AI Platform Developer Specialist

About the role

AI Platform Engineers are software developers who build, maintain, and evolve the FNZ’s deployment framework that underpins FNZ's AI and non-AI products.

What you'll do

• Design, develop, and maintain reusable cloud infrastructure and platform capabilities using Terraform, Azure, Kubernetes, and Infrastructure-as-Code best practices
• Implement and operate AI infrastructure services including Azure AI Foundry (preferred), LLM platforms, MCP gateways, RAG solutions, vector databases, storage
• Build, maintain, and optimise CI/CD pipelines, automation frameworks, and deployment processes using GitHub, GitHub Actions, and modern Platform Engineering practices
• Enable product teams to securely deploy and consume AI and cloud services through standardised platform patterns, self-service capabilities, and golden paths
• Implement security, identity, access control, data governance, and compliance controls for cloud and AI workloads, including management of sensitive and regulated data

What you need

• 1–3 years in data science & ai
• LLMs
• CI/CD
• Terraform
• Azure
• Kubernetes
• Git
• Any graduate

Good to have

• Instrumentation

What you get