AI & Data Architect

About the role

Co-operative Bank is hiring a full-time, on-site AI & Data Architect in Nairobi. The role covers designing AI and data architecture, developing enterprise data strategies, overseeing AI solution integration, ensuring data governance and security, and aligning technology systems with business objectives. The deadline to apply is 09/11/2026.

Key responsibilities

• Define and maintain the Bank's AI and data architecture frameworks, standards, principles and strategic roadmaps aligned with enterprise architecture.
• Establish data architecture standards for data modelling, integration, quality, metadata, lineage and master data management.
• Translate business priorities into end-to-end AI and data solution architectures covering data, models, applications, integration, security, monitoring and support.
• Develop reusable architecture patterns for machine learning, generative AI and agentic AI, with governance, safeguards, monitoring and human oversight.
• Evaluate AI technologies, platforms, models and vendors, recommending fit-for-purpose solutions based on business value, cost, security, scalability, resilience and interoperability.
• Define standards for AI model deployment, monitoring and lifecycle management, including MLOps and LLMOps, with technology, data, security and infrastructure teams.
• Lead architecture reviews, document design decisions and risks, and ensure compliance with architecture governance frameworks.
• Collaborate with cross-functional teams to resolve design dependencies and meet business, operational, security, privacy, performance and regulatory requirements.
• Maintain architecture documentation, capability maps, technology standards and transition roadmaps, and guide AI infrastructure capacity, performance and cost optimisation.

Required profile

• Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science or a related field; a relevant master's degree is an added advantage.
• At least 8 years of experience in data, software or solution architecture, including at least 3 years designing AI, machine learning or advanced analytics solutions.
• Demonstrated experience delivering enterprise-scale data platforms and production machine learning solutions, integrated into operational applications; data lakes, lakehouses or data warehouses are mentioned as possible experience.
• Experience in financial services, banking, fintech, telecommunications or another highly regulated industry.

Required skills

• Professional certification in enterprise, cloud, data or AI architecture is an added advantage.
• Cloud and hybrid architectures, including containerised deployment and API-led and event-driven integration.
• Ability to assess technology choices and implementation trade-offs.

To apply, candidates use the application link provided by the recruiter, Corporate Staffing.