AI Engineer / AI Senior Engineer

JOB PURPOSE:
To develop, test, and deploy Generative AI solutions as part of the AI Engineering team, contributing to the bank’s AI engineering capability. The role is responsible for hands-on implementation across the AI development lifecycle, including model integration, pipeline development, and production deployment, ensuring that AI solutions are robust, scalable, and compliant with established engineering standards.
Works closely with Data teams, the AI Solution Architect, and the AI Engineering Manager to translate approved solution designs and model outputs into production-grade AI systems embedded in the bank’s technology ecosystem.

** KEY ACCOUNTABILITIES:**
Roles and Responsibilities
1. Develop and implement AI engineering components, including model integration pipelines, API wrappers, inference services, and data processing workflows, in accordance with approved solution designs and architectural standards.
2. Implement LLMOps practices for assigned AI solutions, including model versioning, CI/CD pipeline configuration, automated testing, performance monitoring, and model drift detection.
3. Develop and maintain APIs and integration components that expose AI model outputs to consuming business applications, ensuring the reliability, performance, and security of AI service endpoints.
4. Conduct unit and integration testing of AI engineering components, validating that deployed solutions meet functional requirements, performance benchmarks, and governance standards prior to production release.
5. Monitor AI solutions in production, tracking model performance metrics, system health indicators, and data drift signals, and escalating issues to the AI Engineering Manager where remediation is required.
6. Contribute to the development and maintenance of reusable engineering components, libraries, and shared tooling that accelerate delivery consistency across AI initiatives.
7. Collaborate with Data teams to understand model requirements, integration expectations, and performance criteria, providing engineering guidance on deployment constraints and infrastructure considerations.
8. Maintain technical documentation for AI engineering components, including deployment guides, API specifications, monitoring configurations, and operational runbooks.
9. Apply secure coding practices and adhere to enterprise security standards throughout AI solution development and deployment activities.
10. Support the AI Engineering Manager in effort estimation and technical planning for AI initiatives, providing input on implementation complexity, engineering dependencies, and technical risk.
11. Comply with all relevant CBE regulations, banking laws, AML regulations and internal CIB policies and code of conduct in order to maintain CIB’s sound legal position and mitigate any potential risks.
Policies, Processes and Procedures
12. Follow all relevant department policies, processes, standard operating procedures and instructions so that work is carried out in a controlled and consistent manner
Day-to-day Operations
13. Follow the day-to-day operations related to own jobs in the department to ensure continuity of work