civil engineer

planning engineer

structural engineer

architect

interior designer

ai architect

Anotech

<div>
 
 🤖
 
 We&rsquo;re Hiring: AI Architect
 
 
 
 📍 Doha, Qatar
 
 
 We&rsquo;re looking for an innovative
 
 AI Architect
 
 to define and govern the cognitive AI foundation of a large-scale digital platform. This role focuses on turning advanced AI capabilities into secure, scalable, and reusable platform services across multiple domains and vendors.
 
 
 
 
 
 🔍
 
 What You&rsquo;ll Do
 
 
 
 You will design the end-to-end AI architecture enabling production-grade AI services across the platform:
 
 <ul>
 <li>
 Define cognitive AI reference architecture (inference, RAG, model serving, agents, fine-tuning pipelines)
 </li>
 <li>
 Establish model lifecycle governance (evaluation gates, versioning, approvals, rollback strategies)
 </li>
 <li>
 Design multi-tenant AI patterns (isolated environments, quotas, secure endpoints, GPU allocation)
 </li>
 <li>
 Specify inference standards (OpenAI-compatible APIs, routing, caching, SLAs, safety filters)
 </li>
 <li>
 Architect RAG systems (ingestion, embeddings, vector databases, retrieval, grounded responses)
 </li>
 <li>
 Define fine-tuning pipelines (LoRA/PEFT, orchestration, artifact management, promotion workflows)
 </li>
 <li>
 Implement AI safety and compliance controls (guardrails, PII redaction, prompt governance, audit trails)
 </li>
 <li>
 Define observability across AI systems (training, inference, pipelines, anomaly detection)
 </li>
 <li>
 Provide architecture assurance for vendor solutions and production readiness
 </li>
 <li>
 Enable developer adoption through SDKs, reference implementations, and golden paths
 </li>
 </ul>
 
 
 
 
 🧠
 
 What You Bring
 
 
 <ul>
 <li>
 7+ years of experience in AI/ML engineering or architecture
 </li>
 <li>
 Proven experience building production LLM, RAG, or agent-based systems
 </li>
 <li>
 Strong understanding of model serving, MLOps, and scalable AI infrastructure
 </li>
 <li>
 Expertise in AI governance, safety, and evaluation frameworks
 </li>
 <li>
 Experience working with cloud-based AI platforms and GPU-based workloads
 </li>
 <li>
 Ability to bridge AI research concepts with enterprise-scale engineering
 </li>
 </ul>
 
 
 
 
 🛠
 
 Tech Stack Highlights
 
 
 
 vLLM | KServe | Triton | NVIDIA NIM
 
 
 MLflow | Ray | Airflow | Prefect
 
 
 LangChain | LlamaIndex | Vector DBs (Weaviate, PGVector, Elasticsearch)
 
 <ul>
 <li>
 OpenTelemetry | Datadog/Dynatrace | Policy-as-Code Tools
 </li>
 </ul>
 
 
</div>

AI Architect

Starlink Qatar

<div>
 
 
 Job Title: AI Architect
 
 
 
 
 
 
 
 Role Overview
 
 
 
 
 
 
 Design and deliver end-to-end AI solutions, with a strong focus on building business cases tailored to the sports, sports performance, education, and medical industries. The role involves leveraging machine learning, natural language processing, and data analytics to develop scalable, high-impact AI systems that enhance operational efficiency and domain-specific outcomes.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 AI Solution Architecture &amp; Delivery
 
 
 <ul>
 <li>
 Design and implement scalable AI architectures using cloud-native platforms such as Azure AI Foundry and Google Agent Space.
 </li>
 <li>
 Leverage pre-built AI services (NLP, computer vision, predictive analytics) to accelerate solution delivery.
 </li>
 <li>
 Align AI solutions with organizational priorities across sports, healthcare, and education sectors.
 </li>
 </ul>
 
 
 Enterprise System &amp; Data Integration
 
 
 <ul>
 <li>
 Integrate cloud-based AI services with enterprise systems such as ERP, CRM, medical, and sports performance platforms.
 </li>
 <li>
 Enable seamless connectivity between structured data (databases, KPIs) and unstructured data (documents, video, medical records).
 </li>
 <li>
 Utilize APIs, middleware, and automation tools to streamline data pipelines and workflows.
 </li>
 </ul>
 
