electrical technician

generator technician

it technician

student support specialist

system engineer

it support technician

Confidential

<h2>Job Summary</h2><p>The Multi-Skilled Facilities Technician will perform preventive, corrective, and reactive <strong>electromechanical maintenance</strong> across electrical, mechanical, HVAC, air-conditioning, and cooling systems.</p><h2>Key Responsibilities</h2><ul><li>Perform planned and reactive maintenance.</li><li>Troubleshoot electrical and mechanical faults.</li><li>Maintain HVAC, air-conditioning, and cooling systems.</li><li>Conduct routine equipment and system inspections.</li><li>Identify and report defects and maintenance requirements.</li><li>Support reliable operation of electromechanical systems.</li><li>Respond to technical faults and work orders.</li><li>Coordinate complex issues with supervisors and engineers.</li></ul><h2>Requirements</h2><ul><li>Technical qualification in <strong>Mechanical or Electrical</strong> disciplines.</li><li>Minimum <strong>6 years' total experience</strong>.</li><li><strong>3 years' experience within schools and kindergartens.</strong></li><li>Strong electrical, mechanical, HVAC, and cooling knowledge.</li><li>Good electromechanical troubleshooting capabilities.</li><li>Relevant professional technical certifications preferred.</li><li>Good communication skills.</li><li>English required; Arabic preferred.</li></ul>

Multi-Skilled Facilities Technician

Dallah Holding Media

<h2>Job Summary</h2><p>We are looking for a Senior IT Operations Specialist to manage and support IT infrastructure, systems, cybersecurity, and day-to-day technology operations across the organization.</p><p>The successful candidate will be responsible for maintaining reliable and secure IT systems, providing advanced technical support, managing Microsoft technologies and infrastructure, coordinating with technology vendors, and supporting the continuous improvement of IT operations.</p><p> </p><h2>Key Responsibilities</h2><ul><li>Manage and support IT infrastructure, networks, servers, endpoints, and related systems.</li><li>Administer Microsoft 365, Microsoft Intune, Azure, and Active Directory environments.</li><li>Manage endpoint devices, user accounts, access, and IT assets.</li><li>Support backup, recovery, data protection, and business continuity processes.</li><li>Monitor system performance, availability, security, and overall infrastructure health.</li><li>Troubleshoot and resolve complex Tier 2 and Tier 3 technical issues.</li><li>Support cybersecurity, vulnerability management, access controls, and information security practices.</li><li>Manage employee IT onboarding and offboarding, including user accounts, devices, and access.</li><li>Maintain accurate technical documentation, procedures, asset records, and IT knowledge resources.</li><li>Manage and coordinate with IT vendors, software providers, hardware suppliers, and service providers.</li><li>Review software licenses, IT services, and infrastructure requirements to identify opportunities for cost optimization.</li><li>Support the evaluation and implementation of new IT tools, systems, and technology solutions.</li><li>Assist with internal IT projects, system upgrades, digital workplace solutions, and technology improvements.</li><li>Prioritize technical incidents and infrastructure requirements according to business needs.</li><li>Provide occasional after-hours or weekend support when required for critical incidents or planned technology activities.</li></ul><p> </p><h2>Requirements</h2><ul><li>Bachelor's degree in Information Technology, Computer Science, Management Information Systems, or a related field.</li><li>7–10 years of relevant experience in IT infrastructure, systems administration, and technical support.</li><li>Minimum 3-5 years of experience in a senior, supervisory, technical lead, or similar capacity.</li><li>Strong hands-on experience with Microsoft 365, Microsoft Intune, Azure, and Endpoint Management.</li><li>Good knowledge of Active Directory and Hybrid Active Directory environments.</li><li>Experience with backup and recovery solutions such as Veeam.</li><li>Practical experience with network infrastructure, firewalls, and network security.</li><li>Experience in information security, cybersecurity controls, compliance, vulnerability management, and audit readiness.</li><li>Experience with IT vendors, software licensing, and technology cost optimization.</li><li>Strong troubleshooting and problem-solving abilities.</li><li>Good technical documentation and stakeholder communication skills.</li><li>Ability to work independently, manage priorities, and support multiple business requirements.</li><li>Willingness to provide occasional after-hours or weekend support when required.</li></ul>

