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.