Senior Manager AI Engineering (GenAI & MLOps Platform)
Skills
About This Role
Overview
As Senior AI Engineering Manager, you will lead the development of the organisation s GenAI and MLOps platform, ensuring that AI solutions can be built, deployed, and operated at scale.
Working as part of a rapidly expanding AI CoE, you will oversee a team of engineers and contractors responsible for building the foundational platforms that support AI product development across multiple business lines.
This role requires a leader who is highly technical and hands-on, capable of guiding architecture decisions while also contributing directly to engineering and platform development.
Responsibilities
- Lead the design and development of the organisation s Generative AI and MLOps platform, enabling scalable AI deployment across the business.
- Build and manage modern AI infrastructure, including Kubernetes environments, CI/CD pipelines, and infrastructure-as-code frameworks.
- Develop and maintain platform capabilities for GenAI applications, including RAG architectures, model deployment, monitoring, and governance.
- Establish engineering best practices, tooling, and platform standards to support AI engineers building and deploying AI solutions.
- Collaborate with data scientists, AI engineers, and product teams to support the delivery of conversational AI, chatbots, and agentic AI applications.
- Lead and mentor a team of engineers and contractors, ensuring strong technical direction and delivery quality across AI platform initiatives.
- Contribute to the scaling and evolution of enterprise AI platform capabilities as part of the wider AI transformation programme.
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