Senior IT Operations Specialist

Dautom

<div>
 <p>
  <strong>
   Client Introduction:
  </strong>
 </p>
 <p>
  In this role, you will collaborate closely with one of our esteemed clients&mdash;a globally recognized leader in their industry, distinguished by their commitment to excellence, innovation, and delivering exceptional value. As a trusted IT consulting partner,
  <strong>
   Dautom
  </strong>
  is supporting their strategic initiatives by connecting them with exceptional talent to drive business growth and transformation.
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are looking for an experienced
  <strong>
   Technical Lead / Senior Full Stack Engineering Lead
  </strong>
  who can lead engineering teams and work on scalable, cloud-based applications.
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    Job Role:
   </strong>
   Full Stack Technical Lead
  </li>
  <li>
   <strong>
    Work Location:
   </strong>
   Qatar
  </li>
  <li>
   <strong>
    Employment Type:
   </strong>
   3-6 months extendable
  </li>
  <li>
   <strong>
    Notice period:
   </strong>
   30 days maximum
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   🔹 Technical Skills
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Full Stack Development
  </strong>
 </p>
 <ul>
  <li>
   Node.js, JavaScript, TypeScript, Python
  </li>
  <li>
   React and Next.js
  </li>
  <li>
   REST APIs, GraphQL and event-driven architecture
  </li>
  <li>
   Microservices and modular architecture
  </li>
  <li>
   SQL &amp; NoSQL databases
  </li>
  <li>
   Data modelling and query optimisation
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Cloud &amp; DevOps
  </strong>
 </p>
 <ul>
  <li>
   CI/CD: GitHub Actions, GitLab CI or Azure DevOps
  </li>
  <li>
   Infrastructure-as-Code: Terraform or Pulumi
  </li>
  <li>
   Docker &amp; Kubernetes
  </li>
  <li>
   Blue-green and canary deployment strategies
  </li>
  <li>
   Strong expertise in
   <strong>
    AWS, Azure or GCP
   </strong>
  </li>
  <li>
   Working knowledge of the other major cloud platforms
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Observability &amp; Reliability
  </strong>
 </p>
 <ul>
  <li>
   Logging, metrics and distributed tracing
  </li>
  <li>
   Alerting and monitoring
  </li>
  <li>
   SLOs and service reliability
  </li>
  <li>
   Incident management and production support
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Experience
  </strong>
 </p>
 <ul>
  <li>
   10+ years engineering, including 3+ years leading teams
  </li>
  <li>
   Client-facing or consulting delivery experience preferred
  </li>
  <li>
   Exposure to regulated or government-sector engagements is a plus
  </li>
  <li>
   Pre-sales exposure: solutioning, estimation, proposal support
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  If this opportunity aligns with your expertise and career aspirations, we invite you to share your updated resume at
  <strong>
   shaloo.rani@dautom.com
  </strong>
  .
 </p>
 <p>
  <br/>
 </p>
 <p>
  Our team will be pleased to connect with suitable candidates for further discussions.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About Dautom
  </strong>
 </p>
 <p>
  Dautom is a globally recognized IT consulting and technology services organization committed to enabling digital transformation through innovation, expertise, and a people-centric approach.
 </p>
 <p>
  We partner with leading organizations across industries to accelerate business growth by delivering exceptional talent, strategic IT consulting services, and innovative technology solutions. With a strong global presence and deep industry expertise, Dautom empowers businesses to enhance operational excellence, embrace digital evolution, and achieve sustainable success.
 </p>
</div>


