AI & Platform Engineer

Motion Recruitment; North Sydney Council; On-site; AUD 180,000 - 240,000; Full time

Job summary

Motion Recruitment is seeking a Senior AI & Platform Engineer in Sydney to lead end-to-end architecture for a greenfield AI-enabled cloud platform. The role blends hands-on coding with technical leadership alongside the Head of Engineering.

You will architect Azure OpenAI integrations, Copilot Studio implementations, and custom AI workflows using .NET, while guiding best practices for secure SDLC and CI/CD. Strong communication is essential.

Qualifications

• Advanced experience with .NET, Azure Cloud Native architecture, API design, and integration patterns.
• Hands-on experience building or integrating AI solutions (Azure OpenAI, Copilot Studio, or AI workflows).
• Proven ability to decouple monolithic systems into scalable, modern architectures.
• Excellent stakeholder management and thorough technical documentation.

Responsibilities

• Architecture & Modernisation: lead Azure cloud-native design, API strategies and legacy decoupling.
• AI & Agentic Engineering: implement Azure OpenAI, Copilot Studio and AI frameworks with .NET.
• Engineering Excellence: promote CI/CD, DevOps, secure SDLC and code reviews.

Skills

.NET expertise

Azure cloud native architecture

API design & integration patterns

AI capabilities & frameworks

Job description

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

• 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.

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

• 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.

What We Are Looking For

• 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.