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project engineer

ai business engineer

<div><div><div><div>Qatar</div>
</div><div><div>Information Technology (IT)
</div></div><div><div>Group Functions
</div></div><div><p><b>Job Reference #</b></p>
<div>327972BR</div>
</div><div><p><b>City</b></p>
<div>Doha</div>
</div><div><p><b>Job Type</b></p>
<div>Full Time
</div></div><div><p><b>Your role</b></p>
<div>Are you an analytic thinker? Do you enjoy creating valuable insights with data? Do you want to play a key role in transforming our firm into an agile and digital organization?
<br>
<br>
At UBS, we re-imagine the way we work, the way we connect with each other &ndash; our colleagues, clients and partners &ndash; and the way we deliver value.<br>
<br>
As an AI Business Engineer, you will help design, develop, and deploy AI solutions that enhance operational efficiency, improve user experience, and drive innovation. This role involves close collaboration with cross-functional teams to ensure seamless AI implementation and maintenance.<br>
<br>
We&rsquo;re looking for an AI Business Engineer to:<br>
<br>
<ul><li>work with the crew to AI solution design and development to address business challenges.</li><li>collaborate with software engineers, and domain experts to identify and clarify use cases suitable for AI.</li><li>transform data into valuable insights that inform business decisions, making use of our internal.</li></ul>
data platforms and applying appropriate analytical techniques.<br>
<ul><li>partner with the crew to develop, train, and apply machine-learning models to make better predictions, automate.</li></ul>
manual processes, and solve challenging business problems.<br>
<ul><li>ensure the quality, security, reliability, and compliance of our solutions by applying our digital.</li></ul>
principles and implementing both functional and non-functional requirements.<br>
<ul><li>understand, represent, and advocate for client needs.</li></ul></div>
</div><div><p><b>Your team</b></p>
<div>In our agile operating model, crews are aligned to larger products and services fulfilling client needs and encompass multiple autonomous pods. You&rsquo;ll be working in the AI Transformation crew in Qatar focusing on driving the adoption of artificial intelligence across the bank to enhance efficiency, decision-making, and customer experiences.</div>
</div><div><p><b>Your expertise</b></p>
<ul><li>working in agile environments with understanding of agile delivery frameworks and DevOps environments.</li><li>background in data science, machine learning engineering, or applied research is a significant plus.</li><li>understanding and ability to apply AI engineering techniques.</li><li>ability to break down complex problems, analyze data, and develop innovative solutions.</li><li>flexibility to learn new technologies, frameworks, and methodologies as the field evolves.</li><li>strong communicator, from making presentations to technical writing.</li><li>willingness to experiment and think outside the box to push boundaries in AI.</li></ul>
</div><div><p><b>About us</b></p>
<div>UBS is a leading and truly global wealth manager and the leading universal bank in Switzerland. We also provide diversified asset management solutions and focused investment banking capabilities. Headquartered in Zurich, Switzerland, UBS is present in more than 50 markets around the globe.<br>
We know that great work is never done alone. That&rsquo;s why we place collaboration at the heart of everything we do. Because together, we&rsquo;re more than ourselves. Want to find out more? Visit ubs.com/careers.</div>
</div><div><p><b>How we hire</b></p>
<div>We may request you to complete one or more assessments during the application process. Learn more</div>
</div><div><p><b>Join us</b></p>
<div>At UBS, we know that it's our people, with their diverse skills, experiences and backgrounds, who drive our ongoing success. We&rsquo;re dedicated to our craft and passionate about putting our people first, with new challenges, a supportive team, opportunities to grow and flexible working options when possible. Our inclusive culture brings out the best in our employees, wherever they are on their career journey. And we use artificial intelligence (AI) to work smarter and more efficiently. We also recognize that great work is never done alone. That&rsquo;s why collaboration is at the heart of everything we do. Because together, we&rsquo;re more than ourselves.<br>
We&rsquo;re committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us.</div>
</div><div><p><b>Contact Details</b></p>
<div>UBS Business Solutions SA<br>
UBS Recruiting</div>
</div><div><p><b>Disclaimer / Policy statements</b></p>
<div>UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.</div></div></div></div><div></div>

