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ai applications ops lead, gps Jobs in Qatar

ai applications ops lead, gps

ai solutions architect

Multiverse Computing

<div>Multiverse Computing<div>
Multiverse Computing is a fast-growing deep-tech company founded in 2019 and recognized by CB Insights as one of the 100 most promising AI companies globally. We are the largest quantum software company in the EU, with 250+ employees worldwide building advanced AI and quantum solutions that help enterprises tackle complex, high-impact challenges across industries such as finance, energy, manufacturing, telecom, and industrials.</div><div>
Our mission is to enable organizations to gain a meaningful competitive edge through cutting-edge AI and quantum technologies.</div><div>
Why join us?
 
 
We are a European deep-tech leader in quantum and AI, backed by major global strategic investors and strong EU support. Our groundbreaking technology is already transforming how AI is deployed worldwide &mdash; compressing large language models by up to 95% without losing accuracy and cutting inference costs by 50&ndash;80%. Joining us means working on cutting-edge solutions that make AI faster, greener, and more accessible &mdash; and being part of a company often described as a &ldquo;quantum-AI unicorn in the making.&rdquo;</div><div>
This opportunity is to work from Qatar. We are looking for a talented Solutions Architect to join our pre-sales team and bridge the gap between our technology and our customers&rsquo; needs, crafting innovative, scalable, and robust AI- powered solutions.</div><div>
Key requirements:</div><ul><li>
Previous experience in a technical partner pre-sales or consulting role with a heavy emphasis on partner and customer-facing interactions (i.e. Solutions Architect, Sales Engineer, Implementation Consultant)</li><li>
Excellent communication and presentation skills, able to interface effectively with technical and non-technical stakeholders; experience writing technical proposals or responding to RFPs/tenders; experience running hands-on product demos independently.</li><li>
Strong knowledge of cloud platforms (AWS, Azure, GCP) and AI/ML services (e.g., SageMaker, Vertex AI, AzureML), including sovereign, on-premise, and hybrid deployment models.</li><li>
Familiarity with MLOps tools and practices: CI/CD, monitoring, and orchestration frameworks (e.g., Kubeflow, Flyte, MLflow); proficiency with Docker and Kubernetes for AI workload containerization.</li><li>
Understanding of LLM inference stacks (vLLM, llama.cpp, OpenVINO) and model delivery formats (ONNX, .safetensors, HuggingFace model hub).</li><li>
Experience sizing GPU infrastructure for LLM inference or training workloads (memory, throughput, hardware tiers from A10 to H200).</li><li>
Experience benchmarking and evaluating LLM performance (accuracy, latency, throughput).</li><li>
Hands-on coding skills in Python, SQL, and familiarity with ML libraries and frameworks (PyTorch, TensorFlow, Hugging Face).</li><li>
Bachelor's or master's degree in Computer Science, Data Science, Engineering, or related field.</li><li>
Must be available to travel as needed for meetings, conferences, and project requirements.</li><li>
Languages: Arabic and English</li></ul><div> 
Preferred Qualifications:</div><ul><li>
Experience with Computer Vision models, Speech models, Vision-Language models, and other modalities.</li><li>
Experience with AI model optimization, quantization, or deployment to edge devices.</li><li>
Hands-on experience designing RAG pipelines and/or multi-agent systems..</li><li>
Experience designing data architectures (batch &amp; streaming) and working with big data technologies.</li><li>
Knowledge of data privacy and ethical considerations in AI, including GDPR compliance and familiarity with the respective country AI Act.</li></ul>
Location: Applicants must have legal authorization to work in the country where the position is based<div> 
Perks &amp; Benefits:</div><ul><li>
Equal pay guaranteed.</li><li>
Signing bonus.</li><li>
Relocation package (if applicable).</li><li>
Eligibility for educational budget according to internal policy.</li><li>
Hybrid opportunity.</li><li>
Flexible working hours.</li><li>
Language classes and discounted lunch options</li><li>
Working in a high paced environment, working on cutting edge technologies.</li><li>
Career plan. Opportunity to learn and teach.</li></ul><div>
As an equal opportunity employer, Multiverse Computing is committed to building an inclusive workplace. The company welcomes people from all different backgrounds, including age, citizenship, ethnic and racial origins, gender identities, individuals with disabilities, marital status, religions and ideologies, and sexual orientations to apply.</div></div>