 
 AI Governance &amp; Risk Management
 
 
 <ul>
 <li>
 Ensure compliance with data protection regulations such as GDPR, HIPAA, and relevant local laws.
 </li>
 <li>
 Monitor AI systems for bias, transparency, and explainability.
 </li>
 <li>
 Implement security, governance, and ethical AI best practices.
 </li>
 </ul>
 
 
 Applied AI Enablement
 
 
 <ul>
 <li>
 Deploy and customize existing AI models for practical, real-world applications.
 </li>
 <li>
 Configure conversational AI, knowledge agents, and analytics tools to support business operations.
 </li>
 <li>
 Continuously evaluate advancements in AI platforms and implement enhancements.
 </li>
 </ul>
 
 
 Stakeholder &amp; Client Management
 
 
 <ul>
 <li>
 Collaborate with internal stakeholders to identify opportunities for AI adoption.
 </li>
 <li>
 Present AI solutions with clear, measurable business value.
 </li>
 <li>
 Act as a trusted advisor for AI-driven transformation initiatives.
 </li>
 </ul>
 
 
 Performance &amp; Scalability
 
 
 <ul>
 <li>
 Optimize AI systems for performance, scalability, and reliability.
 </li>
 <li>
 Establish monitoring frameworks and continuous improvement processes.
 </li>
 <li>
 Define KPIs and track ROI for AI implementations.
 </li>
 </ul>
 
 
 
 
 
 Qualifications &amp; Experience
 
 
 <ul>
 <li>
 Minimum 8+ years of experience in Solution Architecture.
 </li>
 <li>
 At least 4 years of hands-on experience in applied AI/ML projects.
 </li>
 <li>
 Mandatory: Bilingual (Arabic speaker)
 </li>
 </ul>
 
 
 
 
 
 Education
 
 
 <ul>
 <li>
 Bachelor&rsquo;s Degree in Computer Science, Artificial Intelligence, Data Science, IT, or Engineering.
 </li>
 </ul>
 
 
 
 
 
 Certifications
 
 
 <ul>
 <li>
 AI-related certifications such as Microsoft Certified AI Developer/Architect.
 </li>
 <li>
 Experience with Azure AI Foundry and Google Cloud AI/ML platforms.
 </li>
 <li>
 Additional software development certifications (e.g., Microsoft Certified Developer/Architect) are a plus.
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Competencies
 
 
 <ul>
 <li>
 Strong expertise in designing and delivering AI-driven solutions.
 </li>
 <li>
 Proficiency in AI concepts, tools, frameworks, and models.
 </li>
 <li>
 Experience with solution architecture methodologies, including evaluation techniques, component modeling, and impact analysis.
 </li>
 <li>
 Solid understanding of SDLC, requirements analysis, and technical design (high-level and detailed).
 </li>
 <li>
 Hands-on experience with Azure AI Foundry for enterprise AI lifecycle management.
 </li>
 <li>
 Expertise in Google Agent Builder, SDKs for mobile agents, and multi-agent systems.
 </li>
 <li>
 Strong knowledge of Advanced Retrieval-Augmented Generation (RAG) for enterprise knowledge systems.
 </li>
 <li>
 Proficiency in data and database architecture (SQL, NoSQL, vector databases, knowledge graphs).
 </li>
 <li>
 Ability to design secure, scalable, and high-performance AI systems.
 </li>
 <li>
 Excellent communication skills to bridge technical and business stakeholders.
 </li>
 </ul>
 
