Job particulars
- Job title
- AI & Data Architect
- Hiring organisation
- s Expand Recruitment Services
- Location
- Nairobi, Kenya
- Employment type
- Full-time
- Work arrangement
- Hybrid
- Industry
- IT
- Level
- Management
- Posted
- 27 Oct 2026
- Closing date
- 9 Nov 2026
Key responsibilities
- Specifically, the successful jobholder will be required to:.
- Define and maintain the Bank’s AI and data architecture frameworks, standards, principles and strategic roadmaps, ensuring alignment with enterprise architecture.
- Establish data architecture standards for data modelling, integration, quality, metadata, lineage and master data management to support trusted, governed data products for AI and analytics.
- 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, incorporating appropriate 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, in collaboration with technology, data, security and infrastructure teams.
- Lead architecture reviews, document design decisions and risks, and ensure compliance with the Bank’s architecture governance frameworks and technical standards.
- Collaborate with cross-functional teams to resolve design dependencies and ensure solutions meet business, operational, security, privacy, performance and regulatory requirements.
- Maintain AI and data architecture documentation, capability maps, technology standards and transition roadmaps, while providing technical leadership to delivery teams.
- Guide AI infrastructure capacity, performance and cost optimisation, ensuring scalable, efficient and sustainable AI adoption across the Bank.
Candidate requirements
- The successful candidate will be required to have the following skills and competencies:.
- A bachelor’s degree in Computer Science, Information Technology, Engineering, Data Science or a related field.
- A relevant master’s degree is an added advantage.
- Professional certification in enterprise architecture, cloud architecture, data architecture or AI architecture is an added advantage.
- At least eight (8) years of experience in data, software or solution architecture, including at least three (3) years designing AI, machine learning or advanced analytics solutions.
- Demonstrated experience designing and delivering enterprise-scale data platforms and production machine learning solutions, including integration of analytical or AI services into operational applications. Relevant data-platform experience may include data lakes, lakehouses or data warehouses.
- Practical experience designing cloud and hybrid architectures, including containerised deployment and API-led and event-driven integration, with the ability to assess technology choices and implementation trade-offs.
- Experience in financial services, banking, fintech, telecommunications or another highly regulated industry.
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Hiring organisation
s Expand Recruitment Services