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