AI Business Engineer

<div>
 <strong>
  Job Reference #
  <br/>
 </strong>
 327972BR
 <br/>
 <br/>
 <strong>
  Job Type
  <br/>
 </strong>
 Full Time
 <br/>
 <br/>
 <strong>
  Your role
  <br/>
 </strong>
 Are you an analytic thinker? Do you enjoy creating valuable insights with data? Do you want to play a key role in transforming our firm into an agile and digital organization?
 <br/>
 <br/>
 At UBS, we re-imagine the way we work, the way we connect with each other &ndash; our colleagues, clients and partners &ndash; and the way we deliver value.
 <br/>
 <br/>
 As an AI Business Engineer, you will help design, develop, and deploy AI solutions that enhance operational efficiency, improve user experience, and drive innovation. This role involves close collaboration with cross-functional teams to ensure seamless AI implementation and maintenance.
 <br/>
 <br/>
 We&rsquo;re looking for an AI Business Engineer to:
 <br/>
 <br/>
 <ul>
  <li>
   work with the crew to AI solution design and development to address business challenges.
  </li>
  <li>
   collaborate with software engineers, and domain experts to identify and clarify use cases suitable for AI.
  </li>
  <li>
   transform data into valuable insights that inform business decisions, making use of our internal.
   <br/>
   <br/>
  </li>
 </ul>
 data platforms and applying appropriate analytical techniques.
 <br/>
 <br/>
 <ul>
  <li>
   partner with the crew to develop, train, and apply machine-learning models to make better predictions, automate.
   <br/>
   <br/>
  </li>
 </ul>
 manual processes, and solve challenging business problems.
 <br/>
 <br/>
 <ul>
  <li>
   ensure the quality, security, reliability, and compliance of our solutions by applying our digital.
   <br/>
   <br/>
  </li>
 </ul>
 principles and implementing both functional and non-functional requirements.
 <br/>
 <br/>
 <ul>
  <li>
   understand, represent, and advocate for client needs.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Your team
  <br/>
 </strong>
 In our agile operating model, crews are aligned to larger products and services fulfilling client needs and encompass multiple autonomous pods. You&rsquo;ll be working in the AI Transformation crew in Qatar focusing on driving the adoption of artificial intelligence across the bank to enhance efficiency, decision-making, and customer experiences.
 <br/>
 <br/>
 <strong>
  Your expertise
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   working in agile environments with understanding of agile delivery frameworks and DevOps environments.
  </li>
  <li>
   background in data science, machine learning engineering, or applied research is a significant plus.
  </li>
  <li>
   understanding and ability to apply AI engineering techniques.
  </li>
  <li>
   ability to break down complex problems, analyze data, and develop innovative solutions.
  </li>
  <li>
   flexibility to learn new technologies, frameworks, and methodologies as the field evolves.
  </li>
  <li>
   strong communicator, from making presentations to technical writing.
  </li>
  <li>
   willingness to experiment and think outside the box to push boundaries in AI.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About Us
  <br/>
 </strong>
 UBS is a leading and truly global wealth manager and the leading universal bank in Switzerland. We also provide diversified asset management solutions and focused investment banking capabilities. Headquartered in Zurich, Switzerland, UBS is present in more than 50 markets around the globe.
 <br/>
 <br/>
 We know that great work is never done alone. That&rsquo;s why we place collaboration at the heart of everything we do. Because together, we&rsquo;re more than ourselves. Want to find out more? Visit ubs.com/careers.
 <br/>
 <br/>
 <strong>
  How We Hire
  <br/>
  <br/>
 </strong>
 We may request you to complete one or more assessments during the application process. Learn more
 <br/>
 <br/>
 <strong>
  Join us
  <br/>
 </strong>
 At UBS, we know that it's our people, with their diverse skills, experiences and backgrounds, who drive our ongoing success. We&rsquo;re dedicated to our craft and passionate about putting our people first, with new challenges, a supportive team, opportunities to grow and flexible working options when possible. Our inclusive culture brings out the best in our employees, wherever they are on their career journey. And we use artificial intelligence (AI) to work smarter and more efficiently. We also recognize that great work is never done alone. That&rsquo;s why collaboration is at the heart of everything we do. Because together, we&rsquo;re more than ourselves.
 <br/>
 <br/>
 We&rsquo;re committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us.
 <br/>
 <br/>
 <strong>
  Disclaimer / Policy Statements
  <br/>
 </strong>
 UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.
</div>