Mid/Senior Solution Architect - Qatar

Anotech

<div>
 
 Job Description
 
 
 
 
 Job Purpose:
 
 
 
 The Digital Solutions Architect leads the end-to-end architecture and governance of smart-city digital solutions delivered on Platform. The role ensures that solution designs from multiple vendors align to Platform&rsquo;s reference architectures, cloud-agnostic standards, security/compliance requirements, and platform service catalog. The architect translates business outcomes into actionable solution blueprints, ensures integration with Platform&rsquo;s shared services (identity, observability, data, APIs), and guides delivery through design reviews, implementation assurance, and operational readiness. The role supports scalable, reusable patterns for repeatable onboarding and deployment.
 
 
 
 Qualifications &amp; Experience
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s Degree in Computer Science Information Technology, Cybersecurity, a Master&rsquo;s degree is highly preferred.
 </li>
 <li>
 10+ years in solution/enterprise architecture for large-scale digital platforms (smart city, government, telco, or critical infrastructure preferred).
 </li>
 <li>
 Experience delivering cloud and hybrid solutions with Kubernetes, APIs, identity, and observability.
 </li>
 <li>
 Proven governance involvement (Design Authority, architecture boards, standards and exception processes).
 </li>
 <li>
 Background working with SIs/vendors under RFP/contracted delivery and acceptance criteria.
 </li>
 <li>
 Familiarity with TOGAF/ADM or similar architecture frameworks and agile delivery at scale.
 
 
 </li>
 </ul>
 
 Skills &amp; Abilities
 
 
 
 <ul>
 <li>
 Strong end-to-end solution architecture skills across apps, data, integration, security, and operations.
 </li>
 <li>
 Ability to govern multi-vendor delivery and drive alignment to standards without slowing execution.
 </li>
 <li>
 Excellent stakeholder management: translate between business, engineering, security, and operations.
 </li>
 <li>
 Proven ability to define NFRs (availability, performance, resiliency, scalability, observability).
 </li>
 <li>
 Structured documentation and decision-making (ADRs, reference architectures, patterns, roadmaps).
 
 
 </li>
 </ul>
 
 Tools
 
 
 
 <ul>
 <li>
 Architecture modeling: ArchiMate / Sparx EA / Visio / Draw.io
 </li>
 <li>
 API &amp; integration: OpenAPI/AsyncAPI, API gateways (Apigee / Azure APIM / Kong)
 </li>
 <li>
 Delivery governance: Azure DevOps / Jira/Confluence, Git (GitHub), IaC (Terraform/Bicep)
 
 
 </li>
 </ul>
</div>

Digital Solutions Architect

Confidential

<div>
 
 
 Integration &amp; Cloud Solutions Architect
 
 
 
 
 
 
 
 
 Overvie
 
 
 
 wWe are seeking an experienced Integration &amp; Cloud Solutions Architect to lead enterprise integration initiatives, cloud transformation programs, API management, and enterprise architecture activities across the organization. The successful candidate will be responsible for designing secure, scalable, and resilient integration and cloud solutions that support digital transformation, data exchange, business process automation, and interoperability between internal and external systems
 
 
 
 
 
 
 .
 
 Key Responsibiliti
 
 
 
 
 esEnterprise Integration &amp; API Manageme
 
 
 <ul>
 <li>
 ntDesign and implement enterprise integration architecture, integration frameworks, and API strategies aligned with organizational objective
 </li>
 <li>
 s.Develop and manage integrations between internal applications, ERP systems, data platforms, digital channels, external government entities, and third-party service provider
 </li>
 <li>
 s.Define and enforce enterprise integration standards, patterns, and best practice
 </li>
 <li>
 s.Design, implement, and manage API governance frameworks, API lifecycle management processes, and developer enablement capabilitie
 </li>
 <li>
 s.Establish reusable integration services and enterprise integration patterns to promote scalability and standardizatio
 </li>
 <li>
 n.Lead API security, authentication, authorization, throttling, monitoring, and performance optimization initiative
 </li>
 </ul>
 
