architect

civil engineer

draftsman

mechanical draftsman

planning engineer

architectural draftsman

Gulf Consulting Group

We are seeking a motivated and skilled Architectural Engineer to join our team. The selected candidate will assist the design team in delivering architectural and interior design solutions while ensuring project milestones are achieved within scheduled timelines.Key Responsibilities<ul><li>Prepare architectural design concepts, drawings, and construction documentation.</li><li>Develop architectural and interior design proposals in accordance with project requirements.</li><li>Produce detailed architectural drafting using industry-standard software.</li><li>Create 3D models, visualizations, and high-quality renderings for design presentations.</li><li>Utilize AI-assisted rendering tools to enhance design visualization and workflow efficiency.</li><li>Coordinate with multidisciplinary teams to support project development and timely delivery.</li><li>Revise drawings and models based on technical reviews and client feedback.</li><li>Ensure compliance with applicable design standards, codes, and company procedures.</li><li>Support the Architectural Department in meeting project deadlines and upcoming invoicing milestones.</li></ul>Qualifications<ul><li>Bachelor's Degree in Architecture or Architectural Engineering.</li><li>2&ndash;3 years of professional experience in architectural design and drafting.</li></ul>Required Skills &amp; Experience<ul><li>Experience in:</li><li>Architectural Design</li><li>Interior Design</li><li>Architectural Drafting</li><li>Proficiency in:</li><li>3D Modeling/ Sketchup / Rhinoo</li><li>Architectural Rendering</li><li>AI-assisted Rendering</li><li>Good working knowledge of architectural software, including:</li><li>AutoCAD</li><li>SketchUp + Rhinoo</li><li>Other equivalent visualization software (advantageous)</li></ul>Preferred Competencies<ul><li>Strong attention to detail and design quality.</li><li>Good visualization and presentation skills.</li><li>Ability to manage multiple tasks within tight deadlines.</li><li>Effective communication and teamwork skills.</li><li>Self-motivated with a proactive approach to problem-solving.</li></ul>Work Location: In person

Architectural Engineer

Confidential

<h2>Job Summary</h2>The Facility Management Engineer – Architecture will oversee architectural and building fabric maintenance activities, ensuring facilities remain safe, functional, compliant, and maintained to the required standards.<h2>Key Responsibilities</h2><ul><li>Monitor architectural, civil, and building fabric maintenance works.</li><li>Conduct inspections and identify defects and maintenance requirements.</li><li>Coordinate planned and reactive maintenance activities.</li><li>Supervise technicians and specialist contractors.</li><li>Prepare technical reports and recommend corrective solutions.</li><li>Ensure works comply with Qatar codes, specifications, HSE, and quality standards.</li><li>Support SLA/KPI achievement and overall FM service delivery.</li></ul><h2>Requirements</h2><ul><li>Bachelor's degree in Architecture Engineering or equivalent.</li><li>Minimum 3 years' experience in Facility Management and/or Project Management within the GCC.</li><li>UPDA/MMUP Grade B or C – mandatory.</li><li>Strong professional knowledge of architectural and civil works.</li><li>Good knowledge of Qatar standards and building codes.</li><li>Fluent in Arabic and English – mandatory.</li><li>Strong communication, analytical, planning, and problem-solving capabilities.</li></ul>

Facility Management Engineer – Architecture

<h2>Job Summary</h2>The Facility Management Manager – Architecture will oversee architectural, civil, and building fabric maintenance activities, ensuring facilities are maintained to required operational, safety, quality, and contractual standards.<h2>Key Responsibilities</h2><ul><li>Manage architectural, building fabric, and associated civil maintenance activities.</li><li>Lead FM teams and coordinate contractors and specialist service providers.</li><li>Monitor planned and reactive maintenance activities.</li><li>Conduct inspections and identify defects, risks, and improvement requirements.</li><li>Ensure compliance with Qatar codes, specifications, HSE, environmental, and quality standards.</li><li>Monitor SLA/KPI performance and implement corrective actions.</li><li>Coordinate effectively with clients and project stakeholders.</li></ul><h2>Requirements</h2><ul><li>Bachelor's degree in Architecture Engineering or equivalent.</li><li>Minimum 7 years' relevant experience.</li><li>UPDA/MMUP Grade A or B – mandatory.</li><li>Strong knowledge of architectural and civil works.</li><li>Knowledge of applicable Qatar standards and building codes.</li><li>Fluent in Arabic and English – mandatory.</li><li>School/kindergarten FM experience within the GCC is highly preferred.</li><li>CFM, FMP or SFP certification is preferred.</li><li>PMP certification is an advantage.</li></ul>

