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mid/senior solution architect - qatar

senior mechanical engineer

senior infrastructure architect

EPAM Systems

<div>We're looking for a Senior AI Cloud Architect to join our team in Doha, Qatar in a hybrid working mode. In this role, you will design and govern cloud architecture for an enterprise AI-driven solution that enables well test monitoring, anomaly detection, diagnostics, optimization recommendations and knowledge management.
The position focuses on Microsoft Azure cloud services for a secure, scalable and resilient architecture that aligns with enterprise data platform integration and Azure OpenAI adoption. You will work closely with AI, data, security and infrastructure teams to ensure compliance with cybersecurity, data governance and regulatory requirements.
Responsibilities<ul><li>
Own cloud and solution architecture design across application, data, integration, security and AI layers
</li><li>Define Azure-based architecture covering compute, storage, networking, databases and AI services
</li><li>Establish secure integration with enterprise data platforms and Azure OpenAI services
</li><li>Ensure compliance with cybersecurity, data governance, residency and AI governance standards
</li><li>Define principles, patterns, non-functional requirements and deployment standards for cloud solutions
</li><li>Collaborate with cross-functional teams including AI, DevOps, infrastructure and application engineering
</li><li>Review technical designs to maintain alignment with target architecture
</li><li>Address non-functional aspects such as scalability, performance, resilience, observability and cost optimization
</li><li>Support presales, architecture presentations, technical estimates and solution workshops
</li><li>Identify risks, dependencies and technical constraints related to quotas, connectivity and AI service usage
</li></ul>Requirements<ul><li>
Extensive experience architecting enterprise-scale solutions on Microsoft Azure
</li><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Systems or a related field
</li><li>Deep understanding of Azure networking, IAM, security, governance and monitoring capabilities
</li><li>Proven experience in designing cloud-native applications and enterprise integration architectures
</li><li>Familiarity with Azure OpenAI, Azure AI services or AI Foundry
</li><li>Strong expertise in relational databases, data platforms, APIs and integration design
</li><li>Knowledge of architecture best practices for scalability, high availability and cost efficiency
</li><li>Experience defining and enforcing architecture governance and non-functional requirements
</li><li>Excellent communication skills with ability to engage technical and business stakeholders
</li><li>Experience providing delivery support, technical estimates and presales input</li></ul>
Nice to have<ul><li>
Experience implementing enterprise Agentic AI or RAG-based solutions
</li><li>Background in highly regulated or security-focused environments
</li><li>Knowledge of Microsoft Fabric as a future migration option
</li><li>Azure Solutions Architect Expert or Azure AI Engineer certifications
</li><li>Familiarity with human-in-the-loop AI solutions or enterprise knowledge bases
</li><li>Industry experience in oil &amp; gas, energy or industrial sectors
</li><li>Arabic language proficiency</li></ul>
We offer<ul><li>
Private healthcare and life insurance</li><li>
End of service gratuity</li><li>
Annual air travel tickets for expatriates</li><li>
Corporate Programs including Employee Referral Program with rewards</li><li>
Learning and development opportunities including in-house training and coaching, professional certifications, and courses</li></ul></div>

Senior AI Cloud Architect

QatarEnergy

<div>
 
 Primary Purpose Of The Job
 
 
 
 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.
 
 
 
 Principle Accountabilities
 
 
 
 <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.
 
 
 </li>
 </ul>
 
 Required Experience And Skills
 
 
 
 
 AI/ML Expertise
 
 
 
 <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.
 
 
 </li>
 </ul>
 
 MLOps and DataOps
 
 
 
 <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).
 
 
 </li>
 </ul>
 
 Cloud and Architecture
 
 
 
 <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.
 
 
 </li>
 </ul>
 
 Governance and Compliance
 
 
 
 <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.
 
 
 </li>
 </ul>
 
 Communication and Collaboration
 
 
 
 Excellent communication skills to effectively collaborate with business, technical, and product teams and translate complex technical requirements into actionable solutions
 
 
 
 Educational Qualifications
 
 
 
