AI Integration Engineer

• Design, develop, test and maintain APIs, events, messages, connectors, batch interfaces and secure tool interfaces for AI models, agents and assistants
• Implement integrations through the Bank's approved API gateway, integration platform and messaging infrastructure using REST, SOAP, GraphQL, message-queue, event-streaming and batch patterns
• 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 AI actions
• Build resilient integrations with idempotency, retry, timeout, circuit-breaker, queueing and recovery patterns
• Deliver real-time and batch data feeds required by AI models and decisioning services and complete end-to-end and regression testing
• Manage integration releases through the Bank's change-management process
• Monitor integration health, performance and reliability, troubleshoot failures and resolve incidents within service levels
• Contribute to reusable integration patterns, API standards, interface catalogues and production-support documentation

Qualifications & Experience:

• Bachelor's degree in Computer Science, Software Engineering, Information Technology or a related field
• 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
• Professional certification in integration platforms, API management, cloud or software engineering is an added advantage
• Experience in banking, financial services, fintech, telecommunications or payments environments is preferred

Skills & Competencies:

• 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