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ai architect

Starlink Qatar

<div>
 
 The
 
 AI Architect
 
 defines and governs the Cognitive AI architecture for enterprise platforms, enabling ministries, system integrators, and internal teams to consume AI capabilities as standardized services. The role designs cloud-agnostic patterns for model inferencing, fine-tuning, RAG/knowledge services, and agentic capabilities, ensuring multi-tenancy, security, observability, and cost controls are built in by design.
 
 
 Working with platform/cloud, data, security, and vendor teams, the AI Architect sets reference architectures, model governance standards, and performance targets, and provides assurance through design reviews, PoCs, and production readiness gates. The role bridges research-grade AI with production-grade platform engineering.
 
 
 Duties &amp; Responsibilities
 
 <ul>
 <li>
 Define Cognitive AI reference architecture: inference gateway, model serving backends, RAG/KB, fine-tune pipelines, and agent tooling.
 </li>
 <li>
 Establish model lifecycle governance: model/dataset cards, approvals, evaluation gates, canary/rollback strategy, and versioning.
 </li>
 <li>
 Define multi-tenant AI patterns: isolated workspaces, per-tenant endpoints/keys, quotas, dedicated GPU/TPU options, and data boundary enforcement.
 </li>
 <li>
 Specify inferencing service requirements: API compatibility, routing/fallback, batching/caching, safety filters, SLAs/SLOs.
 </li>
 <li>
 Define RAG architecture patterns: ingestion, chunking, embeddings, vector indexes, retrieval policies, and grounded responses with citations.
 </li>
 <li>
 Define fine-tuning approach (LoRA/PEFT), orchestration, artifacts management, provenance, and promotion pipelines.
 </li>
 <li>
 Ensure safety and compliance: guardrails, PII redaction, prompt governance, content filters, and audit trails; coordinate with cybersecurity/privacy teams.
 </li>
 <li>
 Define end-to-end observability: metrics/logs/traces/audits for training, inference, and pipelines; anomaly detection and alerting requirements.
 </li>
 <li>
 Provide technical assurance for vendor deliverables: design reviews, performance testing plans, acceptance criteria, and operational readiness.
 </li>
 <li>
 Support enablement: SDK guidance, sample implementations, documentation, and &ldquo;golden path&rdquo; onboarding for developers and integrators.
 </li>
 </ul>
 
 Skills &amp; Abilities
 
 <ul>
 <li>
 Strong understanding of modern AI architectures: LLMs, embeddings, RAG, fine-tuning, evaluation, and guardrails.
 </li>
 <li>
 Ability to translate AI requirements into scalable, secure, cloud-agnostic platform designs.
 </li>
 <li>
 Knowledge of model serving performance techniques: GPU batching, KV/prompt caching, autoscaling, latency optimization.
 </li>
 <li>
 Strong governance mindset: evaluation, safety, provenance, and auditability in regulated environments.
 </li>
 <li>
 Excellent communication skills to align research, engineering, security, and business stakeholders.
 </li>
 </ul>
 
 Education &amp; Background
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in
 
 Computer Science, Information Technology, Cybersecurity
 
 , or related field; Master&rsquo;s degree highly preferred.
 </li>
 <li>
 7+ years in AI/ML engineering or architecture, including production deployments of LLM/RAG systems.
 </li>
 <li>
 Experience with Kubernetes-based serving and MLOps practices (registry, CI/CD, reproducibility, monitoring).
 </li>
 <li>
 Experience with public cloud AI stacks and accelerator infrastructure (GPUs; TPUs advantageous).
 </li>
 <li>
 Experience defining AI governance/safety controls and operating models (approvals, evaluations, incident response for AI).
 </li>
 <li>
 Preferred: experience in government, telco, or other regulated domains and multi-vendor delivery environments.
 </li>
 </ul>
 
 Preferred Tools / Soft Skills
 
 
 
