electrical engineer

planning engineer

elv engineer

mechanical engineer

project engineer

automation engineer oil gas

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

Ericsson

<div>
 
 About This Opportunity
 
 
 
 Lead the growth of AI business opportunities across EMEA by acting as Customer Solution Responsible (CSR), Business Development Lead, and BOS AI Program Single Point of Contact (SPOC). Drive customer engagement, solution development, AI portfolio positioning, opportunity conversion, and AI adoption initiatives across the Market Area.
 
 
 The role is accountable for complex, multi-country AI opportunities, thought leadership in the AI sales domain, and for coaching and enabling teams across Customer Units (CUs).
 
 
 
 What you will do:
 
 
 
 <ul>
 <li>
 Identify, qualify, and develop AI opportunities across telecom customers in EMEA
 </li>
 <li>
 Lead customer discussions, workshops, and executive engagements to position Ericsson AI solutions
 </li>
 <li>
 Lead RFQ/RFP responses, proposal development, solution descriptions, business cases, and internal governance approvals for complex AI deals
 </li>
 <li>
 Build strategic relationships with Customer Units, CTO/CIO/CDO organizations, operations and network leadership, and other key stakeholders
 </li>
 <li>
 Own end-to-end solutioning for AI opportunities from early engagement through contract signature
 </li>
 <li>
 Translate customer business challenges and objectives into clear AI use cases and value propositions
 </li>
 <li>
 Define high-level architecture, scope, and delivery model in collaboration with Solution Architects, Service Delivery, and Product/Portfolio teams
 </li>
 <li>
 Secure alignment across commercial, solution, and fulfilment streams
 </li>
 <li>
 Ensure smooth handover to delivery and operations teams, securing continuity from sales to execution
 </li>
 <li>
 Champion Ericsson AI portfolio and drive internal awareness and enablement on AI offerings across EMEA
 </li>
 <li>
 Act as a subject matter expert on AI solutions for internal and external forums, contributing to thought leadership and best practices
 </li>
 <li>
 Coordinate AI opportunity funnel reporting, forecasting, and performance tracking across CUs
 </li>
 <li>
 Drive customer AI adoption programs, including onboarding, change management, and definition of success metrics
 
 
 </li>
 </ul>
 
 You will bring:
 
 
 
 
 Must-have
 
 
 
 <ul>
 <li>
 Experience with AI/ML, data analytics, or automation solutions in telecom
 </li>
 <li>
 Several years of experience in telecom / ICT sales, pre-sales, or solution consulting, ideally in an operator or vendor environment
 </li>
 <li>
 Proven track record in selling complex technology solutions (preferably AI, analytics, automation, or software) to C-level and senior stakeholders
 </li>
 <li>
 Strong understanding of telecom network and operations domains (RAN, Core, Transport, IT/OSS/BSS, CX/Service Operations)
 </li>
 <li>
 Strong experience working in Presales or equivalent complex opportunity set-up
 </li>
 <li>
 Demonstrated ability to build business cases, pricing structures, and value-based proposals.
 </li>
 <li>
 Demonstrated ability to lead multi-disciplinary teams through complex sales cycles at regional level
 </li>
 <li>
 Negotiation and influence capabilities, managing trade-offs and risk in complex deals
 
 
 </li>
 </ul>
 
 Nice-to-have
 
 
 
 <ul>
 <li>
 Familiarity with Ericsson portfolio, including Ericsson Operations Engine, Cognitive Software, Analytics solutions, and Managed Services
 </li>
 <li>
 Experience working across multiple countries or Market Areas, with multicultural teams and customers
 </li>
 <li>
 Exposure to cloud, data platforms, and modern software delivery models (for example, SaaS, managed services)
 
 
 </li>
 </ul>
 
 Trave
 
 l: Willingness to travel across EMEA for customer meetings, workshops, and internal events, as required by key opportunities.
 
 
 
 Location
 
 :
 
 This position can be hired within the EMEA region, where Ericsson has an office
 
 .
 
 
 
 Why join Ericsson?
 
 At Ericsson, you&acute;ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what&acute;s possible. To build solutions never seen before to some of the world&rsquo;s toughest problems. You&acute;ll be challenged, but you won&rsquo;t be alone. You&acute;ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
 
 
 
 What happens once you apply?
 
 Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.
 
 
 
 Primary country and city:
 
 France (FR) || Massy
 
 
 
 Req ID:
 
 789659
</div>

Lead AI Technical Solution Sales Support

Confidential

<h2>Job Summary</h2>The Facility Management Engineer – Civil will support the delivery of civil maintenance and FM services, ensuring works are completed safely, efficiently, and in accordance with contractual requirements and applicable Qatar standards.<h2>Key Responsibilities</h2><ul><li>Manage and monitor preventive and corrective civil maintenance activities.</li><li>Conduct inspections and identify building and civil defects.</li><li>Coordinate technicians, contractors, and maintenance activities.</li><li>Prepare technical reports, work plans, and corrective action recommendations.</li><li>Monitor work quality and compliance with SLAs and KPIs.</li><li>Ensure compliance with Qatar codes, HSE, quality, and environmental requirements.</li><li>Support project and FM management activities.</li></ul><h2>Requirements</h2><ul><li>Bachelor's degree in Civil 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 knowledge of civil maintenance works.</li><li>Good understanding of Qatar standards and codes.</li><li>Fluent in Arabic and English – mandatory.</li><li>Strong analytical, communication, planning, and problem-solving skills.</li></ul>

Facility Management Engineer – Civil

<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 Facilities Engineer will support the operation and maintenance of electromechanical building systems, ensuring maintenance activities are delivered effectively, safely, and in accordance with required technical standards.<h2>Key Responsibilities</h2><ul><li>Coordinate preventive, corrective, and reactive maintenance activities.</li><li>Monitor electrical, mechanical, ELV, HVAC, and associated electromechanical systems.</li><li>Conduct technical inspections and identify maintenance requirements.</li><li>Troubleshoot technical faults and recommend corrective solutions.</li><li>Coordinate supervisors, technicians, and specialist contractors.</li><li>Monitor system performance and reliability.</li><li>Ensure compliance with QHSE and applicable technical standards.</li><li>Prepare technical reports and maintenance recommendations.</li><li>Support planning and supervision of technical teams.</li></ul><h2>Requirements</h2><ul><li>Bachelor's degree in Mechanical or Electrical Engineering, or equivalent.</li><li>Minimum 3 years' Facility Management experience.</li><li>Experience with similar-sized projects within the GCC.</li><li>Strong knowledge of electrical, mechanical, and ELV systems.</li><li>Good knowledge of standards applicable within Qatar.</li><li>Good understanding of Quality Management and QHSE requirements.</li><li>Fluent in Arabic and English, spoken and written.</li><li>QCDD certification preferred.</li><li>Grade B classification by Kahramaa / competent authority preferred.</li></ul>

Facilities Engineer – Electromechanical

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

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

Explore 9+ Automation engineer oil gas in Doha this August. Find roles across top companies and apply now to boost your career.