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Siemens

<div><div><b>Vertical Sales Manager- Doha, Qatar</b></div><div></div><div><br>
Here in Siemens, we take pride in enabling sustainable progress through technology. We do this through empowering customers by combining the real and digital worlds and working to improve how we live, work, and move today and for the next generation! We know that the only way a business thrives is if our people are thriving. That&rsquo;s why we always put our people first. Our global, diverse team would be happy to support you and challenge you to grow in new ways. Who knows where our shared journey will take you!</div><div></div><div><br>
We are looking for Vertical Sales Manager. This position is located in Doha, Qatar</div><div></div><div><b><br>
Your responsibilities:</b></div><div><ul><li>
Develop and execute strategic sales plans to achieve and exceed annual sales targets within assigned vertical markets and territories.</li><li>
Identify, qualify, and develop new business opportunities across Electrification, Automation, Smart Infrastructure, and Digitalization segments.</li><li>
Build and maintain strong relationships with customers, consultants, developers, EPC contractors, utilities, and key stakeholders throughout the project lifecycle.</li><li>
Position Siemens as a trusted partner by promoting innovative and sustainable technology solutions that address customer challenges and business objectives.</li><li>
Conduct market analysis, monitor industry trends, assess customer needs, and identify emerging opportunities within designated sectors.</li><li>
Lead customer engagement activities, including technical presentations, solution workshops, value-based selling, contract negotiations, and commercial discussions.</li><li>
Collaborate with internal engineering, bid management, project execution, and service teams to deliver integrated and customer-focused solutions.</li><li>
Drive cross-selling and up-selling opportunities by leveraging Siemens' comprehensive portfolio of electrification, automation, software, and digital solutions.</li><li>
Maintain a healthy sales pipeline using CRM tools, ensuring accurate forecasting, opportunity tracking, risk assessment, and reporting.</li><li>
Gather and communicate competitive intelligence, market insights, and strategic developments to support business planning and growth initiatives.</li><li>
Support business planning and customer account strategies to maximize long-term revenue and customer satisfaction.</li></ul></div><div><b>
You&rsquo;ll win us over by having the following qualifications:</b></div><div><ul><li>
Bachelor's Degree in Electrical Engineering, Electronics Engineering, or a related discipline.</li><li>
Minimum 10 years of progressive experience in B2B sales, technical sales, solution selling, business development, or key account management.</li><li>
Proven experience in Electrification, Power Distribution, Protection Systems, Automation, Digitalization, Industrial, Infrastructure, Utility, Oil &amp; Gas, or related sectors.</li><li>
Strong understanding of electrical power systems, protection and control solutions, automation systems, and digital technologies.</li><li>
Demonstrated ability to develop customer relationships, influence stakeholders, and successfully close complex business opportunities.</li><li>
Excellent communication, presentation, negotiation, and relationship management skills.</li><li>
Experience using CRM platforms such as Salesforce and proficiency in Microsoft Office applications.</li><li>
Familiarity with AI-enabled sales tools for market analysis, forecasting, customer insights, opportunity management, and sales enablement.</li><li>
Experience working within a multinational and matrix organization.</li><li>
Strong commercial mindset with a customer-centric and results-driven approach.</li></ul></div><div><b>
We offer you</b></div><div><ul><li>
An inclusive and diverse workplace where everyone can thrive.</li><li>
A culture of innovation, collaboration, and continuous improvement.</li><li>
Exceptional learning, development, and career growth opportunities.</li><li>
Exposure to regional and global projects across multiple industries.</li><li>
The opportunity to contribute to sustainable and digital transformation initiatives that make a real impact on society.</li></ul></div><div><b>
Transform the everyday with us!</b></div><div></div><div><br>
If you are a motivated teammate, eager to learn new things and looking to grow your career in a strong and froward-thinking company, hit apply!. Siemens is dedicated to quality, equality, and valuing diversity, and we encourage applications that reflect the diversity of the communities within which we work. Siemens is an equal opportunities employer and do not discriminate unlawfully on any grounds. We are committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities.</div><div></div><div><br>
At Siemens, we are always challenging ourselves to build a better future. We need the most innovative and diverse Digital Minds to develop tomorrow &lsquo;s reality. Find out more about the Digital world of Siemens here: www.siemens.com/careers/digitalminds</div><div></div><div><br>
Please note: Only complete applications can be considered in the selection process.</div></div><div></div>