 Preferred Tools
 
 
 <ul>
 <li>
 Model serving &amp; orchestration: vLLM, KServe/Triton, NVIDIA NIM, Ray/Airflow/Prefect; MLflow (registry)
 </li>
 <li>
 RAG &amp; vector: PGVector/Weaviate/Elasticsearch, LangChain/LlamaIndex-style frameworks, document pipelines
 </li>
 <li>
 Observability &amp; governance: OpenTelemetry, Dynatrace/Datadog, evaluation harnesses, SBOM/attestation, policy-as-code
 </li>
 </ul>
 
 
 Soft Skills
 
 
 <ul>
 <li>
 Pragmatic decision-making balancing accuracy, latency, cost, and compliance
 </li>
 <li>
 Strong facilitation of architecture reviews and technical alignment workshops
 </li>
 <li>
 Ownership mindset with delivery focus across multiple vendors
 </li>
 <li>
 Ability to explain AI concepts clearly to non-AI stakeholders (risk, value, limitations)
 </li>
 <li>
 Continuous improvement mindset and curiosity for emerging AI approaches and standards
 </li>
 </ul>
</div>

AI Architect

Milaha

<div>
 
 
 JOB RESPONSIBILITY
 
 
 
 
 
 
 Strategic Leadership &amp; Vision
 
 
 &bull; Define and execute the organization&rsquo;s Data Science &amp; AI strategy in alignment with business goals.
 
 
 &bull; Identify and prioritize opportunities where AI and data driven solutions enhance efficiency, customer experience, product offerings, and revenue generation.
 
 
 &bull; Lead the design of a unified data and AI architecture, including the development of a scalable Data Lakehouse, semantic layers, feature stores, and streaming/batch data integration.
 
 
 &bull; Drive the Generative AI roadmap, selecting LLM providers, designing RAG architectures, and enabling enterprise wide AI capabilities.
 
 
 &bull; Oversee FinOps practices to optimize cloud and compute costs associated with AI, GPU workloads, and large scale data storage.
 
 
 AI &amp; Data Engineering Execution
 
 
 &bull; Oversee the end to end development, validation, deployment, and lifecycle management of machine learning and AI models.
 
 
 &bull; Implement CI/CD/CT pipelines to ensure automated, continuous, and reliable model updates.
 
 
 &bull; Build and maintain vector database infrastructure to support semantic search, contextual AI, and long term knowledge retrieval.
 
 
 &bull; Ensure data pipelines, platforms, and architectures are optimized for performance, scalability, and resilience.
 
 
 Governance, Risk, Compliance &amp; Ethics
 
 
 &bull; Implement data governance, security, and privacy standards, including RBAC/ABAC and protection of PII and sensitive datasets.
 
 
 &bull; Establish and monitor automated controls for model drift, fairness, explainability, and ethical use of AI.
 
 
 &bull; Ensure compliance with relevant regulations (e.g., GDPR, HIPAA) and internal policies.
 
 
 &bull; Maintain best practices for data quality, versioning, reproducibility, and auditability.
 
 
 Innovation &amp; Continuous Improvement
 
 
 &bull; Lead experimentation with new algorithms, methods, and technologies to maintain a cutting edge AI ecosystem.
 
 
 &bull; Promote a culture of continuous improvement, refining processes, tools, and models to enhance performance and business impact.
 
 
 Team Leadership &amp; Capability Building
 
 
 &bull; Mentor and develop a high performing team of data scientists, AI engineers, and data professionals.
 
 
 &bull; Oversee training and upskilling initiatives to ensure the team remains current with emerging technologies and methodologies.
 
 
 Stakeholder Management &amp; Communication
 
 
 &bull; Serve as a strategic advisor between business and technical teams, translating business challenges into AI solutions and articulating AI outcomes clearly to non-technical stakeholders.
 
 
 &bull; Provide regular updates to leadership on progress, performance metrics, model outcomes, and business results.
 
 
 &bull; Drive cross department collaboration to ensure successful adoption and integration of AI solutions.
 
 
 Technology, Tools &amp; Vendor Management
 
 
 &bull; Lead the selection, integration, and management of AI platforms, data tools, and vendor partnerships.
 
 
 &bull; Manage budgets for data science and AI initiatives, ensuring optimal allocation of resources.
 
 
 &bull; Make decisions related to hiring, vendor selection, and solutions procurement that support strategic AI objectives.
 