 
</div>

Team Moxim

Job Opportunity: AI Solutions ArchitectLocation: Mesaieed, Qatar Company: Team MoximAbout UsTeam Moxim is a cutting-edge technology company specializing in artificial intelligence, machine learning, and digital transformation solutions. With a strong presence in Mesaieed, we empower businesses to harness AI for smarter decision-making, operational efficiency, and innovation. As we expand, we are seeking a visionary AI Solutions Architect to design and deliver advanced AI-driven systems.Role OverviewWe are looking for an AI Solutions Architect to lead the design, development, and deployment of AI solutions. This role requires a professional with deep expertise in AI technologies, cloud platforms, and enterprise integration. You will be responsible for shaping Team Moxim&rsquo;s AI strategy, ensuring scalable solutions, and driving innovation across industries.Key Responsibilities<ul><li>Design and architect AI solutions tailored to client needs.</li><li>Oversee development and deployment of machine learning models and AI applications.</li><li>Collaborate with business leaders and technical teams to align AI strategy with organizational goals.</li><li>Ensure compliance with data governance, security standards, and ethical AI practices.</li><li>Monitor KPIs, system performance, and solution effectiveness.</li><li>Manage resources, budgets, and vendor relationships.</li><li>Lead and mentor AI engineers and data scientists.</li><li>Represent Team Moxim in AI industry forums, conferences, and professional networks.</li></ul>Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or related field.</li><li>8+ years of experience in AI/ML solution design, with at least 3 years in an architect-level role.</li><li>Strong knowledge of machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).</li><li>Experience with cloud platforms (AWS, Azure, Google Cloud) and enterprise integration.</li><li>Proven track record of delivering scalable AI solutions.</li><li>Excellent leadership, organizational, and communication skills.</li><li>Ability to thrive in a fast-paced, innovation-driven environment.</li></ul>Why Join Us?<ul><li>Lead AI initiatives at one of Qatar&rsquo;s premier technology innovators.</li><li>Play a key role in shaping Team Moxim&rsquo;s digital future.</li><li>Competitive salary and benefits package.</li><li>Opportunities for career growth and professional development.</li><li>Collaborative and forward-thinking work culture.</li></ul>Pay: Up to QAR32,000.00 per monthWork Location: In person

AI Solutions Architect

MILAHA

<div>Communication
 
Internal Communication:
 
Internal Business Units
 
All Internal Department
 
Senior Leadership Team
 
Purpose:
 
 Innovation in AI Products and Services
 
 Customer Experience Enhancement:
 
 Data Integration and Democratization
 
 Predictive and Prescriptive Analytics
 
 Change Management and Adoption of AI
 
 Cloud and Scalable AI Infrastructure
 
 Data Governance and Ethics
External Communication:
 
External IT Vendors
 
Software Integrators
Occupational Health &amp; Safety and Environment
 
Accountability:
 
Are accountable for their acts and omissions.
 
Responsibility:
 
To follow agreed safe systems of work; to follow training and instructions; and to report accidents, incidents and near misses.
 
Authority:
 
To stop work if they think the work is unsafe.</div>
 <div><div>Education &amp; Professional Qualification:
 
Bachelor&rsquo;s Degree in Computer Science, Data Science
 
Artificial Intelligence, Statistics, Mathematics, Engineering, Information Technology
 
Master&rsquo;s Degree (preferred):
 
Data Science, Artificial Intelligence or Machine Learning, Computer Science, Business Analytics, Statistics or Applied Mathematics, Operations Research
 
Professional Experience:
 
<ul><li>8 years of hands-on experience in data science, machine learning, or AI roles, including developing and deploying AI models and algorithms.
</li><li>Experience with machine learning techniques, such as:
</li><li>Supervised/Unsupervised Learning
</li><li>Deep Learning (e.g., Neural Networks, CNNs, RNNs)
</li><li>Natural Language Processing (NLP)
</li><li>Computer Vision
</li></ul>Geographic Experience:
 
A plus
 
Computer Skills:
 
data science, machine learning, AI, including developing and deploying AI models and algorithms
 
Language Skills:
 
Business fluent English
 
Arabic Language is an advantage.</div></div>
 <div><div>Strategic Leadership &amp; Vision
 
<ul><li>Define and execute the organization&rsquo;s Data Science &amp; AI strategy in alignment with business goals.
</li><li>Identify and prioritize opportunities where AI and data driven solutions enhance efficiency, customer experience, product offerings, and revenue generation.
</li><li>Lead the design of a unified data and AI architecture, including the development of a scalable Data Lakehouse, semantic layers, feature stores, and streaming/batch data integration.
</li><li>Drive the Generative AI roadmap&mdash;selecting LLM providers, designing RAG architectures, and enabling enterprise wide AI capabilities.
</li><li>Oversee FinOps practices to optimize cloud and compute costs associated with AI, GPU workloads, and large scale data storage.
</li></ul>AI &amp; Data Engineering Execution
 
<ul><li>Oversee the end to end development, validation, deployment, and lifecycle management of machine learning and AI models.
</li><li>Implement CI/CD/CT pipelines to ensure automated, continuous, and reliable model updates.
</li><li>Build and maintain vector database infrastructure to support semantic search, contextual AI, and long term knowledge retrieval.
</li><li>Ensure data pipelines, platforms, and architectures are optimized for performance, scalability, and resilience.
</li></ul>Governance, Risk, Compliance &amp; Ethics
 