 
 s.Cloud Architecture &amp; Transformati
 
 
 <ul>
 <li>
 onLead cloud adoption and modernization initiatives utilizing Microsoft Azure and related service
 </li>
 <li>
 s.Design secure, scalable, resilient, and high-availability cloud architecture
 </li>
 <li>
 s.Develop cloud migration strategies for enterprise applications and service
 </li>
 <li>
 s.Design hybrid cloud architectures integrating on-premises and cloud-based system
 </li>
 <li>
 s.Establish cloud governance frameworks, standards, and operating model
 </li>
 <li>
 s.Optimize cloud infrastructure utilization, performance, availability, and cost managemen
 </li>
 </ul>
 
 
 t.Architecture &amp; Technical Leadersh
 
 
 <ul>
 <li>
 ipLead solution architecture reviews and provide technical guidance across enterprise initiative
 </li>
 <li>
 s.Develop architecture blueprints, reference architectures, standards, and technical roadmap
 </li>
 <li>
 s.Participate in enterprise architecture governance and technology decision-making processe
 </li>
 <li>
 s.Evaluate emerging technologies and recommend solutions aligned with business requirement
 </li>
 <li>
 s.Support digital transformation initiatives through modern integration and cloud technologie
 </li>
 </ul>
 
 
 s.DevOps &amp; Platform Engineeri
 
 
 <ul>
 <li>
 ngPromote DevOps, CI/CD, Infrastructure as Code (IaC), and cloud-native development practice
 </li>
 <li>
 s.Design automated deployment pipelines and release management processe
 </li>
 <li>
 s.Support containerization and orchestration technologies where applicabl
 </li>
 <li>
 e.Collaborate with development teams to ensure secure and efficient software delivery practice
 </li>
 </ul>
 
 
 s.Security, Governance &amp; Complian
 
 
 <ul>
 <li>
 ceEnsure compliance with organizational security policies, governance frameworks, and audit requirement
 </li>
 <li>
 s.Design secure integration and cloud solutions aligned with cybersecurity best practice
 </li>
 <li>
 s.Implement monitoring, logging, observability, and disaster recovery capabilitie
 </li>
 <li>
 s.Ensure compliance with data privacy, data sovereignty, and regulatory requirement
 </li>
 <li>
 s.Conduct architecture risk assessments and mitigation plannin
 </li>
 </ul>
 
 
 g.Vendor &amp; Stakeholder Manageme
 
 
 <ul>
 <li>
 ntCollaborate with business stakeholders to understand requirements and translate them into scalable technology solution
 </li>
 <li>
 s.Manage relationships with technology vendors, cloud providers, and implementation partner
 </li>
 <li>
 s.Provide technical leadership during vendor evaluations, procurement activities, and solution selection processe
 </li>
 <li>
 s.Mentor technical teams and provide guidance on architecture and integration best practice
 </li>
 </ul>
 
 
 
 
 
 s.
 
 Requireme
 
 
 
 
 ntsEducat
 
 
 <ul>
 <li>
 ionBachelor's degree in Computer Science, Information Technology, Software Engineering, or a related fie
 </li>
 <li>
 ld.Master's degree is an advanta
 </li>
 </ul>
 
 
 ge.Certificati
 
 
 
 onsThe following certifications are highly desirab
 
 <ul>
 <li>
 le:Microsoft Certified: Azure Solutions Architect Exp
 </li>
 <li>
 ertMicrosoft Certified: Azure Administrator Associ
 </li>
 <li>
 ateMicrosoft Certified: Azure Developer Associ
 </li>
 <li>
 ateTOGAF Certificat
 </li>
 <li>
 ionAzure Security Certificati
 </li>
 <li>
 onsCloud Security Certifications (CCSP, CISSP, or equivale
 </li>
 </ul>
 
 
 
 
 
 nt)
 
 Experi
 
 
 <ul>
 <li>
 ence7&ndash;10 years of experience in enterprise integration, cloud architecture, solution architecture, or enterprise architect
 </li>
 <li>
 ure.Proven experience designing and implementing enterprise-scale integration and cloud soluti
 </li>
 <li>
 ons.Experience working in regulated industries such as government, pension funds, financial services, insurance, healthcare, or similar sectors is prefer
 </li>
 <li>
 red.Experience managing cloud transformation and enterprise modernization progr
 </li>
 <li>
 ams.Experience working with external government entities and secure data exchange platforms is highly desira
 </li>
 </ul>
 
 
 
 
 
 ble.
 
