AI Enterprise Architect

Tanqeeb; Abu Dhabi; On-site; AED 350,000 - 700,000; Full time

Job summary

FAB’s AI Hub seeks an AI Enterprise Architect to design and govern the AI architecture, ensuring alignment with business goals, standards, and regulatory requirements. You will lead the evaluation and adoption of AI technologies and oversee model deployment within production systems.

Ideal candidates have 5+ years in enterprise architecture with a strong AI focus, expertise in cloud-native architectures, and proven governance experience across large-scale initiatives.

Qualifications

• Bachelor's or master's degree in a related field
• Strong experience in enterprise AI architectures and governance
• Knowledge of data privacy and regulatory considerations for AI

Responsibilities

• Produce Architecture Artifacts such as ADRs and SADs.
• Define and maintain the enterprise AI architecture aligning with goals and standards.
• Lead evaluation and adoption of AI technologies, platforms, and tools.
• Develop architectural standards, governance, and best practices for AI initiatives.
• Collaborate with business, data, and tech teams to design scalable, secure AI solutions.
• Oversee integration of AI/ML models into production, ensuring reliability and performance.

Skills

Enterprise architecture

AI/ML architectures

Cloud-native architectures

Regulatory compliance

Stakeholder management

Communication

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science

Tools

TOGAF

AWS/Azure Architect certifications

AI/ML certifications

Job description

Job Purpose

This role sits with FAB’s AI Hub Innovation team and AI Enterprise Architect is responsible for designing, governing, and evolving the AI Innovation Hub AI architecture of the solutions, ensuring alignment with business strategy, goals, technology standards, and regulatory requirements.

Key Responsibilities

• Responsible for producing the Architecture Artifacts such as Architecture Decision Records (ADR) and Solution Architecture Design (SAD).
• Define and maintain the enterprise AI architecture, ensuring alignment with business goals, technology standards, and regulatory requirements
• Lead the evaluation, selection, and adoption of AI technologies, platforms, and tools across the initiatives.
• Develop and enforce architectural standards, best practices, and governance frameworks for AI initiatives
• Collaborate with business, data, and technology teams to design end-to-end AI solutions that are scalable, secure, and cost-effective
• Oversee integration of AI/ML models into production systems, ensuring reliability, performance, and maintainability
• Guide architects, engineers, and scientists on application strategy, model lifecycle management, and MLOps practices

Requirements / Qualifications

• 5+ years of experience in enterprise architecture, with a strong focus on AI, data, or advanced analytics in large-scale environments
• Proven track record in designing and implementing AI/ML platforms, frameworks, and reference architectures at enterprise scale
• Deep understanding of AI/ML lifecycle, including data engineering, model development, deployment, monitoring, and governance
• Expertise in cloud-native architectures, hybrid/multi-cloud strategies, and integration of AI solutions with existing enterprise systems
• Strong knowledge of data privacy, security, and regulatory compliance (e.g., GDPR, local data laws) as they relate to AI
• Ability to translate business strategy into AI architecture roadmaps and actionable blueprints
• Excellent communication and stakeholder management skills, with the ability to influence both technical and non-technical audiences
• Educational qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field; relevant certifications (e.g., TOGAF, AWS/Azure Architect, AI/ML certifications) are preferred

Preferred / Beneficial

• Experience in banking or other highly regulated industries preferred