<ul><li>Implement data governance, security, and privacy standards, including RBAC/ABAC and protection of PII and sensitive datasets.
</li><li>Establish and monitor automated controls for model drift, fairness, explainability, and ethical use of AI.
</li><li>Ensure compliance with relevant regulations (e.g., GDPR, HIPAA) and internal policies.
</li><li>Maintain best practices for data quality, versioning, reproducibility, and auditability.
</li></ul>Innovation &amp; Continuous Improvement
 
<ul><li>Lead experimentation with new algorithms, methods, and technologies to maintain a cutting edge AI ecosystem.
</li><li>Promote a culture of continuous improvement, refining processes, tools, and models to enhance performance and business impact.
</li></ul>Team Leadership &amp; Capability Building
 
<ul><li>Mentor and develop a high performing team of data scientists, AI engineers, and data professionals.
</li><li>Oversee training and upskilling initiatives to ensure the team remains current with emerging technologies and methodologies.
</li></ul>Stakeholder Management &amp; Communication
 
<ul><li>Serve as a strategic advisor between business and technical teams&mdash;translating business challenges into AI solutions and articulating AI outcomes clearly to non technical stakeholders.
</li><li>Provide regular updates to leadership on progress, performance metrics, model outcomes, and business results.
</li><li>Drive cross department collaboration to ensure successful adoption and integration of AI solutions.
</li></ul>Technology, Tools &amp; Vendor Management
 
<ul><li>Lead the selection, integration, and management of AI platforms, data tools, and vendor partnerships.
</li><li>Manage budgets for data science and AI initiatives, ensuring optimal allocation of resources.
</li><li>Make decisions related to hiring, vendor selection, and solutions procurement that support strategic AI objectives.</li></ul></div></div>
 <div><div>Education &amp; Professional Qualification:
 
Bachelor&rsquo;s Degree in Computer Science, Data Science
 
Artificial Intelligence, Statistics, Mathematics, Engineering, Information Technology
 
Master&rsquo;s Degree (preferred):
 
Data Science, Artificial Intelligence or Machine Learning, Computer Science, Business Analytics, Statistics or Applied Mathematics, Operations Research
 
Professional Experience:
 
<ul><li>8 years of hands-on experience in data science, machine learning, or AI roles, including developing and deploying AI models and algorithms.
</li><li>Experience with machine learning techniques, such as:
</li><li>Supervised/Unsupervised Learning
</li><li>Deep Learning (e.g., Neural Networks, CNNs, RNNs)
</li><li>Natural Language Processing (NLP)
</li><li>Computer Vision
</li></ul>Geographic Experience:
 
A plus
 
Computer Skills:
 
data science, machine learning, AI, including developing and deploying AI models and algorithms
 
Language Skills:
 
Business fluent English
 
Arabic Language is an advantage.</div></div>

Specialist - AI & Data Architect

QAFCO (Qatar Fertiliser Company)

<div>
 
 Job Summary
 
 
 
 The Enterprise Architect is responsible for defining, governing, and continuously evolving the organization&rsquo;s enterprise architecture across Information Technology (IT), Operational Technology (OT), Cybersecurity, Data, and Digital Office domains within the Oil &amp; Gas environment. The role ensures that all technology capabilities are fully aligned with corporate strategy, operational excellence objectives, HSE priorities, cybersecurity resilience requirements, and long-term digital transformation goals.
 
 
 The Enterprise Architect establishes an integrated architecture vision that connects business capabilities, industrial control systems, enterprise applications, data platforms, infrastructure, and digital collaboration environments into a secure, scalable, and future-ready ecosystem. This includes enabling IT/OT convergence while maintaining operational integrity, safety compliance, and cyber resilience in mission-critical environments.
 
 
 
 The Enterprise Architect Ensures That Technology Investments
 
 
 
 <ul>
 <li>
 Deliver measurable business value
 </li>
 <li>
 Improve operational efficiency and reliability
 </li>
 <li>
 Enhance cybersecurity posture
 </li>
 <li>
 Reduce technical debt and system redundancy
 </li>
 <li>
 Support regulatory compliance and risk management
 </li>
 <li>
 Enable data-driven decision-making across field and corporate operations
 
 
 </li>
 </ul>
 In addition, the role champions secure digital transformation by embedding cybersecurity-by-design principles, promoting zero-trust architecture, strengthening industrial control system protections, and ensuring business continuity in high-risk operational environments.
 