Codvo.ai

<div><div><div><p><b>Project Manager &ndash; Digital Transformation (Data &amp; AI, Oil &amp; Gas) (Category &ndash; Project Manager)</b></p><p><b>
Sector: Oil and Gas</b></p><p><b>
Location: Doha, Qatar</b></p><div></div><p><b><br>
Company Overview:</b></p><p>
At Codvo, software and people transformations go hand-in-hand. We are a global empathy-led technology services company. Product innovation and mature software engineering are part of our core DNA. Respect, Fairness, Growth, Agility, and Inclusiveness are the core values that we aspire to live by each day.</p><p>
We continue to expand our digital strategy, design, architecture, and product management capabilities to offer expertise, outside-the-box thinking, and measurable results.</p><p></p><p><b><br>
Our Vision: Engineering the Future of Energy with Data</b></p><p>
Our digital transformation is moving from strategy to execution. We have a clear, funded roadmap of high-impact data and AI use cases designed to fundamentally re-engineer our operations&mdash;from improving drilling efficiency and implementing predictive maintenance on critical assets to enhancing subsurface modeling for better exploration outcomes. This is not just an IT upgrade; it is a core business imperative to create a more resilient, efficient, and intelligent energy company. We are now building the core team of innovators and builders to deliver these initiatives. This Data Engineer role is critical to bringing that vision to life, moving beyond theory to engineer the specific, robust data solutions that will power our most strategic projects and deliver measurable value.</p><p></p><p><b><br>
Job Description:</b></p><p>
We are seeking highly skilled Project Manager to lead our digital transformation initiatives across the organization. This role is central to driving efficiency, unlocking business value, and embedding innovation by leveraging Data, AI, and modern cloud technologies. You will oversee the planning, execution, and delivery of transformation projects, ensuring alignment with business goals, regulatory requirements, and the unique operational demands of the oil &amp; gas industry.</p><p></p><p><b><br>
Key Responsibilities</b></p><p>
Program &amp; Project Delivery</p><p>
o Lead end-to-end project management for digital transformation initiatives, from scoping and business case development to execution and benefits realization.</p><p>
o Establish clear project charters, structured project plans, and KPIs to track outcomes, not just outputs.</p><p>
o Apply Agile project management methodologies for effective scheduling, resource planning, and milestone delivery.</p><p>
o Manage cross-functional teams spanning IT, OT, data science, cloud engineering, and business stakeholders.</p><p>
Digital &amp; Data Transformation</p><p>
o Drive initiatives leveraging Azure (primary), with supplementary work in Google Cloud and SAP ecosystems.</p><p>
o Oversee projects involving Databricks, AI/ML, advanced analytics, and data platform buildouts.</p><p>
o Drive end-to-end business analysis and lead the execution of solution delivery, translating complex business needs into clear actionable requirements and overseeing the implementation to ensure realization of expected business value and solution adoption.</p><p>
o Possesses strong communication and stakeholder management capabilities to effectively engage executive leadership, cross-functional teams, and external vendors driving alignment, influencing outcomes, and leading timely, high-quality decisions-making throughout the project lifecycle.</p><p>
Stakeholder Engagement</p><p>
o Partner with business leaders, engineers, and AI specialists to translate operational challenges into scalable digital solutions.</p><p>
o Communicate complex technology initiatives in business terms for executive stakeholders.</p><p>
o Manage organizational change to ensure adoption across technical and non-technical teams.</p><p>
Governance &amp; Compliance</p><p>
o Ensure projects align with industry regulations, HSE standards, and data security requirements.</p><p>
o Establish governance frameworks for AI and data initiatives, balancing innovation with risk management.</p><p>
Value Realization</p><p>
o Translate transformation outputs (dashboards, models, workflows) into measurable business outcomes (efficiency gains, reduced downtime, safety improvements).</p><p>
o Monitor ROI and continuously refine project portfolios based on impact.</p><p></p><p><b><br>
Required Skills &amp; Experience</b></p><ul><li>Project Management Expertise: 10+ years of experience leading large-scale digital transformation projects, with formal PM qualifications (PMP, PRINCE2, or equivalent).</li><li>Methodology: Strong background in Agile delivery, including scheduling, dependency management, and milestone tracking.</li><li>Oil &amp; Gas Industry Knowledge: Familiarity with upstream, midstream, or downstream processes, including exposure to OT data (SCADA, historians, WITSML, Petrel).</li><li>Cloud &amp; Data Platforms: Proven experience managing projects in Azure, with working knowledge of GCP and SAP integrations. Familiarity with Databricks is essential.</li><li>AI &amp; Data Literacy: Understanding AI/ML workflows, RAG, knowledge graphs, and data engineering concepts in enterprise settings.</li><li>Stakeholder Management: Demonstrated ability to engage executives, technical teams, and field operations in complex change programs.</li><li>Delivery Track Record: Strong background in managing budgets, risks, and schedules in highly regulated, safety-conscious industries.</li></ul><p></p><p><b><br>
Preferred Skills</b></p><ul><li>Experience in data governance frameworks and AI ethics in industrial settings.</li><li>Familiarity with multi-cloud deployments and hybrid architectures.</li><li>Strong business acumen, with the ability to tie technology investments to commercial value.</li></ul></div></div></div><p></p>