 Technical S
 
 
 
 killsStrong experience
 
 <ul>
 <li>
 with:Microsoft
 </li>
 <li>
 AzureAzure API Management (APIM) and/or A
 </li>
 <li>
 pigeeREST
 </li>
 <li>
 APIsEnterprise Integration Archite
 </li>
 <li>
 ctureAzure Func
 </li>
 <li>
 tionsAzure Logic
 </li>
 <li>
 AppsAzure Servic
 </li>
 <li>
 e BusAzure Event
 </li>
 <li>
 GridAzure Storage Ser
 </li>
 <li>
 vicesAzure Key
 </li>
 <li>
 VaultDevOps &amp;
 </li>
 <li>
 CI/CDGit-based source control plat
 </li>
 <li>
 formsInfrastructure as Code (Terraform, Bicep, ARM Templ
 </li>
 </ul>
 
 
 ates)Integration Technol
 
 
 
 ogiesExperience
 
 <ul>
 <li>
 with:API Design &amp; Gover
 </li>
 <li>
 nanceMicroservices Archite
 </li>
 <li>
 ctureEvent-Driven Archite
 </li>
 <li>
 ctureService-Oriented Architecture
 </li>
 <li>
 (SOA)Enterprise Service Bus (ESB) Plat
 </li>
 <li>
 formsMessage Queues and Event Streaming Technol
 </li>
 <li>
 ogiesSOAP and REST Ser
 </li>
 <li>
 vicesJSON and XML Stan
 </li>
 <li>
 dardsIdentity Federation and Single Sign-On
 </li>
 </ul>
 
 
 (SSO)Cloud &amp; Infrastru
 
 
 
 ctureExperience
 
 <ul>
 <li>
 with:Hybrid Cloud Archite
 </li>
 <li>
 ctureCloud Netwo
 </li>
 <li>
 rkingDisaster Recovery and Business Conti
 </li>
 <li>
 nuityHigh Availability Archite
 </li>
 <li>
 ctureCloud Security Archite
 </li>
 <li>
 ctureCost Optimization and FinOps Prac
 </li>
 <li>
 ticesMonitoring and Observability Plat
 </li>
 </ul>
 
 
 formsEnterprise Systems Integr
 
 
 
 ationExperience integra
 
 <ul>
 <li>
 ting:Oracl
 </li>
 <li>
 e ERPData Warehouses and Analytics Plat
 </li>
 <li>
 formsDocument Management Sy
 </li>
 <li>
 stemsHR and Finance Sy
 </li>
 <li>
 stemsCRM Plat
 </li>
 <li>
 formsGovernment Integration Platforms and External Service Prov
 </li>
 <li>
 idersIdentity and Access Management (IAM) Solu
 </li>
 </ul>
 
 
 
 
 
 tions
 
 Security &amp; Gove
 
 
 <ul>
 <li>
 rnanceStrong understanding of Zero Trust Architecture princ
 </li>
 <li>
 iples.Knowledge of cybersecurity frameworks and secure cloud architecture prac
 </li>
 <li>
 tices.Experience implementing API security standards including OAuth2, OpenID Connect, JWT, and certificate-based authentic
 </li>
 <li>
 ation.Understanding of audit, compliance, risk management, and data governance require
 </li>
 <li>
 ments.Experience establishing architecture governance frameworks and technical stan
 </li>
 </ul>
 
 
 
 
 
 dards.
 
 Business &amp; Leadership
 
 
 <ul>
 <li>
 SkillsStrong architecture, governance, and stakeholder management
 </li>
 <li>
 skills.Excellent communication and presentation capabi
 </li>
 <li>
 lities.Ability to communicate complex technical concepts to business and executive stakeh
 </li>
 <li>
 olders.Strong analytical and problem-solving
 </li>
 <li>
 skills.Experience leading cross-functional technical
 </li>
 <li>
 teams.Ability to balance strategic architecture planning with hands-on technical de
 </li>
 </ul>
 
 
 
 
 
 livery.
 