Vertical Sales Manager- Doha, Qatar

Accenture

<div><p>We are looking for a client-facing Full Stack Engineering Manager to lead the delivery of a large enterprise digital platform covering integration, workflow, microservices, web, mobile, and cloud infrastructure.</p><p></p><p><b>
Key Responsibilities</b></p><ul><li>
Lead multidisciplinary engineering teams across frontend, backend, integration, BPM, mobile, DevOps, and cloud.</li><li>
Engage with client stakeholders and translate requirements into technical solutions and delivery plans.</li><li>
Provide technical oversight across APIs, microservices, workflows, application architecture, security, performance, and deployment.</li><li>
Manage engineering quality, delivery risks, dependencies, releases, and production readiness.</li><li>
Drive Agile, DevSecOps, CI/CD, automated testing, observability, and engineering governance.</li><li>
Mentor engineering leads and coordinate with architects, product owners, testing teams, and infrastructure teams.</li><li>
Drive AI-assisted engineering across requirements, development, testing, code review, documentation, and DevSecOps, with appropriate quality, security, and governance controls.</li></ul></div>
<br>
<div><p><b>Required Skills</b></p><ul><li>
10+ years in software engineering with experience leading enterprise platform delivery.</li><li>
Strong understanding of full-stack development, microservices, APIs, cloud-native architecture, BPM, integration, and DevSecOps.</li><li>
Experience with Azure, OCI, AWS, or equivalent cloud platforms.</li><li>
Strong client management, communication, presentation, and problem-solving skills.</li><li>
Experience managing distributed engineering teams.</li><li>
Practical understanding of AI-enabled software engineering tools and their application across the full software development lifecycle.</li></ul><p><b>
Preferred</b></p><ul><li>
Experience with MuleSoft, Camunda, Next.js, React, Azure, and OCI.</li><li>
Arabic language skills and Middle East delivery experience are advantageous.</li></ul></div>