Project Manager (Data & AI, Oil & Gas) (Doha)

Protiviti Middle East Member Firm

<div>
 <p>
  <strong>
   Overview:
  </strong>
 </p>
 <p>
  We are seeking a Senior Data &amp; AI Consultant with 5+ years of experience spanning data architecture, data governance, and AI/ML solution development.
 </p>
 <p>
  <br/>
 </p>
 <p>
  The ideal candidate should have broad exposure across the Data &amp; AI lifecycle - from data strategy and governance to architecture, engineering, and advanced analytics - while specializing in at least one of the following areas: (1) Data Strategy &amp; Governance, or (2) Data Management, or (3) Data Science/AI/ML Engineering. Candidate should be bilingual with full proficiency in Arabic and English.
  <strong>
  </strong>
 </p>
 <p>
  This role requires strong technical depth, consulting acumen, and client-facing communication skills. The consultant will work with diverse clients across industries, driving enterprise data and AI transformation programs. The role is based in Doha, with travel expected to other Middle Eastern client locations as required.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities
  </strong>
 </p>
 <p>
  <strong>
   1. Data Strategy &amp; Advisory
  </strong>
 </p>
 <ul>
  <li>
   Develop and implement enterprise-wide data and AI strategies aligned with business goals.
  </li>
  <li>
   Assess organizational data &amp; AI maturity and define transformation roadmaps.
  </li>
  <li>
   Advise clients on data lifecycle management, and responsible AI adoption.
  </li>
  <li>
   Conduct workshops with CXOs and business leaders to align business priorities with data &amp; AI initiatives.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   2. Data Architecture &amp; Engineering
  </strong>
 </p>
 <ul>
  <li>
   Design and implement modern data platforms on Microsoft Azure, ensuring scalability, performance, and compliance.
  </li>
  <li>
   Develop conceptual, logical, and physical data models for operational and analytical use cases.
  </li>
  <li>
   Architect data pipelines for batch and real-time ingestion using Azure Data Factory, Synapse, Databricks, and related tools.
  </li>
  <li>
   Implement data quality, metadata management, and lineage tracking leveraging Azure Purview or equivalent governance tools.
  </li>
  <li>
   Collaborate with AI teams to enable data readiness for AI/ML workloads and ensure seamless integration across the ecosystem.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   3. AI &amp; Advanced Analytics
  </strong>
 </p>
 <ul>
  <li>
   Lead AI/ML solution design and deployment, translating business problems into technical AI solutions.
  </li>
  <li>
   Build and operationalize machine learning and Generative AI use cases on Azure (e.g., Azure Machine Learning, OpenAI, Cognitive Services).
  </li>
  <li>
   Implement MLOps practices for CI/CD, model monitoring, and lifecycle management.
  </li>
  <li>
   Ensure Responsible AI practices are embedded - fairness, explainability, transparency, and ethical governance.
  </li>
  <li>
   Collaborate with data teams to develop end-to-end AI pipelines, from data sourcing to model deployment.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   4. Consulting, Pre-Sales &amp; Thought Leadership
  </strong>
 </p>
 <ul>
  <li>
   Lead client workshops, PoCs, and pre-sales solutioning across Data and AI engagements.
  </li>
  <li>
   Support proposal development, client demos, and design of value-driven use cases.
  </li>
  <li>
   Contribute to thought leadership through whitepapers, blogs, and conference presentations.
  </li>
  <li>
   Mentor junior consultants and foster a culture of learning and innovation.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications
  </strong>
 </p>
 <p>
  <strong>
   Education &amp; Experience
  </strong>
 </p>
 <p>
  Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Data Engineering, AI, or Information Systems.
 </p>
 <p>
  5+ years of experience in data &amp; AI consulting, architecture, or strategy roles.
 </p>
 <p>
  Experience working with Azure ecosystem and familiarity with one or more of: AWS, GCP.
 </p>
 <p>
  Experience across multiple industries such as Public Sector, Financial Services, Oil &amp; Gas, Government, Healthcare, and Utilities.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Technical Expertise (Candidates should have expertise in one or more domains)
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   A. Data Management
  </strong>
 </p>
 <ul>
  <li>
   Azure Data Factory, Synapse Analytics, Data Lake, Delta Lake, Databricks, Event Hubs, Stream Analytics.
  </li>
  <li>
   Proficiency in SQL, Python, and Spark.
  </li>
  <li>
   Data Modeling (Conceptual, Logical, Physical), ETL/ELT, Data Quality frameworks.
  </li>
  <li>
   Familiarity with MS Fabric and open-source technologies (Airflow, Kafka, Presto).
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   B. Data Governance &amp; Strategy
  </strong>
 </p>
 <ul>
  <li>
   Knowledge of DAMA-DMBOK, CMMI-DMM, or equivalent maturity models.
  </li>
  <li>
   Experience with Informatica Data Governance Suite of Solutions (Axon, IDQ, EDC, IDMC).
  </li>
  <li>
   Understanding of global data privacy and sovereignty laws.
  </li>
  <li>
   Ability to define data governance operating models and stewardship structures.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   C. AI/ML Engineering
  </strong>
 </p>
 <ul>
  <li>
   Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, or Azure ML.
  </li>
  <li>
   Hands-on experience with Generative AI (LLMs, RAG, Prompt Engineering).
  </li>
  <li>
   Strong understanding of MLOps pipelines and model lifecycle automation.
  </li>
  <li>
   Experience in at least three AI domains: NLP, Predictive Modeling, Computer Vision, Recommender Systems, or Anomaly Detection.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Consulting &amp; Leadership Skills
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Strong client-facing communication and stakeholder management.
 </p>
 <p>
  Ability to translate technical insights into business outcomes.
 </p>
 <p>
  Experience in pre-sales engagements, proposals, and workshops.
 </p>
 <p>
  Leadership in mentoring teams and driving delivery excellence.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Certifications (Preferred)
  </strong>
 </p>
 <p>
  Microsoft Certified: Azure Data Engineer Associate / Azure Solutions Architect / Azure AI Engineer Associate.
 </p>
 <p>
  DAMA Certified Data Management Professional (CDMP) or equivalent.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Location &amp; Travel
  </strong>
 </p>
 <p>
  Based in Doha, with travel to GCC (UAE, KSA) client locations as required.
 </p>
</div>