 
 The Enterprise Architect also leads the Digital Office strategy to modernize the workplace through cloud adoption, collaboration platforms, automation, AI-enabled productivity tools, and secure remote access solutions &mdash; improving workforce productivity and digital experience across corporate offices and remote field locations.
 
 
 Ultimately, the Enterprise Architect is accountable for building a resilient, innovative, and integrated technology landscape that enables sustainable growth, operational excellence, and competitive advantage in QAFCO.
 
 
 
 Key Accountabilities
 
 
 
 <ul>
 <li>
 Develop and maintain the enterprise architecture (EA) framework, principles, standards, policies and operating models.
 </li>
 <li>
 Define integrated IT/OT/cyber security /Digital architecture principles.
 </li>
 <li>
 Establish long-term IT road maps with alignment with business, cybersecurity, and Digital Office.
 </li>
 <li>
 Align IT strategy and architecture with business goals and corporate strategy.
 </li>
 <li>
 Define and manage enterprise technology roadmaps (short-, medium-, and long-term).
 </li>
 <li>
 Establish governance processes to ensure compliance with architectural standards.
 </li>
 <li>
 Translate business capabilities and strategy into technology architecture requirements.
 </li>
 <li>
 Partner with business stakeholders to understand transformation priorities.
 </li>
 <li>
 Ensure IT initiatives support enterprise-wide integration and optimization.
 </li>
 <li>
 Identify opportunities for digital innovation and automation.
 </li>
 <li>
 Define target-state architectures across:
 </li>
 </ul>
 <li>
 </li>
 <li>
 </li>
 <ul>
 <li>
 Business Architecture
 </li>
 <li>
 Application Architecture
 </li>
 <li>
 Data &amp; Information Architecture
 </li>
 <li>
 Infrastructure &amp; Cloud Architecture
 </li>
 <li>
 OT/ICS Architecture (SCADA, DCS, PLC)
 </li>
 <li>
 Cybersecurity Architecture
 </li>
 <li>
 Digital Workplace Architecture
 </li>
 <li>
 Integration Architecture
 </li>
 <li>
 Ensure secure integration between enterprise IT and operational technologies.
 </li>
 <li>
 Drive interoperability across production, refining, and distribution systems.
 </li>
 <li>
 Oversee system integration and interoperability standards.
 </li>
 <li>
 Ensure scalability, performance, and reliability of enterprise platforms.
 </li>
 <li>
 Establish enterprise data governance architecture.
 </li>
 <li>
 Enable enterprise data platforms and analytics.
 </li>
 <li>
 Support AI/ML, digital twins, and advanced analytics.
 </li>
 <li>
 Promote automation and RPA initiatives.
 </li>
 <li>
 Drive adoption of emerging digital technologies.
 </li>
 <li>
 Lead cloud adoption strategy.
 </li>
 <li>
 Evaluate and recommend emerging technologies.
 </li>
 <li>
 Rationalize application and technology portfolio to reduce redundancy.
 </li>
 <li>
 Lead legacy system modernization initiatives.
 </li>
 <li>
 Assess vendor solutions and ensure architectural fit.
 </li>
 <li>
 Ensure architectural designs comply with cybersecurity and regulatory requirements.
 </li>
 <li>
 Identify technical risks and develop mitigation strategies.
 </li>
 <li>
 Collaborate with Information Security and Risk teams.
 </li>
 <li>
 Support disaster recovery and business continuity planning.
 </li>
 <li>
 Provide architectural leadership across IT and business units.
 </li>
 <li>
 Mentor solution architects and technical teams.
 </li>
 <li>
 Present architecture strategies and investment cases to executive leadership.
 </li>
 <li>
 Act as a trusted advisor for strategic technology decisions.
 </li>
 <li>
 Promote best practices in architecture and solution design.
 </li>
 <li>
 Drive cloud adoption, automation, DevOps, and modernization strategies.
 </li>
 <li>
 Continuously evaluate architectural maturity and optimize frameworks.
 </li>
 <li>
 Participate in the on-the-job training of trainees and newly hired personnel within the Group to ensure that they develop the necessary skills to independently carry out assigned activities. Train End-Users in the application of newly developed systems.
 
