Lead – AI Enablement Squad

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The AI Lead is responsible for translating cutting-edge data science into robust, scalable production systems. This role leads a multidisciplinary team focused on the productionisation of machine learning and LLM models, ensuring operational excellence, technical innovation, and strategic alignment with business goals. Success in this position requires architecting and implementing production‑grade systems that are scalable, maintainable, resilient, and integrated with existing production systems.

• Lead and mentor a cross‑functional squad of engineers, developers, analysts, and data scientists.
• Drive agile delivery practices, ensuring timely and high‑quality deployment of AI solutions.
• Own the technical roadmap for AI productionisation, including MLOps, LLMOps, and scalable infrastructure.
• Oversee architectural decisions for model deployment, data pipelines, and cloud‑native solutions.
• Implement monitoring, alerting, and incident response for AI systems in production.
• Champion best practices in CI/CD, testing, and observability for ML and LLM models.
• Collaborate with data science teams to translate prototypes into production‑ready applications.
• Liaise with platform and infrastructure teams to ensure seamless integration and scalability.
• Influence the velocity and reliability of AI delivery across the organisation.
• Represent the AI Enablement team in strategic forums and contribute to group‑wide innovation.

• Master’s degree in computer science, engineering, or related field.
• 12+ years in software/data engineering or AI productionisation.

• Advanced proficiency in Python, SQL, cloud‑native development, and MLOps/LLMOps tools.
• Experience with CI/CD, containerisation (Docker, Kubernetes), and infrastructure‑as‑code.

• Postgraduate qualification in AI, Data Science, or Systems Engineering.
• Familiarity with Vertex AI, Big Query, Cloud Composer, Kubeflow.

Mid‑Senior level

Full‑time

Information Technology and Strategy/Planning

Insurance

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