 <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

Confidential

A leading international engineering consultancy is seeking an experienced Senior Drainage Advisor to support a major drainage and wastewater infrastructure programme in Qatar.This is a senior strategic position responsible for providing technical and operational leadership across drainage network operations, asset management, governance, contract management and organisational performance improvement within a large-scale utility environment.<h2>Key Responsibilities</h2><ul><li>Provide strategic and technical advisory support for drainage and wastewater operations.</li><li>Advise on drainage network operations, maintenance and asset management best practices.</li><li>Support operational performance improvement, governance and business transformation initiatives.</li><li>Review and improve policies, procedures, operational processes and risk management strategies.</li><li>Provide technical leadership to multidisciplinary teams and stakeholders.</li><li>Support contract management and ensure operational compliance with organisational objectives.</li><li>Contribute to long-term planning and continuous improvement of drainage infrastructure and services.</li></ul><h2>Requirements</h2><ul><li>Bachelor's degree or higher in Engineering.</li><li>Approximately 30 years of professional experience, including significant experience within the water or wastewater sector.</li><li>Minimum 10 years' experience within the wastewater industry.</li><li>Minimum 5 years' experience within an Operations &amp; Maintenance environment.</li><li>Strong knowledge of drainage networks, wastewater systems and utility operations.</li><li>Experience in asset management, contract management and operational performance improvement.</li><li>Previous experience in technical advisory, programme management or senior engineering leadership.</li><li>Experience within the Middle East is highly desirable.</li><li>Chartered Engineer and/or recognised professional accreditation is advantageous.</li></ul><h2>Preferred Background</h2>We are particularly interested in candidates with experience in:<ul><li>Drainage Networks</li><li>Wastewater Infrastructure</li><li>Operations &amp; Maintenance</li><li>Asset Management</li><li>Water Utilities</li><li>Major Infrastructure Programmes</li><li>Public Sector Utilities</li><li>Engineering Consultancy</li></ul>

Senior Drainage Advisor

Dallah Holding Media

<h2>Job Summary</h2>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.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. <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> <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

Location: Doha, Qatar Sector: Infrastructure / Utilities / Asset Management Employment: Full-timeA leading engineering consultancy is seeking a highly experienced Asset Management Advisor to support a major infrastructure and utilities programme in Qatar.The successful candidate will provide strategic leadership and advisory support in the development, implementation and continuous improvement of infrastructure asset management frameworks, systems and organisational capabilities.Key Responsibilities<ul><li>Provide strategic advice on infrastructure asset management and lifecycle management.</li><li>Support the establishment and enhancement of an effective Asset Management function.</li><li>Develop asset management strategies, policies, procedures and governance frameworks.</li><li>Support implementation and improvement of asset management systems aligned with international best practice.</li><li>Advise on lifecycle planning, asset performance, risk, reliability and optimisation.</li><li>Develop asset management KPIs and performance-monitoring frameworks.</li><li>Support organisational change and capability development.</li><li>Work closely with senior client stakeholders, operations teams and multidisciplinary engineering teams.</li><li>Support continuous improvement of infrastructure operations and maintenance.</li></ul>Candidate Requirements<ul><li>Degree in Engineering or a relevant technical discipline.</li><li>Approximately 30 years of relevant professional experience preferred.</li><li>Significant experience in infrastructure/utilities asset management.</li><li>Strong understanding of ISO 55000 / international asset management principles.</li><li>Experience establishing or transforming asset management functions within major organisations.</li><li>Public-sector, municipal or major utility experience highly desirable.</li><li>Middle East experience advantageous.</li><li>IAM qualification/membership and/or Chartered Engineer status preferred.</li><li>Excellent stakeholder management, advisory and change-management capabilities.</li></ul>

Asset Management Advisor

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

Dautom

<div>
 
 
 Client Introduction:
 
 
 
 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,
 
 Dautom
 
 is supporting their strategic initiatives by connecting them with exceptional talent to drive business growth and transformation.
 
 
 
 
 
 We are looking for an experienced
 
 Technical Lead / Senior Full Stack Engineering Lead
 
 who can lead engineering teams and work on scalable, cloud-based applications.
 
 
 
 
 <ul>
 <li>
 
 Job Role:
 
 Full Stack Technical Lead
 </li>
 <li>
 
 Work Location:
 
 Qatar
 </li>
 <li>
 
 Employment Type:
 
 3-6 months extendable
 </li>
 <li>
 
 Notice period:
 
 30 days maximum
 </li>
 </ul>
 
 
 
 
 
 🔹 Technical Skills
 
 
 
 
 
 
 
 Full Stack Development
 
 
 <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>
 
 
 
 
 
 Cloud &amp; DevOps
 
 
 <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
 
 AWS, Azure or GCP
 
 </li>
 <li>
 Working knowledge of the other major cloud platforms
 </li>
 </ul>
 
 
 
 
 
 Observability &amp; Reliability
 
 
 <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>
 
 
 
 
 
 Experience
 
 
 <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>
 
 
 
 
 If this opportunity aligns with your expertise and career aspirations, we invite you to share your updated resume at
 
 shaloo.rani@dautom.com
 
 .
 
 
 
 
 
 Our team will be pleased to connect with suitable candidates for further discussions.
 
 
 
 
 
 
 About Dautom
 
 
 
 Dautom is a globally recognized IT consulting and technology services organization committed to enabling digital transformation through innovation, expertise, and a people-centric approach.
 
 
 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.
 
</div>

Full Stack Technical Lead

Explore 27+ Senior infrastructure architect in Doha this September. Find roles across top companies and apply now to boost your career.