 
 </li>
 </ul>
 
 Minimum Requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s Degree in IT, Computer Engineering, or relevant discipline.
 </li>
 <li>
 7+ years direct and relevant experience.
 </li>
 </ul>
</div>

Enterprise Architect

Quantiphi

<div>
 
 
 Role:
 
 Client Solutions Partner
 
 
 
 Experience:
 
 8+ years
 
 
 
 Work location:
 
 Doha, Qatar
 
 
 
 
 
 We're looking for a brilliant technologist, an excellent communicator, and a strategic partner&mdash;to be the technical heart of our AI Go-To-Market team. You will be the spark that ignites our customers' imagination, bridging the gap between the art of the possible and transformative, real-world solutions.
 
 
 
 
 
 
 What You'll Achieve:
 
 
 <ul>
 <li>
 Architect the Future State: Act as the trusted technical advisor to our most strategic clients, architecting end-to-end AI solutions and shaping their long-term technology roadmap.
 </li>
 <li>
 Inspire Action: Translate deep technical concepts into compelling business value, delivering jaw-dropping presentations and demos to audiences ranging from engineers to CXOs.
 </li>
 <li>
 Build and Unblock: Lead and build rapid, hands-on Proofs-of-Concept (especially on Google Cloud) that solve critical problems and dismantle technical blockers, paving the way for large-scale adoption.
 </li>
 <li>
 Drive the Win: Own the entire technical sales cycle&mdash;from discovery and qualification to overcoming objections and securing the "technical win" for high-value enterprise deals.
 </li>
 <li>
 Shape Our Strategy: Act as the voice of the customer and the market, channelling your insights to directly influence the evolution of our products, services, and company strategy. Build team strategy with including sales planning
 </li>
 </ul>
 
 
 
 
 
 What You'll Bring:
 
 
 <ul>
 <li>
 
 Applied AI Mastery:
 
 Deep, demonstrable, hands-on expertise in building and deploying modern AI solutions, with a strong focus on Generative AI (RAG, Agents, LLMs) and Computer Vision.
 </li>
 <li>
 
 Data Strategy &amp; Enablement
 
 Expertise in defining data strategies that align with business goals&mdash;spanning data ingestion, modelling, governance, and consumption&mdash;enabling organizations to scale analytics and AI with confidence.
 </li>
 <li>
 
 Cloud &amp; Systems Fluency:
 
 Expertise of cloud architecture, with a proven track record of designing scalable, production-grade systems (strong Google Cloud experience is a significant advantage).
 </li>
 <li>
 
 Consultative Mindset:
 
 A natural ability to listen, challenge, and guide customers towards solutions they didn't know were possible.
 </li>
 <li>
 
 Effortless Communication:
 
 You are a storyteller who can command a room, build instant credibility, and articulate complex ideas with powerful simplicity.
 </li>
 <li>
 
 Proven GTM Experience:
 
 A significant track record of success in a senior, customer-facing technical role such as a Solutions Architect, Principal Sales Engineer, or Technical Evangelist.
 </li>
 <li>
 
 Be a Force Multiplier:
 
 Mentor and elevate our exceptional team of young AI talent, fostering a culture of curiosity and collaboration by being a leader who actively listens, learns, and guides.
 </li>
 </ul>
 
 
 
 
 
 Additional Skills required:
 
 
 
 You would be involved in the development of new business opportunities and value-added services which requires a high level of creativity, learning potential and deep quantitative subject matter expertise and therefore self-driven individuals willing to learn on the go would be preferred.
 
 <ul>
 <li>
 Knowledge and willingness to learn and apply emerging trends in business research, data science, Machine learning Artificial Intelligence, Cloud
 </li>
 <li>
 Strong exposure of cloud technologies like GCP, AWS, Azure etc
 </li>
 <li>
 Excellent communication, articulation, abstraction, analytical and presentation skills
 </li>
 <li>
 Executive demeanor and experience working with senior client executives
 </li>
 <li>
 Ability to work with minimal supervision in a dynamic and time sensitive work environment
 </li>
 <li>
 Excellent aptitude in business analysis and awareness of quantitative analysis techniques
 </li>
 <li>
 Self-driven and strong aptitude to work in an entrepreneurial , fast-paced environment with minimal supervision and a passion for developing new value-added AI based solutions for clients across a variety of industries
 </li>
 </ul>
 
