AI Application Engineer
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Co-operative Bank of Kenya is seeking an AI Application Engineer to design, develop and maintain secure AI-enabled banking applications. The role covers generative AI, RAG, AI agents, APIs, responsible-AI controls and production support, with applications due by 9 November 2026.
- Build RAG, conversational assistants, AI agents and intelligent document-processing solutions.
- Develop APIs, backend services, interfaces and workflow integrations for AI products.
- Implement governance, prompt engineering, guardrails and human-in-the-loop controls.
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Co-operative Bank of Kenya is seeking an AI Application Engineer to design, develop and maintain secure AI-enabled banking applications. The role covers generative AI, RAG, AI agents, APIs, responsible-AI controls and production support, with applications due by 9 November 2026.
- Build RAG, conversational assistants, AI agents and intelligent document-processing solutions.
- Develop APIs, backend services, interfaces and workflow integrations for AI products.
- Implement governance, prompt engineering, guardrails and human-in-the-loop controls.
- Monitor application performance, reliability, cost and business outcomes.
- Applications are due by 9 November 2026.
AI job guide
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AI salary guide
Not enough public dataNot enough public salary data is available for this exact role. Before applying, prepare to ask about gross pay, benefits, contract length, probation period, transport and any allowances.
Can you qualify for this role?
- UnclearRelated work experienceThe text mentions experience, but the exact level should be confirmed at source.
- RequiredEducation or certification mentioned in the postThe captured text mentions education, a diploma, certificate, or licence.
- PreferredPractical evidence in security, internship, entregadorThe tags and summary point to skills connected with this role.
- RequiredAvailability to work in Co-operative Bank of Kenya AI Application Engineer Jobs - Apply by 9th November 2026The vacancy is associated with this location.
- UnclearComfort with the Other contract termsConfirm hours, duration, probation and benefits at the original source.
Documents to prepare
- Likely requiredUpdated CV
- Role specificCover letter or short employer message
- OptionalProfessional references
- Role specificAcademic or professional certificates
- VerifyID or passport only after verifying the employer
Application tips for this job
- Place your strongest AI Application Engineer evidence in the first half of your CV.
- In your cover letter or employer message, connect your experience to Co-operative Bank of Kenya and the role in Co-operative Bank of Kenya AI Application Engineer Jobs - Apply by 9th November 2026.
- Add concrete examples related to security, internship, entregador, ideally with measurable outcomes or clear responsibilities.
- Follow the instructions from Advance Africa Kenya Jobs; avoid sending documents to unofficial contacts or copied links.
- Confirm the deadline, interview location and employer contact before sharing personal documents.
- Plan to submit before the listed deadline: 2026-11-09.
Source and safety check
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- Deadline is available: 2026-11-09
- No major risk signal was detected in the captured text.
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Interview preparation
- What experience makes you a strong fit for this AI Application Engineer role in security, internship?
- How have you handled responsibilities similar to those in this job post?
- Are you available to work in Co-operative Bank of Kenya AI Application Engineer Jobs - Apply by 9th November 2026 under the listed contract or schedule?
- Prepare examples with clear responsibilities, tools used and measurable outcomes.
- Review the source and research Co-operative Bank of Kenya before the interview.
Ask what the first priorities will be in the role and how success will be measured.
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Original source description
Co-operative Bank of Kenya AI Application Engineer Jobs
Co-operative Bank of Kenya AI Application Engineer Jobs
Job Summary
Design, develop and maintain AI-enabled applications, services and intelligent automation solutions that support customer-facing and internal banking operations.
Integrate machine learning, generative AI and intelligent workflow technologies into secure, scalable and production-ready business applications while ensuring compliance with responsible AI standards and banking regulations.
Key Responsibilities
- Design, develop, test and maintain AI-powered application features and services.
- Build solutions incorporating Retrieval-Augmented Generation (RAG), conversational assistants, AI agents, intelligent document processing, recommendations and workflow automation.
- Translate business, user and product requirements into maintainable technical solutions aligned with enterprise architecture standards.
- Integrate machine learning models and approved AI services into production business applications.
- Develop application APIs, backend services, user interfaces and workflow integrations required for AI solutions.
- Implement application-level AI governance controls and responsible AI safeguards.
- Apply prompt engineering techniques to improve AI system effectiveness and user experience.
- Implement guardrails, human-in-the-loop controls, fallback mechanisms, explainability features and audit trails where required.
- Evaluate AI outputs for accuracy, safety, reliability and consistency.
- Write clean, reusable, scalable and well-tested application code.
- Participate in peer reviews and address defects, vulnerabilities, performance issues and technical debt.
- Implement monitoring solutions for application availability, performance, usage, cost and business outcomes.
- Analyze operational metrics and address reliability, latency and optimization concerns.
- Collaborate with Product Owners, Data Scientists, Architects, Data Engineers, Integration Engineers, Security Teams and QA teams.
- Support end-to-end delivery of AI-enabled products from discovery and development through deployment and business adoption.
- Maintain technical documentation, deployment artefacts and support procedures.
- Investigate and resolve production issues affecting AI application components.
- Develop reusable AI libraries, engineering frameworks and application patterns for enterprise-wide adoption.
Qualifications
- Bachelor’s Degree in Computer Science, Software Engineering, Information Technology or a related field.
- Professional certification in Software Engineering, Cloud Development, DevSecOps, AI/ML Engineering or Generative AI is an added advantage.
Experience
Minimum five (5) years of experience in Software Engineering or Application Development.
Demonstrated experience delivering production-grade software systems and integrations.
Hands-on experience building AI-powered, machine learning or generative AI applications.
Experience integrating AI/ML services into operational business systems.
Experience developing APIs, microservices and enterprise application integrations.
Experience in banking, fintech, financial services or other regulated digital environments is an added advantage.
Technical Skills
Generative AI and Large Language Model (LLM) Applications.
Retrieval-Augmented Generation (RAG) Architectures.
Conversational AI and Virtual Assistants.
AI Agents and Agentic Workflows.
Prompt Engineering and AI Evaluation.
Machine Learning Model Integration.
API Development and Integration.
Backend Application Development.
Modern Application Frameworks.
Intelligent Document Processing.
Application Monitoring and Observability.
Automated Testing and Quality Assurance.
DevSecOps and Secure Software Development.
Production Deployment and Release Management.
Cloud-Native Application Development.
Key Competencies
AI Application Engineering.
Software Design and Development.
Responsible AI Governance and Controls.
Secure Application Development.
Problem-Solving and Root Cause Analysis.
Analytical and Critical Thinking.
Stakeholder Collaboration and Communication.
Innovation and Continuous Improvement.
Technical Documentation and Knowledge Sharing.
Adaptability in Emerging Technology Environments.
Quality Focus and Attention to Detail.
Customer-Centric Solution Development.
Preferred Attributes
Strong understanding of banking technology and digital customer journeys.
Experience with LLM application frameworks and AI orchestration platforms.
Ability to evaluate and implement emerging AI technologies within governance and compliance requirements.
Strong balance between innovation, security, reliability and business value.
Passion for building practical enterprise AI solutions that improve customer experience and operational efficiency.
How to apply
For more information and job application details, see;
Co-operative Bank of Kenya AI Application Engineer Jobs
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