AI Integration Engineer

Specifically, the successful jobholder will be required to: Design, develop, test and maintain APIs, events, messages, connectors, batch interfaces and secure tool interfaces that enable approved AI models, agents and assistants to retrieve trusted data and perform authorised actions in enterprise systems. Implement integrations through the Bank’s approved API gateway, integration platform and messaging infrastructure using appropriate REST, SOAP, GraphQL, message-queue, event-streaming and batch patterns in line with enterprise integration standards. Translate interface requirements into clear contracts, schemas, mappings, error handling, reconciliation and service-level requirements. Apply security controls including authentication, authorisation, encryption, secrets handling, input validation, throttling, data masking, logging and auditability, with human-in-the-loop controls for sensitive or high-impact actions performed by AI agents. Build resilient integrations with idempotency, retry, timeout, circuit-breaker, queueing and recovery patterns appropriate to the service criticality. Collaborate with system owners, Application Engineers, Data Engineers, Architects, ICT Security and QA to deliver the real-time and batch data feeds required by AI models and decisioning services, coordinate dependencies, and complete end-to-end and regression testing. Manage integration releases through the Bank’s change-management process, coordinating deployment and production handover with system owners and delivery teams. Monitor integration health, performance and reliability; troubleshoot failures; resolve incidents and defects within agreed service levels; and address capacity, resilience and technical-debt concerns. Contribute to reusable integration patterns and API standards in collaboration with the AI & Data Architect and Enterprise Architecture. Maintain interface catalogues, API specifications, schemas, mapping documents, interface agreements, operational procedures, release artefacts and production-support documentation for internal system owners and third-party providers.

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 Technology or a related field.

Professional certification in integration platforms, API management, cloud or software engineering is an added advantage.

At least four (4) years of experience in systems integration, API engineering, middleware, messaging or backend software engineering.

Demonstrated hands-on experience integrating high-availability enterprise systems, including core banking platforms or comparable solutions.

Experience in banking, financial services, fintech, telecommunications or payments environments is preferred.

REST/JSON, event, messaging and batch integration patterns.

API gateways, middleware and service management.

Interface contracts, schemas and data mapping.

Integration security and secrets management.

Resilience, reconciliation and error-handling patterns.

Automated integration and contract testing.

Monitoring, troubleshooting and production support.

Clear technical documentation and stakeholder coordination.