Full Stack Technical Lead

GROUPE SAUR

<p></p><div><p>As a pure player in water and essential services, <b>Saur</b> works to protect the environment in the heart of the territories it serves.</p><p>
Saur has always acted to offer the same quality of service to small towns as to large cities, guided by its mission: to restore to water the value it deserves.</p><p>
At a time when the challenges of the ecological transition are central to the problems faced by society worldwide, Saur is reasserting its commitments to take action, advocating and rallying all stakeholders to ensure a safer world for future generations.</p><p>
Further details on our web site: http://www.saur.com/</p><p>
We are currently looking for a <b>Technical &amp; Asset Manager, for Doha, Qatar.</b></p><p><br>
</p><p><b>Mission:</b></p><ul><li><p>
Lead six key functions covering <b>Asset Management, GIS, Handover/Takeover, IT &amp; OT, Innovation, and Technical Studies</b>, ensuring the reliability, performance, digitalization, and continuous improvement of water and wastewater infrastructure.</p></li></ul><p></p><p><b>
Responsibilities</b>:</p><ul><li><p><b>
Asset Management:</b> lifecycle optimization, asset inventory, preventive maintenance, CMMS/Maximo, reliability, RCM/FMECA and RCA.</p></li><li><p><b>
GIS:</b> management of sewer, stormwater, groundwater and TSE network data, mapping, operational information and maintenance support.</p></li><li><p><b>
Handover/Takeover:</b> technical and operational readiness of new facilities, commissioning, documentation, training, spare parts, Maximo and HSE preparation.</p></li><li><p><b>
IT &amp; OT:</b> management of IT infrastructure, cybersecurity, SCADA, PLC/RTU, automation, telemetry and instrumentation.</p></li><li><p><b>
Innovation:</b> digital transformation, smart asset management, predictive maintenance, AI, remote monitoring, energy efficiency, climate resilience and sustainability.</p></li><li><p><b>
Technical Studies:</b> engineering studies, improvement proposals, technical-commercial offers, operational defect resolution and studies for new facilities.</p></li><li><p><b>
Leadership:</b> manage multidisciplinary teams and coordinate with clients, contractors, surveyors, maintenance teams and SAUR Group technical resources.</p></li></ul><p></p><p><b>
Requirements</b>:</p><ul><li><p>
Bachelor's degree in Engineering (Civil, Mechanical, Electrical, Environmental or related field); Master's degree is an advantage.</p></li><li><p>
Minimum 10&ndash;15 years of experience in asset management, infrastructure operations, or utilities (water/wastewater sector preferred), in the water or wastewater fields.</p></li><li><p>
Proven experience managing multidisciplinary teams across engineering, maintenance, GIS, IT/OT, and technical projects.</p></li><li><p>
Strong knowledge of Asset Management principles, lifecycle planning, reliability engineering (RCM, FMECA, RCA), and preventive maintenance strategies.</p></li><li><p>
Good understanding of GIS systems and spatial asset management.</p></li><li><p>
Experience in commissioning, handover/takeover of infrastructure assets, and technical documentation management.</p></li><li><p>
Strong analytical, project management, and problem-solving skills.</p></li><li><p>
Fluent in English. Arabic fluency is an advantage</p></li><li><p>
Excellent stakeholder management and negotiation skills.</p></li></ul><p></p><p><i><br>
SAUR is a company committed to diversity and equal opportunities. In this way, the selection process ensures that all candidates have an equal opportunity to apply without distinction as to race, colour, religion, sex, national origin, age, sexual orientation, gender identity or any other characteristic protected by law</i></p></div>