 
 
 
 
 
 
 
 
 REQUIREMENT
 
 
 
 
 
 
 
 Education &amp; Professional Qualification:
 
 
 
 &bull; Bachelor&rsquo;s Degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, Engineering, Information Technology
 
 
 &bull; Master&rsquo;s Degree (preferred):
 
 
 &bull; Data Science, Artificial Intelligence or Machine Learning, Computer Science, Business Analytics, Statistics or Applied Mathematics, Operations Research
 
 
 
 Professional Experience:
 
 
 
 &bull; 6-8 years of hands-on experience in data science, machine learning, or AI roles, including developing and deploying AI models and algorithms.
 
 
 &bull; Experience with machine learning techniques, such as:
 
 
 - Supervised/Unsupervised Learning
 
 
 - Deep Learning (e.g., Neural Networks, CNNs, RNNs)
 
 
 - Natural Language Processing (NLP)
 
 
 - Computer Vision
 
 
 &bull; Computer Skills:
 
 
 Data science, machine learning, AI, including developing and deploying AI models and algorithms
 
 
 &bull; Language Skills:
 
 
 - Business fluent English. Arabic Language is an advantage.
 
</div>

Specialist - AI & Data Architect

Tarjama&

<div>Our Client's 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:
<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>As a Full Stack 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.
You will:
<ul><li>Partner with public sector clients to scope, collect feedback and implement solutions for complex problems, including spending up to two weeks per month in client offices for feedback and delivery.
</li><li>Architect production-grade applications that integrate AI models with full-stack frameworks, managing everything from interactive UIs to backend APIs and systems.
</li><li>Deploy and manage infrastructure within cloud environments, ensuring the highest levels of system integrity, security, scalability, and long-term reliability.
</li><li>Contribute to core platform features designed to be reused across diverse international client use cases.
</li><li>Partner with design, product, and data teams to build robust applications aligned with the broader technical architecture.</li></ul>
Ideally you&rsquo;d have:
<ul><li>Bachelor&rsquo;s degree in Computer Science or a related quantitative field
</li><li>5+ years of post-graduation, full-stack engineering experience with demonstrated proficiency in React (required), TypeScript, Next.js, Python, Node.js, PostgreSQL or MongoDB plus hands-on experience with Docker, Kubernetes, and Azure/AWS/GCP.</li><li>
Proven ability to architect scalable, production-grade applications with a strong handle on cloud environments and infrastructure health.
</li><li>Experience working directly within customer infrastructure to deploy, maintain, and troubleshoot complex, end-to-end solutions.
</li><li>A self-starting approach with the technical maturity to navigate ambiguous requirements and deliver reliable software.</li><li>
Driven async communication methodologies to reduce communication frictions
</li></ul>Nice to haves:
<ul><li>Proficient in Arabic
</li><li>Past experience working 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>

Full Stack Software Engineer (Forward Deployed)- 6-8 Months Contract

PROZ TECHNOLOGIES

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: ● Creating custom AI applications that will impact millions of citizens● Generating high-quality training data for custom LLMs● Upskilling and advisory services to spread the impact of AIObjective:As a Full Stack 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.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.You will:● Partner with public sector clients to scope, collect feedback and implement solutions for complex problems, including spending up to two weeks per month in client offices for feedback and delivery.● Architect production-grade applications that integrate AI models with full-stack frameworks, managing everything from interactive UIs to backend APIs and systems.● Deploy and manage infrastructure within cloud environments, ensuring the highest levels of system integrity, security, scalability, and long-term reliability.● Contribute to core platform features designed to be reused across diverse international client use cases.● Partner with design, product, and data teams to build robust applications aligned with the broader technical architecture.Ideally you&rsquo;d have: ● Bachelor&rsquo;s degree in Computer Science or a related quantitative field● 5+ years of post-graduation, full-stack engineering experience with demonstrated proficiency in React (required), TypeScript, Next.js, Python, Node.js, PostgreSQL or MongoDB plus hands-on experience with Docker, Kubernetes, and Azure/AWS/GCP.● Proven ability to architect scalable, production-grade applications with a strong handle on cloud environments and infrastructure health.● Experience working directly within customer infrastructure to deploy, maintain, and troubleshoot complex, end-to-end solutions.● A self-starting approach with the technical maturity to navigate ambiguous requirements and deliver reliable software.● Driven async communication methodologies to reduce communication frictionsNice to haves: ● Proficient in Arabic● Past experience working in a forward deployed engineer / dedicated customer engineer role● Experience working cross functionally with operations● Experience building solutions with LLMs and a deep understanding of the overall Gen AI landscapeJob Type: Contract Contract length: 6 monthsPay: Up to QAR15,000.00 per month

