Michael Page · AE
Posted:
This is a strategic leadership opportunity to define and govern the architecture, operations, and lifecycle management of enterprise AI platforms that support large-scale digital transformation initiatives. The successful candidate will oversee AI platform operations, DevOps and MLOps capabilities, vendor partnerships, and platform performance while enabling secure and scalable AI adoption across multiple stakeholder Client Details A government organisation driving digital transformation and innovation at a national scale. The organisation is committed to enabling advanced technology capabilities that support secure, efficient, and future-ready government services Description * Lead the strategy, architecture, and governance of enterprise AI platforms and operational environments. * Drive the development of scalable DevOps and MLOps capabilities to accelerate AI solution delivery. * Oversee platform performance, reliability, security, lifecycle management, and cloud optimisation initiatives. * Establish reusable AI accelerators, templates, sandboxes, and development frameworks that improve efficiency and standardisation. * Manage strategic technology partners and vendors while ensuring service excellence and continuous innovation. Job Offer * Opportunity to shape the future of AI adoption across a large-scale government ecosystem. * Exposure to transformative AI, cloud, DevOps, and MLOps programmes with significant strategic impact. * Bachelor's or Master's degree in Artificial Intelligence, Computer Science, Software Engineering, Data Science, Information Technology, or a related discipline. * Minimum of 9 years' experience in AI platforms, cloud technologies, digital transformation, DevOps, MLOps, or related technology environments. * Proven leadership experience with responsibility for managing teams, performance, and strategic technology initiatives. * Strong expertise in cloud platforms, AI engineering, platform architecture, automation pipelines, and operational governance.