Manager/ Senior Manager - Senior Data & AI Consultant - (Arabic Speaker)

Scale AI

<div></div><div><div><div>Equal opportunity employer</div></div><div></div><div><div>
Remote-friendly culture</div></div><div></div><div><div>
Competitive benefits package</div></div></div>
<br><div><p>Scale&rsquo;s rapidly growing International Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of:</p>
<ul>
<li>Creating custom AI applications that will impact millions of citizens</li>
<li>Generating high-quality training data for custom LLMs</li>
<li>Upskilling and advisory services to spread the impact of AI</li>
</ul>
<div>As a Software Engineer (Forward Deployed), you&rsquo;ll collaborate directly with public sector counterparts to quickly build full-stack, AI applications to solve their most pressing challenges and achieve meaningful impact for citizens.</div>
<div>
At Scale, we&rsquo;re not just building AI solutions&mdash;we&rsquo;re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you&rsquo;re ready to shape the future of AI in the public sector and be a founding member of our team, we&rsquo;d love to hear from you.</div>
<div><b>
You will:</b></div>
<ul>
<li>Partner with public sector clients to deeply understand their challenges and define AI-driven solutions</li>
<li>Scope and implement comprehensive solutions to ambiguous customer problems</li>
<li>Build and maintain end-to-end web applications using modern frameworks and technologies.</li>
<li>Leverage database systems to manage and query data efficiently</li>
<li>Deploy and manage infrastructure on cloud service environments for scalability and reliability</li>
<li>Build customer facing products and integrate with AI models to deliver intelligent and interactive user experiences</li>
<li>Work cross-functionally with design, product, and data teams to create robust applications</li>
<li>Spend significant time onsite with clients, including traveling up to 1-2 weeks per month as needed</li>
</ul>
<div><b>Ideally you&rsquo;d have:</b></div>
<ul>
<li>A strong engineering background, with a Bachelor&rsquo;s degree in Computer Science, Mathematics, or a related quantitative field (or equivalent practical experience)</li>
<li>5+ years of post-graduation, full-stack engineering experience with demonstrated proficiency in Python, Node, React, Next.js, TypeScript/JavaScript, or similar</li>
<li>Can-do attitude with a good handle on infrastructure and system design</li>
<li>Experience working directly with customers and within customer infrastructure</li>
</ul>
<div><b>Nice to haves:</b></div>
<ul>
<li>Proficient in Arabic</li>
<li>Past experience working at a startup as a CTO or founding engineer or in a forward deployed engineer / dedicated customer engineer role</li>
<li>Experience working cross functionally with operations</li>
<li>Experience building solutions with LLMs and a deep understanding of the overall Gen AI landscape</li>
</ul><div><div><b><i>
PLEASE NOTE: </i></b><i>Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.</i></div>
<div><b>
About Us:</b></div>
<div><i>
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.</i></div>
<div><i>
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.</i></div>
<div><i>
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's </i><i>Know Your Rights poster</i><i> for additional information.</i></div>
<div><i>
We comply with the United States Department of Labor's </i><i>Pay Transparency provision</i><i>.</i></div>
<div><b><i>
PLEASE NOTE: </i></b><i>We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants&rsquo; needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our </i><i>privacy policy</i><i> for additional information.</i></div></div></div>

Software Engineer (Forward Deployed), International Public Sector

Edison Smart®

<div>
 <p>
  <strong>
   AI Architect &ndash; Doha - Up to 30,000 QAR
  </strong>
 </p>
 <p>
  The AI Architect will be responsible for designing end-to-end AI solutions that enable organisations to adopt advanced automation, analytics, and intelligent systems at scale. This role focuses on creating practical, outcome-driven AI architectures that integrate seamlessly with existing enterprise platforms and deliver measurable business value.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <p>
