AI Enterprise Architect

First Abu Dhabi Bank (FAB); Abu Dhabi; Presencial; AED 350.000 - 600.000; Jornada completa

Descripción de la vacante

First Abu Dhabi Bank (FAB) seeks an experienced AI Enterprise Architect to design, govern, and evolve the AI Innovation Hub architecture, ensuring alignment with business strategy and technology standards. The role leads architecture artifacts, oversees AI/ML lifecycle, and guides teams across security, governance, and regulatory compliance in large-scale, multi-cloud environments in the UAE.

The position emphasizes collaboration with business, data, and technology groups to deliver scalable,

Formación

• 5+ years of experience in enterprise architecture with a focus on AI, data, or analytics in large-scale environments.
• Proven track record designing and implementing AI/ML platforms 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 with enterprise systems.
• Strong knowledge of data privacy, security, and regulatory compliance in AI contexts.
• Ability to translate business strategy into AI architecture roadmaps and actionable blueprints.
• Excellent communication and stakeholder management skills.
• Educational qualifications: Bachelor's or Master's degree in related fields; relevant certifications preferred.

Responsabilidades

• Produce 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 and standards.
• Lead evaluation, selection, and adoption of AI technologies, platforms, and tools across initiatives.
• Develop and enforce architectural standards, governance frameworks for AI initiatives.
• Collaborate with business, data, and technology teams to design scalable, secure AI solutions.
• Oversee integration of AI/ML models into production systems for reliability and maintainability.
• Guide architects, engineers, and scientists on application strategy, model lifecycle management, and MLOps practices.

Conocimientos

Enterprise architecture

AI/ML lifecycle knowledge

Cloud-native architectures

Regulatory compliance awareness

Stakeholder communication

Educación

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field

TOGAF, AWS/Azure Architect, AI/ML certifications (preferred)

Herramientas

Cloud platforms (AWS, Azure)

Descripción del empleo

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