Full Stack Software Engineer- (Forward Deployed)- Arabic speaking

<div>Our client a 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:
<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>
As a Full Stack 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.
You will:
<ul><li>Serve as the lead technical strategist for public sector engagements, converting ambiguous mission requirements into robust architectural roadmaps and guiding onsite implementation</li><li>
Architect the fundamental frameworks for production-grade AI applications, setting the gold standard for how interactive UIs, backend systems, and AI models are integrated at scale to deliver reliable outcomes.
</li><li>Guide the evolution of cloud infrastructure, ensuring security, global scalability, and long-term system integrity across all environments.
</li><li>Direct the development of core platforms and shared services, ensuring they solve cross-cutting needs for diverse global client use cases.
</li><li>Partner with cross-functional leadership to steer the technical roadmap, mentoring senior and junior staff and ensuring all products align with a cohesive, future-proof technical architecture.
</li><li>Bridge the gap between the field and the core platform by turning real-world client lessons into the reusable patterns that power the entire engineering team.
</li></ul>Ideally you&rsquo;d have:<ul><li>
Masters or Phd in Computer Science or equivalent deep industry experience in architecting complex, distributed systems.
</li><li>10+ years of full-stack expertise across Python, Node.js, and React, with a proven track record of designing high-scale architectures on Kubernetes and global cloud infrastructures (AWS/Azure/GCP).</li><li>
Expert ability to design and oversee production-grade ecosystems, ensuring world-class standards for system integrity, security, and long-term scalability.
</li><li>Extensive experience deploying and troubleshooting sophisticated end-to-end solutions directly within complex, high-security client environments.
</li><li>A self-driven leader capable of resolving extreme ambiguity, mentoring senior staff, and setting the technical vision for the organization.
</li><li>A driver of asynchronous workflows and documentation-first cultures to streamline global engineering velocity and reduce friction.
</li><li>Proficient in Arabic</li></ul>
Nice to haves:
<ul><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>Proven track record of building LLM-driven solutions with the strategic foresight to anticipate landscape shifts and architect future-proof systems.</li></ul></div>

Senior Full Stack Software Engineer (Forward Deployed), 6-8 Months Contract

Job Title: Full Stack Software Engineer (Forward Deployed), L6+, International Public SectorLocation: Doha, Qatar Job Type: 6 months contractAbout the RoleAs a Full Stack 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. 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.s.Key Responsibilities● Serve as the lead technical strategist for public sector engagements, converting ambiguous mission requirements into robust architectural roadmaps and guiding onsite implementation● Architect the fundamental frameworks for production-grade AI applications, setting the gold standard for how interactive UIs, backend systems, and AI models are integrated at scale to deliver reliable outcomes.● Guide the evolution of cloud infrastructure, ensuring security, global scalability, and long-term system integrity across all environments.● Direct the development of core platforms and shared services, ensuring they solve cross-cutting needs for diverse global client use cases.● Partner with cross-functional leadership to steer the technical roadmap, mentoring senior and junior staff and ensuring all products align with a cohesive, future-proof technical architecture.● Bridge the gap between the field and the core platform by turning real-world client lessons into the reusable patterns that power the entire engineering team.Requirment:● Masters or Phd in Computer Science or equivalent deep industry experience in architecting complex, distributed systems.● 10+ years of full-stack expertise across Python, Node.js, and React, with a proven track record of designing high-scale architectures on Kubernetes and global cloud infrastructures (AWS/Azure/GCP).● Expert ability to design and oversee production-grade ecosystems, ensuring world-class standards for system integrity, security, and long-term scalability.● Extensive experience deploying and troubleshooting sophisticated end-to-end solutions directly within complex, high-security client environments.● A self-driven leader capable of resolving extreme ambiguity, mentoring senior staff, and setting the technical vision for the organization.● A driver of asynchronous workflows and documentation-first cultures to streamline global engineering velocity and reduce friction.● Proficient in ArabicNice to haves: ● Past experience working at a startup as a CTO or founding engineer or in a forward deployed engineer / dedicated customer engineer role● Experience working cross functionally with operations● Proven track record of building LLM-driven solutions with the strategic foresight to anticipate landscape shifts and architect future-proof systemsJob Type: Contract Contract length: 6 monthsPay: Up to QAR18,000.00 per month

