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AI Enterprise Architect
Job Description & How to Apply Below
- 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
- 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
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