Senior AI Architect for Enterprise Solutions

Zohorecruit

Qatar

On-site

QAR 180,000 - 240,000

Full time

12 days ago

Application generator

Don’t send a generic resume — generate a resume and cover letter tailored to this exact role.

Get past ATS filters

Job summary

Black & Grey HR is recruiting for an established technology solutions and services provider in Doha, Qatar. An experienced AI Architect will design scalable, enterprise-grade AI solutions across sports, education, medical applications, and sports performance.

The role focuses on applied AI, solution architecture, governance, and practical AI adoption to deliver measurable business value. You will work with Azure AI Foundry, Google Agent Builder, and various ERP/CRM systems to drive architecture

Qualifications

8+ years in Solution Architecture with a minimum of 4 years delivering applied AI/ML projects.
Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, Engineering, or a related discipline.
Strong experience delivering AI projects in enterprise environments.
Strong understanding of AI concepts, tools, frameworks, models, and applied AI technologies.
Strong knowledge of solution architecture techniques including architecture evaluation, scenario analysis, component modelling, and impact analysis.
Strong understanding of SDLC, requirements analysis, high-level architecture, and detailed technical design.
Proficiency in Azure AI Foundry for enterprise AI deployment and lifecycle management.
Hands-on expertise with Google Agent Builder, Google SDK for mobile agents, and multi agent systems.
Strong knowledge of Advanced RAG for enterprise-scale knowledge management.
Strong understanding of database and data architecture including SQL, NoSQL, vector databases, and knowledge graphs.
Ability to design secure, scalable, reliable, and performance-optimized applied AI systems.
Strong communication and stakeholder management skills.

Responsibilities

Design and implement scalable AI architectures using cloud-native platforms such as Azure AI Foundry and Google Agent Space.
Leverage pre-built AI services including NLP, computer vision, and predictive analytics to accelerate solution delivery.
Design AI solutions aligned with organizational priorities across sports, healthcare, education, and sports performance.
Develop end-to-end AI architectures covering solution design, integration, deployment, scalability, and lifecycle management.
Evaluate architecture options using scenarios, component modelling, impact analysis, and technical trade-offs.
Integrate cloud AI services with ERP, CRM, medical, sports performance, and other enterprise platforms.
Enable connectivity between structured data sources including databases and KPIs and unstructured data such as documents, video, and medical records.
Design APIs, middleware, and automation mechanisms to streamline enterprise data flows and pipelines.
Develop data and AI architectures supporting SQL, NoSQL, vector databases, and knowledge graphs.
Ensure AI solutions integrate effectively with existing enterprise technology and data environments.
Deploy and customize existing AI models for real-world business and operational use cases.
Develop and configure conversational AI, knowledge agents, analytics solutions, and AI enabled applications.
Apply machine learning, natural language processing, computer vision, predictive analytics, and other AI capabilities to practical use cases.
Implement Advanced RAG architectures for enterprise-scale knowledge management.
Design and support multi-agent systems and AI agent solutions using relevant cloud platforms and SDKs.
Evaluate updates and new capabilities from cloud AI providers and identify opportunities for practical adoption.
Support the integration and continuous improvement of AI solutions across business functions.