 
</div>

Client Solutions Partner

FIN Hospitality

Company: Oil &amp; GasLocation: QatarDepartment: Corporate IT (AI)Job Overview:The Cloud Infrastructure Architect is responsible for designing and overseeing the deployment of scalable, secure, and high-performance infrastructure to support the implementation of Dolphin Energy&rsquo;s Plant Data Model (PDM) system. This role focuses on hybrid architecture with a strong emphasis on Microsoft technologies, including Azure, Microsoft 365, Intune, and Power Platform.The architect will evaluate infrastructure proposals submitted by implementation partners, ensure alignment with enterprise architecture and cybersecurity standards, and supervise the setup and integration of cloud and on-premises components. The role requires deep technical expertise in cloud infrastructure, virtualization, disaster recovery, and enterprise-grade networking, with proven experience in oil and gas environments.Key Responsibilities:<ul><li>Evaluate the PDM project infrastructure-related components of bidder proposals, ensuring alignment with Dolphin Energy&rsquo;s enterprise architecture, cybersecurity standards, and operational requirements.</li><li>Lead the implementation of hybrid cloud infrastructure to support the PDM solution, with a focus on Microsoft technologies including Azure, Microsoft 365, Intune, and Power Platform in collaboration with implementation partners.</li><li>Lead the deployment and configuration of virtual machines, storage systems, networking components, and backup solutions across on-premises and cloud environments.</li><li>Ensure seamless integration of infrastructure with Active Directory, DNS, SCCM, Intune, and other enterprise services.</li><li>Oversee disaster recovery planning and high availability setup for PDM, ensuring compliance with existing DR architecture and recovery objectives.</li><li>Monitor infrastructure performance across distributed sites (e.g., Ras Laffan, Taweelah, Abu Dhabi), optimizing for latency, bandwidth, and system responsiveness.</li><li>Collaborate with system integration experts to ensure infrastructure readiness for middleware, APIs, and real-time data systems.</li><li>Enforce security protocols including encryption, role-based access controls, and secure remote access via ZTNA and MFA.</li><li>Support infrastructure scalability planning, capacity assessments, and hardware provisioning in coordination with approved vendors.</li><li>Maintain detailed documentation of infrastructure architecture, deployment plans, and operational procedures.</li><li>Provide technical oversight during implementation, testing, and go-live phases, ensuring infrastructure stability and compliance.</li></ul>Required Qualifications:Educational Background:<ul><li>A degree in computer science, Computer Engineering, information technology, or a related field</li></ul>Certifications (Preferred)<ul><li>Microsoft Certified: Azure Solutions Architect Expert</li><li>Certified Kubernetes Administrator (CKA)</li><li>TOGAF or similar enterprise architecture framework</li></ul>Expected Experience<ul><li>Minimum: 7&ndash;10 years of experience in IT infrastructure and cloud architecture</li><li>Preferred: Experience leading or supporting cloud/hybrid deployments for industrial platforms (e.g., AVEVA, Hexagon, Siemens, Bentley)</li></ul>Technical Skills<ul><li>Deep expertise in Microsoft Azure services including Virtual Machines, Azure Active Directory, Azure Storage, Azure Networking, and Azure Monitor.</li><li>Experience with Microsoft 365, Intune, and Power Platform for enterprise productivity, device management, and workflow automation.</li><li>Strong understanding of hybrid cloud architecture, including integration between on-premises infrastructure and cloud services.</li><li>Experience with Docker, Kubernetes, and Azure Kubernetes Service (AKS) for deploying and managing containerized applications in hybrid environments</li><li>Advanced knowledge of Azure Virtual Network (VNet) design, ExpressRoute, VPN gateways, DNS, load balancing, and secure network segmentation.</li></ul>Soft Skills:<ul><li>Excellent analytical and research skills.</li><li>Strong communication skills to collaborate with cross-functional teams.</li><li>Strong presentation skills</li></ul>Pay: QAR22,000.00 - QAR30,000.00 per monthWork Location: In person

Cloud Infrastructure Architect

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190 ai architect jobs In Qatar

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Enterprise Architect

Client Solutions Partner

Cloud Infrastructure Architect