Key Responsibilities:
1. Lead the design and delivery of end-to-end AI/ML solutions aligned to organisational strategy and operational objectives.
2. Define scalable, secure, and maintainable AI architectures, covering data pipelines, model lifecycle management, deployment, and monitoring.
3. Establish architectural standards, design patterns, and engineering best practices.
4. Provide technical oversight across the full AI lifecycle: concept, prototyping, production deployment, and optimisation.
5. Review and approve solution designs produced by AI Solution Engineers and wider delivery teams.
6. Lead, mentor, and develop AI Solution Engineer(s) and associated technical staff.
7. Set technical direction and ensure consistency in engineering standards across AI initiatives.
8. Conduct code and design reviews to ensure quality, security, and maintainability.
9. Identify capability gaps and drive upskilling across the AI team.
10. Foster a collaborative, high-performance engineering culture.
11. Own technical delivery of AI solutions, ensuring alignment with scope, timelines, and quality expectations.
12. Oversee deployment of AI systems into secure or controlled environments.
13. Ensure compatibility of AI solutions with DevSecOps pipelines and enterprise technology stacks.
14. Define and monitor performance metrics for deployed models, ensuring operational eff...