  <strong>
   AI Architecture &amp; Solution Delivery
  </strong>
 </p>
 <ul>
  <li>
   Design and implement scalable AI architectures using cloud-native platforms such as Azure AI Foundry and Google&rsquo;s AI/ML ecosystem.
  </li>
  <li>
   Leverage pre-built services (NLP, computer vision, predictive modelling, conversational agents) to accelerate delivery.
  </li>
  <li>
   Develop solution blueprints aligned with organisational goals and broader digital transformation initiatives.
  </li>
 </ul>
 <p>
  <strong>
   Enterprise Integration &amp; Data Engineering
  </strong>
 </p>
 <ul>
  <li>
   Integrate AI workloads with core enterprise systems (ERP, CRM, operational platforms, data warehouses).
  </li>
  <li>
   Connect structured and unstructured data sources using APIs, middleware, and automation tools.
  </li>
  <li>
   Build and optimise data pipelines to support model training, inference, and continuous improvement.
  </li>
 </ul>
 <p>
  <strong>
   AI Governance, Security &amp; Risk
  </strong>
 </p>
 <ul>
  <li>
   Ensure compliance with global and regional data-protection frameworks (GDPR, HIPAA equivalents, local regulations).
  </li>
  <li>
   Monitor and manage risks related to model bias, transparency, explainability, and trust.
  </li>
  <li>
   Apply robust security and governance standards across all AI deployments.
  </li>
 </ul>
 <p>
  <strong>
   Applied AI Implementation
  </strong>
 </p>
 <ul>
  <li>
   Deploy and customise AI models for real-world use cases across different business functions.
  </li>
  <li>
   Configure conversational AI, intelligent agents, and knowledge systems to support operational requirements.
  </li>
  <li>
   Assess updates from cloud vendors and drive continuous enhancement of AI capabilities.
  </li>
 </ul>
 <p>
  <strong>
   Stakeholder Collaboration &amp; Advisory
  </strong>
 </p>
 <ul>
  <li>
   Work closely with technical and business teams to identify opportunities for applied AI adoption.
  </li>
  <li>
   Communicate complex AI concepts in a clear, practical manner to non-technical stakeholders.
  </li>
  <li>
   Guide teams through AI-enabled transformation, ensuring solutions deliver measurable impact.
  </li>
 </ul>
 <p>
  <strong>
   Performance Engineering &amp; Scalability
  </strong>
 </p>
 <ul>
  <li>
   Optimise AI architectures for speed, performance, and reliability.
  </li>
  <li>
   Implement monitoring frameworks, KPIs, and continuous optimisation cycles.
  </li>
  <li>
   Assess ROI and operational impact of AI deployments.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications &amp; Experience
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    8+ years
   </strong>
   in solution architecture, with
   <strong>
    4+ years
   </strong>
   focused on applied AI/ML projects.
  </li>
  <li>
   Bachelor&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Preferred Certifications
  </strong>
 </p>
 <ul>
  <li>
   AI development or architecture certifications (e.g., Microsoft Certified AI Engineer/Architect).
  </li>
  <li>
   Azure AI Foundry, Google Cloud AI/ML credentials.
  </li>
  <li>
   Software engineering or solution architecture certifications.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Skills
  </strong>
 </p>
 <ul>
  <li>
   Strong expertise in AI solution development and applied AI delivery.
  </li>
  <li>
   Deep knowledge of AI concepts, frameworks, models, and lifecycle management.
  </li>
  <li>
   Ability to perform architecture evaluations, scenario modelling, component design, and impact assessments.
  </li>
  <li>
   Strong understanding of SDLC, requirements gathering, and technical design.
  </li>
  <li>
   Proficiency with Azure AI Foundry and enterprise-grade AI orchestration.
  </li>
  <li>
   Hands-on experience with Google Agent Builder, multi-agent systems, and associated SDKs.
  </li>
  <li>
   Knowledge of advanced RAG techniques for enterprise knowledge management.
  </li>
  <li>
   Strong database and data-architecture skills (SQL, NoSQL, vector DBs, knowledge graphs).
  </li>
  <li>
   Ability to design secure, scalable, high-performing AI systems.
  </li>
  <li>
   Excellent communication and stakeholder engagement skills.
  </li>
 </ul>
</div>