 Preferred Ex
 
 
 <ul>
 <li>
 perienceExperience supporting large-scale digital transformation p
 </li>
 <li>
 rograms.Experience with government integration platforms and secure inter-agency data e
 </li>
 <li>
 xchange.Experience implementing enterprise API platforms and developer
 </li>
 <li>
 portals.Experience with enterprise data platforms, master data management (MDM), and data governance init
 </li>
 <li>
 iatives.Experience in pension, social insurance, government, or public sector organi
 </li>
 <li>
 zations.Familiarity with enterprise architecture frameworks such a
 </li>
 </ul>
 
 
 
 s TOGAF.
</div>

Integration & Cloud Solutions Architect

Iberdrola

<div>Iberdrola Innovation Middle East, we are building a suite of highly scalable, cloud-native SaaS products and need a hands-on Senior Software Developer to lead the technical change within one of our core development squads. We are looking for a true builder, someone who loves to write clean, efficient code, understands how to scale applications to handle multi-tenant workloads, and has engineering best practices (CI/CD, automated testing) coded into his/her DNA. You will not only be the technical anchor for your small team of developers, guiding them by example, but you will also collaborate closely with senior developers from other squads to ensure our entire platform shares a cohesive, modern technology stack.
<ul><li>Primary mission : Lead the hands-on development of scalable, cloud-native SaaS features while setting the standard for code quality, automation, and technical alignment within your squad.
</li><li>Key stakeholders : Squad Software Developers, Product Manager, Data/AI Engineers, and Senior Developers from other squads.
</li><li>Employment type : Full-time
</li></ul>Jobs To Be Done
<ul><li>Hands-on Backend Development: Write robust, scalable, and maintainable backend code (primarily Java) for our core SaaS features, ensuring the underlying services can seamlessly handle high-traffic, multi-tenant growth.</li>
<li>Engineering Excellence &amp; Automation: Champion and implement automated testing, continuous integration, and continuous deployment (CI/CD) pipelines within the squad. Ensure that quality, security, and deployment automation are treated as foundational requirements, not afterthoughts.</li>
<li>Cross-Squad Technical Alignment: Collaborate frequently with senior developers from the other squads. Share knowledge, align on common technical patterns, and ensure your squad's deliverables integrate perfectly into the broader cloud platform.</li>
<li>System Design &amp; Implementation: Make pragmatic decisions about the right tools for the job. Design efficient APIs (REST and/or GraphQL), build containerized microservices (Docker), and select the most appropriate data storage solutions (SQL vs. NoSQL) based on specific use cases.</li>
<li>Cross-functional Integration: Work closely with Data Engineers and Data Scientists, leveraging your foundational understanding of Python, to seamlessly integrate AI models and data pipelines into the core SaaS application.</li>
<li>Technical Mentorship: Act as the technical anchor for a small team of developers. Guide them through complex coding challenges, conduct rigorous code reviews, and foster a culture of continuous learning and high-quality software craftsmanship.</li>
</ul>Education Requirements
<ul><li>Minimum: Bachelor&rsquo;s degree in Computer Science, Software Engineering, or equivalent deep, verifiable hands-on software engineering experience.</li>
<li>Preferred: Master&rsquo;s degree or relevant technical certification in Software Engineering or cloud platforms.</li>
<li>Licenses/Accreditations (nice to have): Professional Google Cloud Developer (highly preferred). Other respected technical certifications (e.g., Professional Google Cloud Architect) are a plus.</li>
</ul>Experience
<ul><li>Years of experience: 6&ndash;8+ years of hands-on software engineering, with a strong focus on backend development for scalable web or SaaS applications.</li>
<li>Domain exposure: Cloud environments (Google Cloud preferred, but AWS/Azure is acceptable), microservices, containerization (Docker), API design, and a solid understanding of modern database ecosystems.</li>
<li>Leadership/ownership: Proven experience technically guiding small development teams, owning complex feature deliveries from code to production, and actively driving engineering best practices within a team.</li>
</ul>Skills and Competencies
<ul><li>Technical:</li>
<li>Backend Development (Expert in Java or Node.js; strong preference for Java) &mdash; Must-have</li>
<li>Cloud-Native &amp; Containerization (Docker, Microservices) &mdash; Must-have</li>
<li>Database selection and data modeling (SQL and NoSQL) &mdash; Must-have</li>
<li>API Design &amp; Implementation (REST, GraphQL) &mdash; Must-have</li>
<li>CI/CD, Automated Testing, and Code Quality practices &mdash; Must-have</li>
<li>Foundational Python (enough to understand and collaborate with Data/AI engineers) &mdash; Must-have</li>
<li>Cloud Platforms (Google Cloud / GCP) &mdash; Nice-to-have (highly preferred)</li>
<li>Behavioural: Lead by Example (highly hands-on), Pragmatic Problem-Solving, Team Collaboration, Quality-First Mindset, and excellent communication skills to coordinate with other squads..</li>
<li>Tools/Systems: Git, CI/CD platforms (GitHub Actions, Google Cloud Build, etc.), Docker, Relational and Non-Relational DB engines.</li>
</ul>Why Us
<ul><li>Career growth: Be a technical pillar in a rapidly growing SaaS platform. You will define the engineering culture of your squad, work closely with cutting-edge AI/Data teams, and have the autonomy to build things the right way.</li>
<li>Culture: We have an engineering-first, builder mindset. We value working software and hands-on validation over endless theoretical debates. You will be a key technical leader in an international, highly skilled environment.</li>
<li>Rewards: Competitive tax-free salary in Qatar, comprehensive health benefits, relocation assistance, and modern workplace perks, among others.</li> 
</ul> 
Mobility Information
Please note that any applicant who is not a citizen of the country of the vacancy will be subject to compliance with the applicable immigration requirements to legally work in that country. 
 