Full Stack Engineering Manager

BAE Systems

<div></div><div><div>Location
<p>Doha , Qatar
</p><div><p>Human resources</p>
<p>Experienced professionals</p></div></div></div>
<br><p></p><div><div><p>Instructors/Lecturers
<br>
at Qatar Technical Institute (QTI) form the backbone of the training ecosystem
<br>
and play a critical role in delivering high-quality UK Level 3/4 equivalent
<br>
vocational, technical and defence training, as well as Ministry of Education and
<br>
Higher Education (MoEHE)-approved undergraduate programmes, to military
<br>
students in Qatar.</p>
<p>The
<br>
primary responsibility of the Instructors/Lecturers is to plan, prepare,
<br>
deliver, assess and continuously improve learning activities that develop the
<br>
knowledge, skills, behaviours and competencies required by the Qatar Armed
<br>
Forces and other stakeholders. Instructors/Lecturers are expected to create
<br>
engaging, learner-centred environments that promote academic achievement,
<br>
practical competence, professional conduct and operational readiness.</p>
<p>Key attributes of Technical Instructors/Lecturers at QTI include:<br>
<br>
</p><ul><li>Deliver high-quality theoretical and practical instruction.
<br>
</li><li>Prepare
<br>
lesson plans and other training materials in accordance with approved curricula
<br>
and awarding body requirements.
<br>
</li><li>Assess
<br>
student performance and provide timely, constructive feedback.
<br>
</li><li>Maintain
<br>
accurate student records in accordance with organisational policies and LMS
<br>
platforms.
<br>
</li><li>Support
<br>
curriculum development and continuous improvement initiatives.
<br>
</li><li>Ensure
<br>
the safe operation and effective utilisation of laboratories, workshops,
<br>
training equipment, simulators, and instructional resources.
<br>
</li><li>Maintain
<br>
and enhance professional, technical, instructional, and subject matter
<br>
expertise through Continuing Professional Development (CPD) activities.
<br>
</li><li>Participate
<br>
in mandatory training, workshops, standardisation activities, and professional
<br>
and industry engagement opportunities.</li>
</ul><p>Instructors/Lecturers
<br>
are expected to demonstrate proficiency in the use of modern educational
<br>
technologies, digital learning platforms, audio-visual systems, interactive
<br>
training aids, and specialist laboratory or workshop equipment relevant to
<br>
their discipline. They must be capable of integrating technology-enhanced
<br>
learning approaches to improve student engagement and learning outcomes.</p>
<p>The
<br>
role requires strong technical expertise, effective communication skills,
<br>
professional integrity and a commitment to maintaining high standards of
<br>
teaching excellence, learner achievement and military/defence professionalism.</p>
<div></div><div><b>Core Responsibilities:</b>
</div><div></div><div>1. Training Delivery and Technical Instruction:</div>
<ul><li>Plan, prepare and deliver high-quality theoretical, practical,
<br>
laboratory, workshop and simulation-based training in accordance with approved
<br>
curricula, schemes of work and learning outcomes.
<br>
</li><li>Deliver engaging and effective instruction using a range of
<br>
teaching methodologies, including demonstrations, practical exercises,
<br>
projects, discussions, problem-based learning and technology-enhanced learning.
<br>
</li><li>Demonstrate and supervise the safe and effective use of specialist
<br>
equipment, tools, laboratories, workshops, simulators and training systems.
<br>
</li><li>Differentiate instruction to meet diverse learner needs and
<br>
support progression towards vocational, technical, defence and higher education
<br>
programmes.
<br>
</li><li>Utilise modern instructional technologies, digital learning platforms,
<br>
and audio-visual training aids to enhance learner engagement and achievement.</li>
</ul><p>2. Learner Development, Assessment and Quality
<br>
Assurance:</p>
<ul><li>Monitor learner progress and provide timely coaching, mentoring
<br>
and constructive feedback to support achievement and professional development.
<br>
</li><li>Conduct formative, summative, practical and competency-based
<br>
assessments in accordance with approved assessment strategies and quality
<br>
standards.
<br>
</li><li>Maintain accurate learner records, attendance data, assessment
<br>
documentation and progress reports within required timescales.
<br>
</li><li>Contribute to internal quality
<br>
assurance activities and the continuous improvement of training delivery,
<br>
assessment practices, and learner outcomes.</li>
</ul><p>3. Courseware Development and Continuous
<br>
Improvement:</p>
<ul><li>Support the development, review, maintenance and enhancement of
<br>
courseware, instructional materials, assessments and learning resources.
<br>
</li><li>Ensure instructional content remains technically accurate, current
<br>
and aligned with organisational, military, awarding body and MoEHE
<br>
requirements.
<br>
</li><li>Identify and implement opportunities to improve training effectiveness,
