AI & Platform Engineer
Posted Updated
Summary
A senior hands-on role with Motion Recruitment's client in North Sydney: lead the architecture of a greenfield, AI-enabled Azure cloud platform, decouple legacy applications, and build AI/agentic capabilities using .NET, Azure OpenAI and Copilot Studio, while driving engineering best practices and coaching the team.
Our client is embarking on a multi-year, end-to-end technology transformation. They are seeking a Senior AI & Platform Engineer to serve as the technical authority driving the design and delivery of their future-state platform.
This is a 100% greenfield initiative with zero BAU, focused on decoupling legacy applications and engineering a modern, AI-enabled cloud ecosystem. Working alongside the Head of Engineering, you will lead the technical architecture while remaining deeply hands-on in the code, designing scalable solutions, and embedding cutting-edge AI capabilities into day-to-day operations.
Key Responsibilities
This is a 100% greenfield initiative with zero BAU, focused on decoupling legacy applications and engineering a modern, AI-enabled cloud ecosystem. Working alongside the Head of Engineering, you will lead the technical architecture while remaining deeply hands-on in the code, designing scalable solutions, and embedding cutting-edge AI capabilities into day-to-day operations.
Key Responsibilities
- Architecture & Modernisation (40%): Lead the design and delivery of Azure cloud-native solutions, API strategies, and legacy decoupling initiatives.
- AI & Agentic Engineering (40%): Architect and implement Azure OpenAI, Copilot Studio, and custom Agentic AI frameworks using .NET, along with Computer Vision and workflow automation.
- Engineering Excellence (20%): Drive best practices across .NET development, CI/CD pipelines, DevOps, and Secure SDLC while providing light technical coaching and code reviews for the team.
- Microsoft Stack Mastery: Advanced experience with .NET, Azure Cloud Native architecture, API design, and integration patterns.
- AI Capabilities: Hands-on experience building or integrating AI solutions (Azure OpenAI, Agentic frameworks, Copilot, or automated AI workflows).
- Modernisation Focus: Demonstrated experience taking monolithic or legacy systems and decoupling them into modern, scalable architectures.
- Communication & Documentation: Excellent stakeholder management skills and a strong commitment to clean technical documentation.