Job Posting End Date: 
 
 
julio-31-2026</div>

Senior Software Developer

AH Asociados Qatar

Position: Architect - Designer - Grade A Location: Doha, Qatar Employment Type: Full-time (on-site) Start Date: To be confirmedAbout the RoleWe are seeking a motivated and design-oriented Architect to join our growing design team in Doha. The successful candidate will be responsible for developing creative and technically accurate architectural solutions for a wide range of projects, including luxury villas, VIP clubs, offices, and hospitality developments.Key Responsibilities<ul><li>Design and develop architectural projects, from Concept Design up to IFT stage.</li><li>Prepare 2D drawings using AutoCAD: Layouts, elvations, sections, details.</li><li>Produce 3D models and renders with SketchUp and rendering engines such as Enscape, Lumion, or D5.</li><li>Coordinate closely with interior design, structural, and MEP teams to ensure design consistency and technical integration.</li><li>Maintain organized project files, CAD standards, and drawing documentation according to company protocols.</li><li>Ensure that all drawings and deliverables comply with Qatar&rsquo;s building regulations and authority requirements.</li></ul>Qualifications &amp; Skills<ul><li>Bachelor&rsquo;s Degree in Architecture.</li><li>Grade A - Qatar's engineers comitte ( UPDA )</li><li>Proficiency in AutoCAD.</li><li>Proficiency in SketchUp and rendering engines: Enscape, Lumion or D5.</li><li>Knowledge in Photoshop,</li><li>Knowledge in Microsoft Office.</li><li>Knowledge of the regulations applicable for building design in Qatar such as: MM Baladiya regulations, Kahramaa, QCDD and Ashghal.</li><li>Ability to produce accurate drawings, organize tasks efficiently, and meet deadlines.</li><li>Fluent in English with good communication skills. Arabic knowledge is an asset.</li><li>Positive attitude, team-oriented, and willing to learn in a fast-paced environment.</li></ul>Contract Terms<ul><li>Probation period: 3 months.</li><li>Working hours: Sunday to Thursday, 7 AM &ndash; 5 PM. ( with 1 hour lunch break )</li><li>Location: Doha office (site visits may be required).</li></ul>Application Requirements<ul><li>Updated CV</li><li>Portfolio PDF or link.</li><li>Valid QID</li><li>Availability date and expected salary</li></ul>Tipo de puesto: Tiempo completoLicencia/Certificaci&oacute;n:<ul><li>GRADE A MMUP (Deseable)</li></ul>Lugar de trabajo: Empleo presencial

Architect - Designer - Grade A

Scale AI

<div>
 Scale&rsquo;s mission is to develop reliable AI systems for the world's most important decisions. Our core work consists of:
 
 
 <ul>
 <li>
 Creating custom AI applications that will impact millions of citizens
 </li>
 <li>
 Generating high-quality training data for national LLMs
 </li>
 <li>
 Upskilling and advisory services to spread the impact of AI
 
 
 </li>
 </ul>
 Scale is hiring ML Research Engineers to bridge the gap between emerging AI capabilities and mission-critical, real-world impact. In our Global Public Sector (GPS) division, we don&rsquo;t just implement tools; we conduct applied research to solve the unique challenges of sovereign AI.
 
