AI Enterprise Architect

About This Role

• 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

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 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 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