Artificial Intelligence Architect - Doha (Up to 30,000 QAR)

RITS

<p><b>LLM &amp; Multi-Agent Solutions Engineer</b></p><p><b>Role Summary:</b><br/>Build intelligent AI solutions using Large Language Models (LLMs) and multi-agent frameworks for automation, reasoning, and advanced workflows.</p><p><b>Key Responsibilities:</b></p><ul><li>Develop LLM-powered applications using GPT, Llama, Claude, or similar.</li><li>Build multi-agent systems using LangChain, AutoGen, or custom frameworks.</li><li>Integrate LLMs with external tools, APIs, and enterprise systems.</li><li>Optimize prompts, fine-tune models, and manage vector databases.</li><li>Ensure security, compliance, and performance of AI pipelines.</li></ul><p><b>Requirements:</b></p><ul><li>Strong experience in generative AI, LLMs, and prompt engineering.</li><li>Familiarity with LangChain, LlamaIndex, AutoGen, or similar frameworks.</li><li>Proficiency in Python, REST APIs, and cloud AI services (Azure OpenAI, AWS Bedrock, etc.).</li><li>Understanding of embeddings, vector databases (FAISS, Pinecone, Chroma), and RAG.</li><li>Experience with MLOps or AI orchestration tools is a plus.</li></ul><p>Job Types: Full-time, Permanent</p><p>Application Question(s):</p><ul><li>Are you familiar with LangChain, LlamaIndex, AutoGen, or similar frameworks. ?</li><li>What is your expected salary?</li><li>What is your earliest availability to join?</li></ul><p>Education:</p><ul><li>Bachelor's (Required)</li></ul><p>Experience:</p><ul><li>LLM &amp; Multi-Agent Solutions Engineer: 3 years (Preferred)</li><li>generative AI, LLMs, and prompt engineering: 2 years (Preferred)</li><li>Python, REST APIs, and cloud AI services: 2 years (Preferred)</li></ul>

LLM & Multi-Agent Solutions Engineer

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LLM & Multi-Agent Solutions Engineer