 
 Your role is to move beyond off-the-shelf implementations. You will lead the research into Agent Design, Reliability, and AI Safety, developing novel system architectures that power high-stakes government applications. You will be the bridge between a research paper and a production-ready system that functions at scale.
 
 
 
 The Mission
 
 
 
 <ul>
 <li>
 Applied Agent Research: Leading the design of reliable, multi-step agentic systems and long-horizon reasoning frameworks that can solve complex problems for national security and public policy.
 </li>
 <li>
 Systemic Evaluation &amp; Red-Teaming: Developing rigorous benchmarks and evaluation protocols to ensure AI systems are safe, unbiased, and performant in high-stakes, non-commercial environments.
 </li>
 <li>
 Model Optimisation &amp; Selection: Conducting deep-dive research into model performance (both open-weight and closed) to identify the best tools for niche domains, optimising them through context engineering, RAG, and other inference-time techniques.
 
 
 </li>
 </ul>
 
 What You Will Do
 
 
 
 <ul>
 <li>
 Architect Agentic Systems: Design and build agent architectures, the harnesses, tool-use protocols, and logic flows that allow LLMs to function as reliable, autonomous agents in complex workflows.
 </li>
 <li>
 Drive Reliability &amp; Safety: Research and implement robust evaluation frameworks. This includes red-teaming for sovereign AI requirements and developing strategies to mitigate hallucinations in regulated data environments.
 </li>
 <li>
 Synthesise Deep Research: Build agents capable of autonomous information synthesis and long-horizon reasoning, enabling users to analyse massive datasets and extract actionable insights.
 </li>
 <li>
 Optimize for Niche Domains: Evaluate and adapt models for specialised use cases, such as LLM reasoning for low-resource languages, complex OCR tasks, or working in GPU-constrained environments
 </li>
 <li>
 Build Evaluation Frontiers: Create new, automated benchmarks that define what success looks like for AI in the public sector, ensuring our systems meet the highest standards of accuracy and sovereignty.
 </li>
 <li>
 Consult as a Technical Authority: Act as a subject matter expert for public sector leaders, advising on the practical limits, safety requirements, and performance trade-offs of emerging AI technologies.
 
 
 </li>
 </ul>
 
 Ideally, You Have
 
 
 
 <ul>
 <li>
 Engineering Rigour: Exceptional proficiency in Python and experience building agentic harnesses or AI infrastructure. You write production-ready code that is modular, scalable, and reliable.
 </li>
 <li>
 Applied Research Mindset: A track record of taking theoretical AI concepts and turning them into functional prototypes or products. You know how to read a paper and determine if its methods are actually viable for a production system.
 </li>
 <li>
 Evaluation Expertise: Experience in LLM benchmarking, red-teaming, or building evaluations that go beyond standard academic datasets.
 </li>
 <li>
 Advanced Degree: A Master&rsquo;s or PhD in Computer Science, Mathematics, or a related field (with a focus on ML) is preferred, but we value demonstrated impact and engineering excellence.
 
 
 </li>
 </ul>
 
 Nice to Haves
 
 
 
 <ul>
 <li>
 Agentic Systems Expert: Deep experience in building multi-agent systems, including chain-of-thought optimisation and tool-calling reliability.
 </li>
 <li>
 Sovereign AI Experience: Experience working with highly regulated data environments, on-premise deployments, or sensitive government use cases.
 </li>
 <li>
 Inference Optimisation: Knowledge of how to optimise model performance for environments with limited GPU capacity or specific latency requirements.
 </li>
 <li>
 Zero-to-One Mindset: You are comfortable navigating ambiguity and enjoy defining research directions from scratch to solve a specific product or mission need.
 