Full Stack Software Engineer L6- (Forward Deployed)-Arabic speaking

<div>
 📌 𝗗𝗲𝘀𝗰𝗿𝗶𝗽𝘁𝗶𝗼𝗻:
 
 
 We are seeking a highly skilled Database Administrator to join our dynamic IT team. This role is responsible for the performance, integrity, and security of our diverse database landscape, including MS SQL, PostgreSQL, and Oracle systems. The ideal candidate will architect, design, and manage our data warehouse, developing robust ETL/ELT pipelines to support business intelligence and analytics. You will engage with business and IT stakeholders to evaluate and implement strategic architectural recommendations, particularly within our supply chain ecosystem. This position requires a proactive individual capable of working independently to perform database tuning, implement security policies, manage backup and recovery procedures, and provide critical 24x7 support. Your expertise in scripting, cloud platforms, and data modeling will be essential for supporting our growing AI and machine learning initiatives.
 
 
 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
 
 
 🎯 𝗥𝗲𝗾𝘂𝗶𝗿𝗲𝗺𝗲𝗻𝘁𝘀:
 
 
 &rtrif; Expert knowledge in administering MS SQL, PostgreSQL, and Oracle PL/SQL databases (relational &amp; NoSQL).
 
 
 &rtrif; Proven experience in designing, building, and managing data warehouses.
 
 
 &rtrif; Hands-on experience building ETL/ELT pipelines for data ingestion and transformation.
 
 
 &rtrif; Proficiency in scripting with Python (Pandas, PySpark, Airflow) and Windows/UNIX shell scripting.
 
 
 &rtrif; Strong skills in database design, implementation, performance tuning, and security.
 
 
 &rtrif; Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP).
 
 
 &rtrif; Expertise in advanced data modeling techniques.
 
 
 &rtrif; Familiarity with big data technologies and modern architectures like data lakes and lakehouses.
 
 
 ✨ 𝗗𝗲𝘀𝗶𝗿𝗮𝗯𝗹𝗲𝘀:
 
 
 &rtrif; Familiarity with end-to-end supply chain and associated eco-systems.
 
 
 &rtrif; Knowledge of Java for enterprise applications.
 
 
 &rtrif; Experience preparing datasets and building models for machine learning processes.
 
 
 &rtrif; Ability to create reports or dashboards to provide actionable business insights.
 
 
 &rtrif; Understanding of APIs (REST, GraphQL) for data integration.
 
 
 Role Highlights
 
 
 📍 Location
 
 
 Doha, Qatar
 
 
 💼 Work Location Type
 
 
 Onsite
 
 
 📄 Employment Type
 
 
 Full-time
 
 
 📈 Job Level
 
 
 Mid Level
 
 
 ⌛ Experience
 
 
 5 years
 
 
 🏢 Department
 
 
 Information Technology
 
 
 🏭 Industry
 
 
 Government
 
 
 🔹 Sub-Industry
 
 
 Education Administration Programs
 
 
 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
 
 
 🚀 𝗧𝗮𝗸𝗲 𝘁𝗵𝗲 𝗟𝗲𝗮𝗽 𝗧𝗼𝘄𝗮𝗿𝗱 𝗮𝗻 𝗘𝘅𝗰𝗶𝘁𝗶𝗻𝗴 𝗙𝘂𝘁𝘂𝗿𝗲 &ndash; 𝗔𝗽𝗽𝗹𝘆 𝗡𝗼𝘄! 🚀
</div>

Database Administrator

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