<br>
learner engagement, and programme performance.</li>
</ul><div></div><div>4. Health, Safety and Professional Compliance:</div>
<ul><li>Demonstrate exemplary Health, Safety, Environmental and Security
<br>
(SHE) behaviours and ensure compliance with all relevant policies, procedures
<br>
and safe systems of work.
<br>
</li><li>Promote a safe, disciplined and professional learning environment
<br>
within classrooms, laboratories, workshops and training facilities.
<br>
</li><li>Operate within established organisational communication, reporting, and
<br>
escalation processes.</li>
</ul><div></div><div>5. Military/Defence Engagement and Professional
<br>
Conduct:</div>
<ul><li>Maintain positive and
<br>
professional relationships with military personnel, learners, and
<br>
stakeholders.
<br>
</li><li>Operate effectively within a military training environment while
<br>
adhering to military protocols, standards and expectations.</li>
<li>Provide instructional support and training cover
<br>
as required to ensure continuity of programme delivery.<br>
<br>
</li></ul><p></p><br>
<h3 class="jobSectionHeader"><b>Requirements</b></h3>
<div><div><b>Qualification/Trade Knowledge:</b>
</div></div><div></div><div><b>Essential:</b></div>
<ul><li>Recognised
<br>
qualification at UK Level 4 or above in the relevant engineering, technical,
<br>
vocational or professional discipline, or equivalent industry experience.
<br>
</li><li>A
<br>
minimum of 5 years&rsquo; demonstrable industrial/defence experience and technical
<br>
competence within the relevant subject area.
<br>
</li><li>A
<br>
minimum of 2 years&rsquo; experience delivering technical, vocational, engineering,
<br>
defence or professional training in a structured learning environment.
<br>
</li><li>Competent
<br>
in the use of Microsoft Office applications and digital technologies to support
<br>
training delivery and administration.<br>
<br>
</li></ul><div><b>Desirable:</b></div>
<ul><li>Teaching,
<br>
training, assessing or instructional qualification, or equivalent.
<br>
</li><li>Experience
<br>
within a military, defence, aerospace, engineering or other highly regulated
<br>
environment.
<br>
</li><li>Experience in curriculum development, courseware
<br>
design, or assessment development.
<br>
</li><li>Knowledge
<br>
of vocational education, competency-based training and quality assurance
<br>
processes.
<br>
</li><li>Experience
<br>
using Learning Management Systems (LMS), simulation technologies and digital
<br>
learning platforms.
<br>
</li><li>Experience
<br>
in teaching/training in a multicultural environment.
<br>
</li><li>European
<br>
Aviation Safety Agency (EASA)/Defence Systems Approach to Training (DSAT)
<br>
knowledge and compliance.
<br>
</li><li>Licence,
<br>
defence certifications, relevant professional institution membership or
<br>
professional registration.
<br>
</li><li>Evidence of ongoing Continuing
<br>
Professional Development (CPD).<br>
<br>
</li></ul><div></div><div><br>
<div><b>Subject Area Coverage:</b>
</div></div><div></div><div><b>Primary:</b> Knowledge, skills,
<br>
qualifications and/or experience in delivering undergraduate-level
<br>
Cybersecurity and related subjects. This may include, but is not limited to,
<br>
Java, Python, object-oriented programming, data structures, algorithms,
<br>
debugging, testing, computer architecture, assembly language, operating
<br>
systems, network fundamentals, network configuration, cybersecurity principles,
<br>
applied cryptography, secure communication, database design, AI concepts,
<br>
machine learning basics, data modelling, analytics, visualisation techniques,
<br>
forensic principles, evidence acquisition, preservation, reporting, SIEM tools
<br>
(Splunk, Sentinel, QRadar), cloud, mobile, IoT, encryption challenges,
<br>
cybersecurity analytics, mathematical reasoning applied to computing (storage,
<br>
bandwidth, data representation), and Cybersecurity Project Work. Candidates
<br>
should also be capable of delivering practical laboratory and workshop-based
<br>
instruction.</div>
<div></div><div><b>Secondary:</b> In addition to the primary teaching
<br>
specialism, Instructors/Lecturers are required to support the delivery,
<br>
development, assessment, verification and administration of other subject
<br>
areas, programmes or training activities within the organisation, as directed
<br>
by the Customer, Line Manager, Head of Department or Head of the Organisation.</div><br>
<div></div><div><div>Such responsibilities will be allocated based on
<br>
the Instructors&rsquo;/Lecturers&rsquo; qualifications, professional experience,
<br>
industry background, demonstrated competence and previous teaching or training
<br>
experience. Where appropriate, Instructors/Lecturers may be provided with
<br>
internal training, mentoring, professional development, or familiarisation
<br>
activities to enable them to undertake additional teaching and training
<br>
responsibilities effectively.
</div></div></div><p></p><div><p>Human resources</p>
<p>Experienced professionals</p></div></div>

