Artificial Intelligence Platform Engineer
About the role
CRDB Bank Plc seeks an Artificial Intelligence Platform Engineer in the Data Management Office at its Tanzania Head Office. The role builds and maintains the shared technology foundation used to develop, test and run the bank's AI solutions, with a focus on platform capability, security, capacity and resilience. Responsibilities: - Translate approved AI workload requirements into platform designs, capacity estimates and implementation plans with ICT and architecture owners. - Build and configure approved compute, storage, networking and platform services for development, testing and production environments. - Create reusable, version-controlled infrastructure configurations and environment templates to reduce manual setup and configuration drift. - Integrate identity, role-based access and service accounts with approved bank controls. - Implement approved connectivity, encryption and secrets-management controls with ICT and Cybersecurity. - Configure shared tools for development, experiment tracking, artefact storage and model serving. - Provide approved access to generative AI services with usage limits, logging and data-handling controls. - Build platform health metrics and alerts for resource use, availability and infrastructure faults. - Test platform upgrades, patches, backup, restore and resilience arrangements before authorised release. - Maintain platform architecture, configuration records and runbooks, and report platform capacity, reliability and cost. How to apply: Search for the vacancy title, register or sign in, and submit your CV and relevant supporting documents before the deadline. Apply online through the CRDB Bank careers portal: https://careers.crdbbank.co.tz/jobs
Key requirements
- Bachelor's degree in Computer Science, Information Technology, Software Engineering, Cloud Computing, Data Engineering, Artificial Intelligence, Cybersecurity, Information Systems, or a related field.
- A Master's degree in a related field is an added advantage.
- Minimum of 3 years of experience in infrastructure, platform or cloud engineering, including support for data or AI workloads.
- Cloud, infrastructure, container-platform, DevOps or security certifications are an added advantage.
- Experience with Kubernetes, Docker, Terraform, Ansible, Git and cloud-native services is an added advantage.
- Skills in Linux, networking, containers, Python or shell scripting and automated infrastructure configuration.
- Experience with identity integration, secrets management, observability, backup and recovery.
- Ability to assess capacity, service dependencies, performance and operating costs across approved environments.
- Platform Engineering
- Cloud Computing
- Kubernetes
- Docker