AI Transformation Lead

What you will be doing:

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

What we are looking for:

• Master’s degree in computer science, Engineering, or a related field. (*Transcript Required)
• 12+ years’ experience in software engineering, data engineering, or AI production environments.
• Minimum 4 years’ experience in Machine Learning
• Proven delivery of at least 3 large AI projects into production
• Strong hands-on AI Operations and MLOps experience
• Cloud platform experience (GCP preferred, other platforms considered)
• Strong leadership and stakeholder interfacing capability
• Proven experience leading technical teams and delivering complex, enterprise-scale solutions.
• Advanced proficiency in Python, SQL, and cloud-native development.
• Hands-on experience with CI/CD pipelines, containerisation (Docker, Kubernetes), and infrastructure-as-code.
• Strong system design, architectural, and problem-solving skills.
• Excellent communication skills with the ability to articulate complex technical concepts clearly to diverse stakeholders.
• Ownership mindset with resilience, adaptability, and a results-driven approach.

Advantageous experience:

• Postgraduate qualification in AI, Data Science, or Systems Engineering.
• Exposure to platforms and tools such as Vertex AI, BigQuery, Cloud Composer, and Kubeflow.Â

Please note that if you do not hear from us within 3 weeks, consider your application unsuccessful.

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