Solutions Architect – AI Enablement
Job Ad expires on May 22nd, 2026
At Co-operative Bank of Kenya, we are transforming banking through innovation, intelligent technologies, and customer-focused digital solutions. As one of Kenya’s leading financial institutions, we continue to invest in modern platforms, advanced analytics, and AI-enabled capabilities that drive operational excellence, smarter decision-making, and enhanced customer experiences.
To support our growing AI and digital transformation agenda, we are looking for an experienced and forward-thinking professional to join our Digital Products & Innovation Factory team as a Solutions Architect – AI Enablement.
This is an exciting opportunity to shape and govern enterprise-wide AI solution architectures that enable scalable, secure, resilient, and business-aligned intelligent solutions across the Bank.
Reporting to the Head – Digital Products and Innovation Factory, the role holder will define and govern end-to-end solution architectures supporting the Bank’s AI, advanced analytics, intelligent automation, and decisioning agenda. They will ensure AI-enabled solutions are scalable, secure, resilient, auditable, well-integrated, and aligned with enterprise architecture standards. Working closely with product, business, engineering, data, security, risk, compliance, and architecture teams, the successful candidate will drive priority AI use cases from concept to controlled implementation and value realization.
The Role
Specifically, the successful jobholder will be required to:
- Define and govern scalable, secure, and resilient AI-enabled solution architectures, integrations, and enterprise technology patterns aligned to the Bank’s digital transformation agenda.
- Design end-to-end architecture solutions covering applications, APIs, automation, AI orchestration, security, operational readiness, and enterprise platform integration.
- Translate business requirements into practical, reusable, and implementation-ready architecture solutions that deliver measurable business value.
- Ensure architecture decisions comply with governance, security, privacy, resilience, audit, and regulatory requirements while embedding appropriate AI risk controls and safeguards.
- Collaborate with cross-functional teams and delivery partners to support AI solution implementation, architecture reviews, technical quality assurance, and enterprise technology best practices.
Skills, Competencies and Experience
- The successful candidate will be required to have the following skills and competencies:
- A Bachelor’s degree in Computer Science, Software Engineering, Information Systems, Data Science, AI/ML, Engineering, or a related field.
- Professional certification in Solution Architecture, Enterprise Architecture, Cloud Architecture, API Architecture, Cybersecurity, or AI Architecture will be an added advantage.
- Exposure or training in AI, machine learning, analytics, cloud platforms, DevSecOps, or responsible AI will be an added advantage.
- A minimum of 5 years’ relevant experience in Solution Architecture, Enterprise Integration, Software Engineering, Digital Delivery, or Intelligent Systems Delivery.
- A strong understanding of solution architecture, enterprise integration, APIs, microservices, middleware, event-driven architecture, and enterprise platforms.
- Experience designing secure, scalable, resilient, and supportable solutions within complex or regulated environments.
- A good understanding of AI and analytics solution patterns including orchestration, automation services, retrieval-augmented generation, and intelligent decisioning.
- A strong understanding of non-functional requirements including performance, availability, resilience, observability, maintainability, and security.
- Strong stakeholder management, documentation, presentation, and communication skills with the ability to simplify complex architecture concepts for diverse audiences.