Technical & Asset Manager - Doha, Qatar

malomatia

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 To define technical approach to AI agents, orchestration frameworks, and responsible AI practices while working closely with engineering teams, product managers, and business stakeholders to bring cutting-edge AI capabilities to production.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 Lead AI solutions design and implementation
 <br/>
 <br/>
 <ul>
  <li>
   Serve as the primary technical advisor on generative AI initiatives
  </li>
  <li>
   Lead proof-of-concept development and architectural decision records
  </li>
  <li>
   Mentor engineering teams on agentic AI patterns and best practices
  </li>
  <li>
   Evaluate emerging technologies and maintain technical roadmaps
  </li>
  <li>
   Design and architect AI agent systems and multi-agent workflows for enterprise use cases
  </li>
  <li>
   Evaluate and implement agent frameworks including LangGraph, Microsoft Agent Framework, OpenAI Agents SDK, Google Agent-to-Agent (A2A), and emerging standard
  </li>
  <li>
   Architect tool-use patterns, function calling, MCP, and agent-to-agent communication protocols
  </li>
  <li>
   Design for agent observability, debugging, and human-in-the-loop workflows
  </li>
  <li>
   Design retrieval-augmented generation architectures and architect vector database solutions, embedding strategies, implement chunking strategies, hybrid search, and re- ranking approaches for optimal retrieval performance
  </li>
  <li>
   Design knowledge graphs and structured data integration with generative AI systems
  </li>
  <li>
   Lead architecture decisions across cloud AI platforms including Azure AI Foundry, Google Vertex AI, OpenAI APIs, and open-source Gen AI models
  </li>
  <li>
   Design prompt management, versioning, and optimization pipelines
  </li>
  <li>
   Architect for multi-model strategies, model routing, and fallback patterns
  </li>
  <li>
   Establish patterns for cost optimization, latency management, and scaling LLM workloads
  </li>
  <li>
   Define comprehensive evaluation frameworks for LLM applications and agent systems
  </li>
  <li>
   Implement automated evaluation pipelines using frameworks such as RAGAS, DeepEval, and custom evaluation harnesses
  </li>
  <li>
   Establish benchmarks for response quality, factual accuracy, task completion, and user satisfaction
  </li>
  <li>
   Champion responsible AI practices including safety, fairness, transparency, and privacy
  </li>
  <li>
   Implement guardrails, content filtering, and output validation systems
  </li>
  <li>
   Design for prompt injection prevention, data leakage protection, and secure agent execution
  </li>
  <li>
   Ensure compliance with emerging AI regulations and industry standards
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree in Computer Science, Engineering, or related field; Master's preferred. Arabic Speaker.
  </li>
  <li>
   8+ years of experience in software engineering or architecture roles
  </li>
  <li>
   3+ years of hands-on experience building LLM-powered applications in production
  </li>
  <li>
   Deep expertise in AI agent architectures, orchestration patterns, and workflow design
  </li>
  <li>
   Strong experience with at least two of the following: LangChain/LangGraph, Microsoft Semantic Kernel/Agent Framework, OpenAI Agents SDK, Google Vertex AI Agent Builder
  </li>
  <li>
   Proven experience designing and implementing Advanced RAG Systems and Agentic AI
  </li>
  <li>
   Proficiency in Python and experience with async programming patterns
  </li>
  <li>
   Hands-on experience with cloud AI platforms (Azure AI Foundry or Google Vertex AI)
  </li>
  <li>
   Strong understanding of Gen AI models&rsquo; fundamentals including prompting, fine-tuning, context windows, and token economics
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience implementing Model Context Protocol (MCP), Google Agent-to-Agent (A2A) protocol, and multi-agent communication patterns
  </li>
  <li>
   Experience building AI Evals pipelines and AI quality assurance systems
  </li>
  <li>
   Knowledge of advanced RAG techniques: query decomposition, multi-hop reasoning, GraphRAG
  </li>
  <li>
   Experience with AI observability tools
  </li>
  <li>
   Background in AI safety, red-teaming, or responsible AI implementation.
   <br/>
   <br/>
  </li>
 </ul>
 Skills &amp; Competencies
 <br/>
 <br/>
 <ul>
  <li>
   Systems thinking with ability to design for complexity and emergence in agentic systems
  </li>
  <li>
   Strong communication skills to convey AI concepts to diverse audiences
  </li>
  <li>
   Pragmatic approach balancing innovation with production readiness
  </li>
  <li>
   Ability to rapidly learn evolving AI technologies
  </li>
  <li>
   Commitment to ethical AI development and user safety
  </li>
  <li>
   Collaborative mindset with ability to influence across organizational boundaries
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About Malomatia
  <br/>
  <br/>
 </strong>
 <strong>
  ABOUT US
  <br/>
  <br/>
 </strong>
 malomatia is a leading Qatar-based IT services and solutions provider, bringing together top Qatari and international talent to deliver innovative, end-to-end technology solutions that empower clients to achieve their strategic goals.
 <br/>
 <br/>
 <strong>
  Our mission
  <br/>
  <br/>
 </strong>
 Empowering Qatar&rsquo;s businesses and governments to leap into the digital future with agile, knowledge-driven solutions.
 <br/>
 <br/>
 <strong>
  Our vision
  <br/>
  <br/>
 </strong>
 To become Qatar&rsquo;s trusted knowledge partner in digital transformation, disrupting industries, shaping the future, and building a world-class tech ecosystem.
 <br/>
 <br/>
 <strong>
  Driving change that makes a real impact
  <br/>
  <br/>
 </strong>
 Since 2008, malomatia has been driving Qatar&rsquo;s digital transformation through innovative, ISO-certified IT solutions. With expertise across key public and private sectors, we empower the nation&rsquo;s vision with advanced services in cloud, cybersecurity, AI, and contact center excellence, elevating the role of technology in shaping Qatar&rsquo;s sustainable future.
 <br/>
 <br/>
 <strong>
  About The Team
  <br/>
  <br/>
 </strong>
 Established in 2008, malomatia is a Qatari leader in IT services and digital transformation. We serve key sectors including Government, Healthcare, Education, Customs, and Transportation, delivering impactful solutions that support national development goals. Powered by a diverse team of skilled Qatari and international IT professionals, we deliver innovative, high-value digital solutions tailored to the unique needs of our clients.
 <br/>
 <br/>
 Our mission is to inspire customers to thrive through digital excellence, and we envision becoming the trusted partner of choice in building a smarter society through technology and talent. We are driven by core values that define our culture and approach: ownership, integrity, empathy, teamwork, transparency, agility, excellence, trust, and innovation.
 <br/>
 <br/>
 Join us in shaping the future of technology in Qatar
</div>


