About this role
- Architect and implement secure, interoperable solutions using standard frameworks and design patterns, integrating application and infrastructure to achieve scalability and efficiency.
- Develop robust, vendor-agnostic data platforms for AI and machine learning workloads, optimising multi-cloud environments for performance and flexibility.
- Design of structured MLOps pipelines automating and streamlining the models’ lifecycle, from development to serving.
- Design security architectures that protect infrastructure and applications, aligning with risk management strategies and regulatory data protection and security standards.
- Continuously assess and optimise system performance and scalability using advanced metrics and predictive analytics.
- Collaborate with cross-functional teams, including AI developers, business analysts, and IT operations, to ensure architecture aligns with business objectives and technological capabilities.
- Establish CI/CD pipelines to support rapid application development and deployment in dynamic environments, utilising infrastructure-as-code and configuration management tool Ensure seamless system integration and cross-platform compatibility through strategic API design, interoperability testing, and continuous benchmarking.