Facility Management Manager – Architecture

<h2>Job Summary</h2>The Operations Manager will lead the delivery of facility management services across a large-scale portfolio, ensuring operational performance, contractual compliance, service quality, safety, and client satisfaction. The role requires strong leadership capabilities and solid technical knowledge of civil and architectural systems.<h2>Key Responsibilities</h2><ul><li>Manage day-to-day FM operations and ensure services meet contractual SLAs and KPIs.</li><li>Lead and coordinate FM teams, supervisors, engineers, subcontractors, and service providers.</li><li>Monitor civil, architectural, and general building maintenance activities.</li><li>Ensure compliance with Qatar regulations, HSE requirements, quality standards, and client procedures.</li><li>Manage operational performance, resources, reporting, risks, and corrective actions.</li><li>Liaise with clients and stakeholders and ensure issues are resolved effectively.</li><li>Drive continuous improvement and maintain high standards of service delivery.</li></ul><h2>Requirements</h2><ul><li>Bachelor's degree in Civil Engineering, Architecture Engineering, or equivalent.</li><li>Minimum 15 years' total experience, including at least 7 years in Facility Management.</li><li>GCC experience within large-scale FM projects.</li><li>Experience within schools, kindergartens, or educational facilities is highly preferred.</li><li>Strong understanding of civil and architectural systems.</li><li>Strong leadership, planning, communication, and problem-solving skills.</li><li>Fluent in Arabic and English – mandatory.</li><li>MMUP/UPDA certification is preferred.</li></ul>

Operations Manager

North Oil Company Qatar

<div>
 Job description:
 
 
 
 Key Accountabilities
 
 
 &nbsp;
 
 
 
 This will be a definite term contract for 3 years.
 
 
 
 &nbsp;
 
 
 
 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)
 
 
 <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>
 
 Job Purpose
 
 
 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;
 
 
 Key Accountabilities:
 
 <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)
 
 meetings
 </li>
 </ul>
 
 Key Accountabilities
 
 
 
 Provide architectural guidance for data integration, ingestion patterns across enterprise data
 
 
 platforms and advanced analytics solutions in alignment with data modelling and MDM standards
 
 
 <ul>
 <li>
 &nbsp;Design batch and streaming or real time ingestion and integration patterns aligned with NOC standards,&nbsp;
 
 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>
 
 
 Design solutions in alignment with DBS best practices on Data and AI governance, information security controls, EA and PMO standards
 
 
 <ul>
 <li>
 Support alignment with data and AI governance to ensure trusted and well governed data usage across&nbsp;
 
 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>
 
 
 Review solutions and demands impacting Data Management part of Architecture Review Board (ARB) meetings
 
 
 <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
 
 Education
 
 
 &nbsp;
 
 <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>
 
 Experience
 
 
 &nbsp;
 
 <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>
 
 
 Job-Specific Skills (Generic / Technical):
 
 
 <ul>
 <li>
 Experience in AI Ready Data platforms &amp; Data architecture and data engineering foundation, technical
 
 implementation of AI solutions. Designing data&nbsp; architectures, developing AI models, and ensuring the
 
 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

malomatia

<div>
 
 Job Description
 
 
 
 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.
 
 
 
 Responsibilities
 
 
 
 Lead AI solutions design and implementation
 
 
 <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
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <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
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <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.
 
 
 </li>
 </ul>
 Skills &amp; Competencies
 
 
 <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
 
 
 </li>
 </ul>
 
 About Malomatia
 
 
 
 
 ABOUT US
 
 
 
 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.
 
 
 
 Our mission
 
 
 
 Empowering Qatar&rsquo;s businesses and governments to leap into the digital future with agile, knowledge-driven solutions.
 
 
 
 Our vision
 
 
 
 To become Qatar&rsquo;s trusted knowledge partner in digital transformation, disrupting industries, shaping the future, and building a world-class tech ecosystem.
 
 
 
 Driving change that makes a real impact
 
 
 
 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.
 
 
 
 About The Team
 
 
 
 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.
 
 
 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.
 
 
 Join us in shaping the future of technology in Qatar
</div>

Senior Consultant - AI Solution Architect