Senior Consultant - AI Solution Architect

Qatar Airways

<div><div><div><div><div><div><h3 class="jobSectionHeader"><b>General Information
</b></h3></div></div><div><div><div><div>Ref #
</div><div>236397
</div></div><div><div>Location
</div><div>Qatar-Doha
</div></div><div><div>Job family
</div><div>Corporate &amp; Commercial
</div></div><div><div><ul><li>Closing Date: 2026-09-13</li></ul><br>
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Description
</b></h3></div></div><div><div><div><div><p><b>About the Role</b></p><p>
Responsible to lead the discovery, rapid prototyping and applied experimentation of artificial intelligence and emerging technologies that convert business ideas into working concepts, proofs of values (PoVs), minimum viable products (MVPs) and pilots. This role leads the Rapid Prototyping stream within the QRG innovation team, translating frontier technologies into tangible, value-driven outcomes for QRG. The role works closely with cross-functional teams, business owners and ecosystem partners to identify high-value use cases, build and test solutions at speed, validate their business impact, and accelerate the adoption and scale-up of the most promising innovations. The role is also responsible to continuously scan, evaluate and apply the latest advancements in AI, data and frontier technologies to drive innovation..</p><p><b>
Your duties would include:</b></p><ul><li><p>
Rapidly design, build and test prototypes, proofs of values (PoVs) and minimum viable products (MVPs) that convert business ideas and emerging technologies into working, demonstrable solutions.</p></li><li><p>
Lead hands-on development across AI, data, software and connected hardware (IoT), including sensors, edge devices and embedded systems, to validate new concepts in real operational environments.</p></li><li><p>
Collaborate with business teams to identify, frame and prioritise high-value use cases, applying valuedriven thinking to focus effort on ideas with the strongest business impact and return.</p></li><li><p>
Apply advanced AI and machine learning techniques, including generative AI, large language models, action models and enterprise assets, to create innovative, deployable data and technology products.</p></li><li><p>
Define and evaluate appropriate performance and value metrics for prototypes, iteratively enhancing solutions through rapid test-and-learn cycles to achieve the desired level of performance and business value.</p></li><li><p>
Scout, evaluate and experiment with frontier and emerging technologies (e.g., AI, IoT and connected hardware, automation, robotics, digital twins and other advanced technologies) to assess their applicability and value for QRG.</p></li><li><p>
Translate successful PoVs into production-ready solutions by collaborating with software developers, data engineers, hardware specialists and business owners to enable adoption and scale-up.</p></li><li><p>
Analyse large and complex data sets to uncover trends, patterns and insights that inform prototyping priorities and identify opportunities for business improvement.</p></li><li><p>
Communicate technical concepts, prototype outcomes and business value effectively to both technical and non-technical stakeholders, including senior leadership.</p></li><li><p>
Collaborate with cross-functional teams to manage change and embed validated AI, data and frontier technology solutions into business processes.</p></li><li><p>
Stay abreast of the latest advancements in applied AI, emerging technologies and rapid prototyping methods, applying innovative techniques to solve real-world problems.</p></li><li><p>
Ensure compliance with QRG IT Service Management (ISO 20000 framework) and Information Security Management (ISO 27001 framework) Systems and support/achieve its applicable/assigned Key Performance Indicators (KPIs).</p></li><li><p>
Manage the complete lifecycle of assigned prototyping and innovation projects to ensure they are delivered within the agreed scope, time and cost.</p></li><li><p>
Support line manager in development of long-term strategy that is aligned with business objectives.</p></li></ul><p><b>