 
 </li>
 </ul>
 
 
 PLEASE NOTE:
 
 
 
 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.
 
 
 
 
 About Us:
 
 
 
 
 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,
 
 
 Ernst
 
 
 &amp;
 
 
 Young, 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.
 
 
 
 
 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.
 
 
 
 
 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
 
 
 Know Your Rights poster
 
 
 for additional information.
 
 
 
 
 We comply with the United States Department of Labor's
 
 
 Pay Transparency provision
 
 
 .
 
 
 
 
 
 PLEASE NOTE:
 
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Machine Learning Engineer, Global Public Sector

Al Khuwair Construction

About UsAl Khuwair Construction is a leading construction and infrastructure development company specializing in residential, commercial, industrial, and civil engineering projects. We are committed to delivering high-quality construction solutions through innovation, safety, operational excellence, and sustainable growth.As part of our digital transformation strategy, we are seeking a visionary and experienced AI Technology Director to lead the adoption and implementation of artificial intelligence technologies that will enhance project delivery, operational efficiency, safety performance, and business intelligence across the organization.Position OverviewThe AI Technology Director will be responsible for developing and executing the company's AI strategy, identifying opportunities for innovation, and leading the deployment of advanced technologies across construction operations, project management, engineering, procurement, and corporate functions. This executive leadership role will work closely with senior management to drive technology-enabled growth and competitive advantage.Key Responsibilities<ul><li>Develop and implement the company's artificial intelligence and digital innovation strategy</li><li>Identify opportunities to leverage AI, machine learning, predictive analytics, automation, and data science across construction and engineering operations</li><li>Lead enterprise-wide AI initiatives that improve project planning, scheduling, resource allocation, cost management, and risk assessment</li><li>Oversee the design, development, deployment, and management of AI-powered solutions and intelligent business systems</li><li>Implement predictive analytics for project forecasting, equipment maintenance, workforce planning, and operational performance</li><li>Utilize AI technologies to enhance safety monitoring, quality assurance, and compliance management</li><li>Establish AI governance frameworks, cybersecurity standards, data privacy controls, and ethical AI practices</li><li>Collaborate with executive leadership to align technology investments with business objectives</li><li>Lead multidisciplinary teams of AI engineers, data scientists, software developers, analysts, and technology professionals</li><li>Evaluate emerging technologies, strategic partnerships, and vendor solutions</li><li>Develop advanced business intelligence platforms and reporting capabilities</li><li>Manage AI project portfolios, budgets, timelines, resources, and performance metrics</li></ul>Qualifications<ul><li>Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, Engineering, or a related field</li><li>Master's degree, MBA, or PhD preferred</li><li>Minimum 8+ years of progressive technology leadership experience</li><li>Proven experience implementing AI, machine learning, automation, and advanced analytics solutions within enterprise environments</li><li>Strong knowledge of cloud computing, data engineering, AI platforms, enterprise systems, and cybersecurity frameworks</li><li>Experience leading digital transformation and innovation initiatives</li><li>Excellent leadership, communication, and stakeholder management skills</li><li>Strong strategic thinking, analytical, and problem-solving capabilities</li></ul>Preferred Qualifications<ul><li>Experience within construction, engineering, infrastructure, industrial services, or project-based industries</li><li>Knowledge of Building Information Modeling (BIM), construction management software, digital twins, IoT technologies, and smart construction solutions</li><li>Experience with predictive maintenance, computer vision, intelligent automation, and AI-driven project controls</li><li>Professional certifications in AI, cloud technologies, project management, cybersecurity, or data science are highly desirable</li><li>Familiarity with construction regulations, safety standards, and large-scale infrastructure projects</li></ul>What We Offer<ul><li>Competitive executive-level compensation package</li><li>Performance-based bonus opportunities</li><li>Comprehensive health and benefits program</li><li>Professional development and executive leadership growth opportunities</li><li>Innovative and technology-focused work environment</li><li>Opportunity to lead transformative AI initiatives within a growing construction organization</li><li>Direct involvement in strategic planning, digital transformation, and business innovation</li><li>Long-term career growth and leadership opportunities</li></ul>Pay: QAR45,000.00 - QAR50,000.00 per monthWork Location: In person

AI Technology Director

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