Cybersecurity Instructor/Lecturer

GROUPE SAUR

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

Technical & Asset Manager - Doha, Qatar

QatarEnergy

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

malomatia

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


Senior Consultant - AI Solution Architect

Baker Hughes

<div><p><b>Wireline Field Specialist - General</b></p><p></p><p>
Would you like to work with oilfield equipment?</p><p>
Would you like the opportunity to work for oilfield services company?</p><p></p><p><b>
Join our Oilfield Services Team</b></p><p>
Our Oilfield Services business provides intelligent, connected technologies to monitor and control our energy extraction assets. Our Digital Team partners with business units and clients to develop software and technical innovation. We create improvements and efficiency through service delivery, remote operations, automation and advanced analytics utilizing machine learning and Ai.</p><p></p><p><b>
Partner with the best</b></p><p>
As a General Wireline Field Specialist , you will be providing wellsite support and guidance to our global customers. You will have the opportunity to solve interesting and complex problems while utilizing the latest technology</p><p></p><p>
As a General Wireline Field Specialist , you will be responsible for:</p><ul><li><p>
Working under minimal supervision on day-to-day work by following instructions on wellsite activity.</p></li><li><p>
Evaluating work upon completion to ensure objectives have been met</p></li><li><p>
Assisting in providing completions logging and completions services at the workshop and wellsite</p></li><li><p>
Carrying out minor maintenance of equipment and assisting in actuating the completions equipment.</p></li><li><p>
Conducting all business activities in accordance to company HSE policies, legal compliance requirements and core values</p></li><li><p>
Executing all required responsibilities safely at well site as per equipment and logistics manuals.</p></li></ul><p></p><p><b>
Fuel your passion</b></p><p>
To be successful in this role you will:</p><ul><li><p>
Have a bachelor's degree in engineering discipline with 5 years of experience in Wireline Services</p></li><li><p>
Have worked with Baker Hughes</p></li><li><p>
Have experience in Offshore, Rig less is preferred</p></li><li><p>
Have Open Hole / Cased Hole experience</p></li><li><p>
Have Industry knowledge and product line training required</p></li></ul><p></p><p><b>
Work in a way that works for you</b></p><p>
We recognize that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too. In this role, we can offer the following flexible working patterns:</p><ul><li><p>
Working flexible hours - flexing the times you work in the day (Subject to Manager approval &amp; Work Demand)</p></li></ul><p></p><p><b>
Working with us</b></p><p>
Our people are at the heart of what we do at Baker Hughes. We know we are better when all of our people are developed, engaged and able to bring their whole authentic selves to work. We invest in the health and well-being of our workforce, train and reward talent and develop leaders at all levels to bring out the best in each other.</p><p></p><p><b>
Working for you</b></p><p>
Our inventions have revolutionized energy for over a century. But to keep going forward tomorrow, we know we have to push the boundaries today. We prioritize rewarding those who embrace change with a package that reflects how much we value their input. Join us, and you can expect:</p><ul><li><p>
Contemporary work-life balance policies and wellbeing activities</p></li><li><p>
Comprehensive private medical care options</p></li><li><p>
Safety net of life insurance and disability programs</p></li><li><p>
Tailored financial programs</p></li><li><p>
Additional elected or voluntary benefits</p></li></ul><p></p>
The Baker Hughes internal title for this role is: FIELD SPEC GEN - WLE<b>About Us:</b><div>
We are an energy technology company that provides solutions to energy and industrial customers worldwide. Built on a century of experience and conducting business in over 120 countries, our innovative technologies and services are taking energy forward &ndash; making it safer, cleaner and more efficient for people and the planet.</div><br>
<b>
Join Us:</b><div>
Are you seeking an opportunity to make a real difference in a company that values innovation and progress? Join us and become part of a team of people who will challenge and inspire you! Let&rsquo;s come together and take energy forward.<br>
<br>
Baker Hughes Company is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.</div></div>

General Field Specialist - Wireline Services

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