Be part of an extraordinary story</b></p><p>
Your skills. Your imagination. Your ambition. Here, there are no boundaries to your potential and the impact you can make. You&rsquo;ll find infinite opportunities to grow and work on the biggest, most rewarding challenges that will build your skills and experience. You have the chance to be a part of our future and build the life you want while being part of an international community.</p><p>
Our best is here and still to come. To us, impossible is only a challenge. Join us as we dare to achieve what&rsquo;s never been done before.</p><p>
Together, everything is possible.</p>
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Qualification
</b></h3></div></div><div><div><div><div><p>We are looking for a passionate and experienced professional to join our IT Team. The ideal candidate should possess the following:</p><ul><li><p>
Bachelor&rsquo;s Degree or Equivalent with Minimum 6 years of job-related experience</p></li></ul><p>
Essential</p><ul><li><p>
Strong hands-on prototyping and building skills, able to rapidly develop PoVs, MVPs and pilots and iterate through test-and-learn cycles</p></li><li><p>
Proficiency with applied AI and machine learning, including generative AI, large language models, transfer learning, optimization and model development.</p></li><li><p>
Proficiency in modern AI-assisted &quot;vibe coding&quot; and agentic AI development, using AI coding tools and autonomous/multi-agent frameworks to rapidly build, orchestrate and iterate working solutions.</p></li><li><p>
Strong prompt, context and loop engineering skills, designing reliable prompts, managing context, and building iterative agent loops for robust AI solutions.</p></li><li><p>
Hands-on cloud solution design and deployment across Microsoft Azure and Google Cloud Platform (GCP), including AI and data services</p></li><li><p>
Working knowledge of connected hardware and IoT, including edge computing, sensors and integration of hardware with AI and data solutions.</p></li><li><p>
Proficiency with Data Mining, Mathematics and Statistical Analysis, and sound knowledge of data profiling, data quality measurement and cleaning.</p></li><li><p>
Value-driven thinking, with the ability to identify high-value use cases, prioritise effort and articulate business impact and return on innovation.</p></li><li><p>
Excellent problem-solving skills and a passion for exploring complex data and technology challenges.</p></li><li><p>
Command of English language.</p></li><li><p>
Passionate for AI and frontier technologies, staying up to date with the latest trends and developments in the field.</p></li></ul><p>
Preferred:</p><ul><li><p>
PMP or equivalent certification in project management</p></li><li><p>
ITIL certification</p></li><li><p>
Microsoft Azure, Google GCP Certifications (e.g., Azure AI Engineer)</p></li><li><p>
Hands-on experience building and testing connected hardware / IoT solutions (e.g., sensors, edge devices, microcontrollers or embedded systems) is an advantage</p></li></ul><p><b>
About Qatar Airways Group:</b></p><p>
Our story started with four aircraft. Today, we deliver excellence across 12 different businesses coming together as one. We&rsquo;ve grown fast, broken records and set trends that others follow. We don&rsquo;t slow down by the fear of failure. Instead, we dare to achieve what&rsquo;s never been done before. So, whether you&rsquo;re creating a unique experience for our customers or innovating behind the scenes, every person contributes to our proud story. A story of spectacular growth and determination. Now is the time to bring your best ideas and passion to a place where your ambition will know no boundaries and be part of a truly global community.</p><div><b>
How to Apply</b></div><div>
If you are interested in submitting your application and feel you are a good fit for this role, please complete our application form and upload your CV for our review and consideration.</div>
</div></div><div><div>https://aa115.taleo.net/careersection/QA_External_CS/jobapply.ftl?lang=en&amp;job=236397</div></div></div></div></div></div></div></div><div></div>

