architect

it support

it support engineer

sales engineer

ac ttechnician

ai solutions architect

Omnix

<div><div><div><div><h5 class="jobSectionHeader">Egypt</h5>
Posted : 12 Jun 2026
<ul><li>Engineering | Information Technology</li>
<li>Digital Solutions - Delivery</li>
</ul><ul><li>Full Time</li></ul>
</div><div>We are looking for a Digital Solutions Enterprise Architect to serve as the primary technical leader for large-scale digital transformation projects. Based in Egypt and working remotely, you will travel to GCC client sites as required. This is a senior role; we need someone who can lead architecture decisions, guide delivery teams, and translate complex business requirements into scalable, secure, and resilient solutions from day one.
<ul><li>Location: Egypt (Remote) GCC Travel Required</li>
<li>Employment Type: Full-Time</li>
<li>Reports To: Digital Solutions Delivery Manager</li>
<li>Language Requirement: Arabic and English (Mandatory)</li>
</ul><h2 class="jobSectionHeader">Roles &amp; Responsibilities</h2>
<h3 class="jobSectionHeader">Enterprise Solution Architecture</h3>
<ul><li>Define the technical vision, strategy, and roadmap for large-scale projects aligned with enterprise architecture standards.</li>
<li>Design scalable, secure, and resilient solutions across Cloud, Microservices, Integration Platforms, Automation, and Data/AI technologies.</li>
<li>Act as the decision-maker on architecture choices, evaluating and selecting the right technologies for each business need.</li>
<li>Establish and enforce architecture governance, design patterns, and development standards across all delivery efforts.</li>
<li>Own Architecture Decision Records (ADRs), ensuring all technical decisions are documented and traceable.</li>
</ul><h3 class="jobSectionHeader">Technical Team Leadership</h3>
<ul><li>Lead and mentor large project teams, including senior developers and technical leads.</li>
<li>Oversee technical implementation and delivery, ensuring adherence to architectural design and project milestones.</li>
<li>Act as the escalation point for technical challenges &mdash; providing hands-on guidance to unblock the team.</li>
<li>Manage technical debt proactively, balancing delivery speed with long-term maintainability.</li>
<li>Foster engineering excellence through code reviews, pair programming, and internal tech knowledge sharing.</li>
</ul><h3 class="jobSectionHeader">DevSecOps &amp; Quality Engineering</h3>
<ul><li>Champion CI/CD pipelines, automated testing strategies, and Infrastructure-as-Code practices.</li>
<li>Define SLAs, SLOs, and observability standards including logging, monitoring, and alerting.</li>
</ul><h3 class="jobSectionHeader">Strategic Business &amp; Delivery Alignment</h3>
<ul><li>Translate business objectives and digital service requirements into clear, executable technical specifications.</li>
<li>Proactively identify technical risks, dependencies, and bottlenecks across the delivery lifecycle and implement mitigation strategies.</li>
<li>Define implementation and deployment strategies that align with client and business goals.</li>
</ul><h2 class="jobSectionHeader">Qualification and Education Requirements</h2>
<ul><li>Bachelor's or Master's degree in Computer Science or a related field.</li>
<li>Cloud certification in AWS, Azure, or GCP- highly desirable.</li>
<li>Architecture framework certification like TOGAF, Zachman, or equivalent &mdash; preferred.</li>
<li>Additional professional certifications in relevant technologies are an advantage.</li>
</ul><h2 class="jobSectionHeader">Minimum Experience / Skills Required</h2>
<ul><li>15+ years of overall experience in software development and solution architecture.</li>
<li>Minimum 5 years in a dedicated Solution Architect or Enterprise Architect role.</li>
<li>Fluency in Arabic and English.</li>
<li>Hands-on experience with at least one major cloud platform: AWS, Azure, or GCP.</li>
<li>Experience with architecture frameworks &mdash; TOGAF, Zachman, or equivalent.</li>
<li>Strong background in Networking and Systems related to software deployment and architecture design.</li>
<li>Familiarity with Agile and SAFe delivery methodologies at scale.</li>
<li>Proven ability to lead large, multi-disciplinary technical teams across complex projects.</li>
<li>Strong communication and stakeholder management skills able to articulate technical concepts to non-technical audiences.</li>
<li>Experience in government or enterprise systems integration is a strong advantage.</li>
<li>Based in Egypt with availability to travel to GCC countries for project assignments.</li>
</ul>
Ready to take on the challenge?

