AI Enterprise Architect

AI Enterprise Architect

First Abu Dhabi Bank (FAB) is seeking an experienced AI Enterprise Architect to lead the definition and maintenance of our enterprise AI architecture. This role is crucial in ensuring our AI initiatives align with business goals, technology standards, and regulatory requirements. You will be responsible for producing key architecture artifacts such as Architecture Decision Records (ADR) and Solution Architecture Designs (SAD).

Key Responsibilities

• 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 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.

Qualifications & Experience

• 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 the 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.
• Experience in banking or other highly regulated industries is preferred.
• 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.

Key skills/competency

• AI Enterprise Architecture
• Solution Architecture Design
• AI/ML Platforms
• Cloud-Native Architectures
• Data Privacy and Security
• Regulatory Compliance
• MLOps
• Stakeholder Management
• AI Strategy
• Enterprise Scale AI