Senior AI & Frontier Tech Prototype Specialist

North Oil Company Qatar

<div>
 Job description:
 <br/>
 <br/>
 <strong>
  Key Accountabilities
 </strong>
 <p>
  &nbsp;
 </p>
 <p>
  <strong>
   This will be a definite term contract for 3 years.
  </strong>
 </p>
 <p>
  &nbsp;
 </p>
 <p>
  <strong>
   Evaluate, test, design and enable technology selection and implementation approach to improvement and optimize&nbsp; capabilities and data architecture (including AI &amp; ML) and design of agentic and autonomous AI solutions for enterprise&nbsp; use cases (covering POC, scale-up, and production&nbsp; deployment)
  </strong>
 </p>
 <ul>
  <li>
   Evaluate, test, and design end to end data and AI architectures for enterprise and agentic use cases, covering POC, scale up, and production deployment.
  </li>
  <li>
   Architect enterprise data platforms optimized for AI, ML, and LLM integration and inference at scale.
  </li>
  <li>
   Define AI ready data architecture patterns supporting&nbsp; fine tuning, retrieval augmented generation, and prompt engineering workflows.
  </li>
  <li>
   Design hybrid architectures integrating on premises&nbsp; and cloud based LLM services with enterprise data platforms.
  </li>
  <li>
   Define reference patterns for multi model AI&nbsp; environments operating on shared and governed data.&nbsp;
  </li>
  <li>
   Design semantic layers, indexing, and similarity search for low latency AI workloads.
  </li>
  <li>
   Design enterprise knowledge graph architectures to&nbsp; support reasoning and contextual understanding.
  </li>
  <li>
   Define architectural mechanisms for data refresh,&nbsp; accuracy, relevance, and observability of retrieval performance and latency.
  </li>
  <li>
   Design multi agent architectures for cross functional workflows, including decision logic, tool usage, and&nbsp; interaction patterns for autonomous agents such as&nbsp; &nbsp;Microsoft Fabric Data Agent and Operational Agent.
  </li>
  <li>
   Design guardrails, auditability, and control mechanisms for agent actions, including feedback loops for continuous improvement.
  </li>
  <li>
   Define prompt orchestration patterns for multi-step&nbsp; reasoning aligned with NOC standards.
  </li>
  <li>
   Assess AI models, platforms, and tools using defined evaluation criteria and benchmarking, including proprietary, commercial, and open source options.
  </li>
  <li>
   Review and provide guidance on AI, ML, and advanced analytics architecture artefacts from vendors.
  </li>
 </ul>
 <strong>
  Job Purpose
 </strong>
 <p>
  Responsible for designing and advancing data solutions that strengthen NOC data architecture and evaluating the adoption of emerging technologies within DBS, with a focus on AI, machine learning, and advanced analytics. The role requires deep expertise in Data &amp; AI Architecture /Engineering, cloud platforms,&nbsp;and integration patterns, combined with strong Oil &amp; Gas domain knowledge. It aims to enhance enterprise analytics capabilities by integrating AI/ML models and large-scale data processing frameworks to enable data-driven decision-making and improve operational efficiency.&nbsp;
 </p>
 <p>
  Key Accountabilities:
 </p>
 <ul>
  <li>
   Evaluate, test, design and enable technology selection and implementation approach to improvement and optimize capabilities and data architecture (including AI &amp; ML) and design of agentic and autonomous AI solutions for enterprise use cases (covering POC, scale-up, and production deployment)
  </li>
  <li>
   Provide architectural guidance for data integration, ingestion patterns across enterprise data platforms and advanced analytics solutions in alignment with data modelling and MDM standards
  </li>
  <li>
   Design solutions in alignment with DBS best practices&nbsp; on Data and AI governance, information security controls, EA and PMO standards
  </li>
  <li>
   Review solutions and demands impacting Data Management part of Architecture Review Board (ARB)
   <br/>
   meetings
  </li>
 </ul>
 <strong>
  Key Accountabilities
 </strong>
 <p>
  <strong>
   Provide architectural guidance for data integration, ingestion patterns across enterprise data
  </strong>
  <strong>
   platforms and advanced analytics solutions in alignment with data modelling and MDM standards
  </strong>
 </p>
 <ul>
  <li>
   &nbsp;Design batch and streaming or real time ingestion and integration patterns aligned with NOC standards,&nbsp;
   <br/>
   including Integration Design Documents and design first principles.
  </li>
  <li>
   Define medallion, Kappa, and Lambda architectures as reference patterns.
  </li>
  <li>
   Maintain NOC data architecture for data platforms,&nbsp; digital use cases, demands, and data solutions.&nbsp;
  </li>
  <li>