Click below to submit your application. Our recruitment team will review your profile and be in touch shortly.</div></div></div></div>

Digital Solutions Enterprise Architect - Cairo, Egypt

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

COmspark International

Position DevOps Engineer Duration 2 months Location Qatar (Onsite) Years of Experience 5+ Years Notice Period ImmediateResponsibilities<ul><li>Lead deployment and configuration of on-prem Linux-based platformsfor AI workloads.</li><li>Design and configure KVM virtualization</li><li>Architect and implement GPU-enabled environments for production LLM inference.</li><li>Deploy and operate containerized LLM serving stacksin production.</li><li>Design and validate GPU utilization, isolation, and health monitoring.</li><li>Integrate deployments with CI/CD pipelines and security controls.</li><li>Apply security hardening, RBAC, encryption, and audit-ready configurations.</li><li>Design HA and DR strategies and prepare systems for future scale-out.</li><li>Lead troubleshooting, performance tuning, and stabilization.</li><li>Produce architecture documentation, runbooks, and handover materials.</li><li>Primary Skills</li><li>5+ years of experience in DevOps, Platform Engineering, or Infrastructure Engineering roles.</li></ul><ul><li>Strong Linux system administration skills, including networking,storage, performance tuning,</li></ul>and security hardening.environments.equivalent).runtimes.Inference Server.vector databases (e.g., Qdrant), and observability tools.<ul><li>Hands-on experience deploying and operating LLMs in production on on-premises</li><li>Proven experience managing GPU infrastructure using NVIDIA GPUs (H100, A100, H200 or</li><li>Hands-on experience installing, configuring, and troubleshooting CUDA drivers and GPU</li><li>Experience with containerized workloads using Docker or OCI-compliant runtimes.</li><li>Hands-on experience with LLM serving frameworks such as vLLM, TensorRT-LLM, or Triton</li><li>Experience designing and supporting GPU utilization, isolation, and performance monitoring.</li><li>Strong hands-on experience with KVM virtualization in production.</li><li>Experience working with modern AI application stacks, including backend APIs, PostgreSQL,</li><li>Strong experience using Infrastructure as Code and automation tools, including Ansible.</li><li>Hands-on experience designing and operating CI/CD pipelines in enterprise environments.</li><li>Hands-on experience with Kubernetes on-premisessetup.</li></ul><ul><li>Strong understanding and practical implementation experience of DevSecOps practices,</li><li>including secure pipelines, SAST integration, secrets management, and least-privilege access.</li><li>Experience designing orsupporting high availability and disasterrecovery strategies, including</li></ul>backup, restore, and failover concepts.<ul><li>Strong experience working in on-prem, air-gapped, orregulated environments</li></ul>Work Location: In person

DevOps Engineer

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

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:
 
 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 privacy policy for additional information.
 
</div>

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

EPAM Systems

<div>We're looking for a Senior AI Engineer (Python) to join our team in Doha, Qatar, in an onsite working mode.
This role offers the opportunity to work at the forefront of AI-driven software engineering, building scalable, production-ready AI solutions and transforming development processes to an AI spec-driven model. You will design and implement architectures for high-performance AI systems, optimize operational efficiency, and contribute to building and hardening agentic workflows. You will collaborate with global engineering teams to enhance standards, security, and reliability while driving innovation across AI-enabled development workflows.
Responsibilities<ul><li>
Design and deploy token-efficient AI search and retrieval architectures optimized for relevance and latency
</li><li>Define, evolve and operationalize AI specifications and templates for feature, architecture, code, test and deployment automation
</li><li>Develop metrics and tools to measure AI-driven development efficiency, quality and accuracy
</li><li>Build and productionize end-to-end pipelines including embeddings, vector stores, retrieval frameworks, prompt engineering and LLM integrations
</li><li>Create and strengthen agentic systems to orchestrate multi-step agent behaviors for engineering workflows
</li><li>Implement operational reliability and observability frameworks including monitoring, CI/CD pipelines, version management and reproducible deployments
</li><li>Coach and mentor engineering and product teams, review designs and elevate AI engineering practices
</li><li>Establish security guardrails, input/output validation and safety mechanisms for robust AI solutions
</li></ul>Requirements<ul><li>
Bachelor&rsquo;s degree in Computer Science, Software Engineering or related field
</li><li>4+ years of experience building production-grade AI systems or 2+ years focusing on LLM/RAG solutions
</li><li>Proven experience with Retrieval-Augmented Generation (RAG) patterns, embeddings and vector databases
</li><li>Experience integrating with commercial and self-hosted LLM models
</li><li>Hands-on experience with AI agent frameworks such as LangChain or equivalent
</li><li>Strong backend engineering skills with Python as primary language and intermediate Java proficiency
</li><li>Experience with REST/gRPC APIs, containerized deployments and Kubernetes orchestration
</li><li>Familiarity with cloud services and infrastructure automation tools such as Ansible
</li><li>Strong knowledge of CI/CD processes applied to models, prompts and testing for AI-driven workflows
</li><li>Understanding of embeddings, semantic search and large-scale vector indexing
</li><li>Awareness of AI productivity tools such as GitHub Copilot, GitLab Duo or similar</li></ul>
We offer<ul><li>
Private healthcare and life insurance</li><li>
End of service gratuity</li><li>
Annual air travel tickets for expatriates</li><li>
Corporate Programs including Employee Referral Program with rewards</li><li>
Learning and development opportunities including in-house training and coaching, professional certifications, and courses</li></ul></div>

Senior AI Engineer (Python)

Explore 127+ Ai solutions architect in Lusail this June. Find roles across top companies and apply now to boost your career.