operational platforms, data warehouses).
  </li>
  <li>
   Connect structured and unstructured data sources using APIs, middleware, and automation tools.
  </li>
  <li>
   Build and optimise data pipelines to support model training, inference, and continuous improvement.
  </li>
 </ul>
 <p>
  <strong>
   AI Governance, Security &amp; Risk
  </strong>
 </p>
 <ul>
  <li>
   Ensure compliance with global and regional data-protection frameworks (GDPR, HIPAA equivalents, local regulations).
  </li>
  <li>
   Monitor and manage risks related to model bias, transparency, explainability, and trust.
  </li>
  <li>
   Apply robust security and governance standards across all AI deployments.
  </li>
 </ul>
 <p>
  <strong>
   Applied AI Implementation
  </strong>
 </p>
 <ul>
  <li>
   Deploy and customise AI models for real-world use cases across different business functions.
  </li>
  <li>
   Configure conversational AI, intelligent agents, and knowledge systems to support operational requirements.
  </li>
  <li>
   Assess updates from cloud vendors and drive continuous enhancement of AI capabilities.
  </li>
 </ul>
 <p>
  <strong>
   Stakeholder Collaboration &amp; Advisory
  </strong>
 </p>
 <ul>
  <li>
   Work closely with technical and business teams to identify opportunities for applied AI adoption.
  </li>
  <li>
   Communicate complex AI concepts in a clear, practical manner to non-technical stakeholders.
  </li>
  <li>
   Guide teams through AI-enabled transformation, ensuring solutions deliver measurable impact.
  </li>
 </ul>
 <p>
  <strong>
   Performance Engineering &amp; Scalability
  </strong>
 </p>
 <ul>
  <li>
   Optimise AI architectures for speed, performance, and reliability.
  </li>
  <li>
   Implement monitoring frameworks, KPIs, and continuous optimisation cycles.
  </li>
  <li>
   Assess ROI and operational impact of AI deployments.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications &amp; Experience
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    8+ years
   </strong>
   in solution architecture, with
   <strong>
    4+ years
   </strong>
   focused on applied AI/ML projects.
  </li>
  <li>
   Bachelor&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Preferred Certifications
  </strong>
 </p>
 <ul>
  <li>
   AI development or architecture certifications (e.g., Microsoft Certified AI Engineer/Architect).
  </li>
  <li>
   Azure AI Foundry, Google Cloud AI/ML credentials.
  </li>
  <li>
   Software engineering or solution architecture certifications.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Skills
  </strong>
 </p>
 <ul>
  <li>
   Strong expertise in AI solution development and applied AI delivery.
  </li>
  <li>
   Deep knowledge of AI concepts, frameworks, models, and lifecycle management.
  </li>
  <li>
   Ability to perform architecture evaluations, scenario modelling, component design, and impact assessments.
  </li>
  <li>
   Strong understanding of SDLC, requirements gathering, and technical design.
  </li>
  <li>
   Proficiency with Azure AI Foundry and enterprise-grade AI orchestration.
  </li>
  <li>
   Hands-on experience with Google Agent Builder, multi-agent systems, and associated SDKs.
  </li>
  <li>
   Knowledge of advanced RAG techniques for enterprise knowledge management.
  </li>
  <li>
   Strong database and data-architecture skills (SQL, NoSQL, vector DBs, knowledge graphs).
  </li>
  <li>
   Ability to design secure, scalable, high-performing AI systems.
  </li>
  <li>
   Excellent communication and stakeholder engagement skills.
  </li>
 </ul>
</div>


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