   Document reference architectures and standard&nbsp; solution patterns for data and AI solutions, including&nbsp; IDD, HLD, LLD, dashboards and reports, model representations, data dictionaries, and data models&nbsp; such as CDM,LDM, and PDM.&nbsp;
  </li>
  <li>
   Ensure alignment of MDM principles with analytics and AI data requirements.
  </li>
  <li>
   Design data pipelines supporting continuous model training, evaluation, deployment, and retraining.
  </li>
  <li>
   Design CI and CD flows for ML models with monitoring for accuracy, latency, and cost.
  </li>
  <li>
   Design cost efficient inference and fine-tuning&nbsp; pproaches with usage tracking and controls..
  </li>
 </ul>
 <p>
  <strong>
   Design solutions in alignment with DBS best practices on Data and AI governance, information security controls, EA and PMO standards
  </strong>
 </p>
 <ul>
  <li>
   Support alignment with data and AI governance to ensure trusted and well governed data usage across&nbsp;
   <br/>
   platforms and advanced analytics.
  </li>
  <li>
   Design privacy preserving architectures for model&nbsp; training and fine tuning.
  </li>
  <li>
   Support definition of security controls and access patterns for data and AI platforms.
  </li>
 </ul>
 <p>
  <strong>
   Review solutions and demands impacting Data Management part of Architecture Review Board (ARB) meetings
  </strong>
 </p>
 <ul>
  <li>
   &nbsp;Support Architecture Review Board and Design Advisory sessions for data, AI, and ML solution reviews and approvals.
  </li>
  <li>
   Support delivery teams through architecture reviews and structured feedback on design artefacts.
  </li>
  <li>
   Identify and review reference solutions, architectures, and case studies to improve NOC architecture.
  </li>
  <li>
   Provide technical guidance to data operations, data governance, and related teams as required.
  </li>
 </ul>
 Competencies   Delegate Appropriately and Communicate Effectively Demonstrate Adaptability in Managing Complex Situations Demonstrate Learning Agility and Drive Innovation Develop Emotional Intelligence and Cultural Competence Develop Others and Institutionalise Knowledge Develop Talent for the Future NOC Sustainability Facilitate Collaboration and Sense of Community Improve Safety, Technical Proficiency and Results Lead By Example with NOC Values Set Purpose, Strategic Direction and Company Plan Strengthen Accountability and Continuous Improvement Think and Act in Stakeholder-Centric Ways
 <strong>
  Education
 </strong>
 <p>
  &nbsp;
 </p>
 <ul>
  <li>
   Bachelor of Computer Science or Computer Engineering or relevant degree
  </li>
  <li>
   Specialization and certification in AI, ML engineering and/or Data Science.
  </li>
 </ul>
 <strong>
  Experience
 </strong>
 <p>
  &nbsp;
 </p>
 <ul>
  <li>
   Minimum of 8 years relevant experience in technical implementation of AI solutions. Designing data architectures, developing AI models, and ensuring the technical robustness of AI systems.
  </li>
  <li>
   Experience with machine learning techniques, such as Supervised/Unsupervised Learning, Deep Learning (e.g., Neural Networks, CNNs, RNNs), Natural Language&nbsp; Processing (NLP), Computer Vision and Text Analytics
  </li>
  <li>
   Hands on Experience with data agents, operational agent and Agentic AI
  </li>
  <li>
   Proven track record of delivering successful AI /Data digital products in the industry.
  </li>
 </ul>
 <p>
  <strong>
   Job-Specific Skills (Generic / Technical):
  </strong>
 </p>
 <ul>
  <li>
   Experience in AI Ready Data platforms &amp; Data architecture and data engineering foundation, technical
   <br/>
   implementation of AI solutions. Designing data&nbsp; architectures, developing AI models, and ensuring the
   <br/>
   technical robustness of AI systems.
  </li>
  <li>
   Strong understanding of software development life cycle (SDLC) and DevOps Practices.
  </li>
  <li>
   Strong hands-on Experience in AI and ML architecture, including Agentic and autonomous AI &amp; ML Ops Life cycle includes running POC to scale up solutions&nbsp;
  </li>
  <li>
   Strong Experience of design pipelines for model&nbsp; training, evaluation, and retraining including CI/CDD
  </li>
  <li>
   Excellent problem-solving skills and attention to detail.
  </li>
  <li>
   Strong communication and teamwork abilities.
  </li>
  <li>
   Ability to work independently.
  </li>
  <li>
   Experience with agile tools and software, such as Jira, Confluence, or similar.
  </li>
  <li>
   Experience on Projects using Industry Data Platforms (such as OSDU or Cognite Date Fusion) would be a plus
  </li>
 </ul>
</div>


Data Architect

Explore 47+ It support technician in Doha this September. Find roles across top companies and apply now to boost your career.