AI Platform Developer Specialist

Role Description: 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. The AI Platform Engineer will work within FNZ's Client Application Deployment Framework and internal Launchpad, ensuring AI services such as AI Foundry, LLMs, RAG platforms, MCP gateways, model serving infrastructure, storage, caching, and associated cloud services are delivered using the same engineering standards, governance, operational processes, and FinOps principles applied across FNZ's broader platform estate. The role requires a strong Platform Engineering mindset, combining expertise in cloud infrastructure, Kubernetes, IaaC, CI/CD, observability, security, and automation with knowledge of modern AI infrastructure patterns, agentic workloads, model lifecycle management, and AI governance requirements. Specific Role Responsibilities: 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, and caching services. 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. Establish observability, monitoring, distributed tracing, logging, and usage instrumentation to ensure platform reliability, operational visibility, and AI workload performance. Drive FinOps and cost optimisation initiatives by implementing infrastructure, cloud, and AI service usage monitoring, reporting, and governance controls. Support the lifecycle management of AI services and models, including onboarding, upgrades, deprecation planning, rollout of new capabilities, and operational support. Collaborate with Product, Platform Engineering, Security, AI Governance, and Operations teams to design scalable, secure, and resilient platform solutions. Evaluate emerging cloud, AI, and Platform Engineering technologies, contributing to the continuous improvement of FNZ's Application Deployment Framework (ADF) and overall platform strategy. Infrastructure (IaC) implementation Implement infrastructure architecture designs to support agentic workloads, including models, LLM and MCP gateways, RAG, storage, and caching for agentic loops and inference Implement data governance controls (e.g. access control and handling of PII within RAG stores) Iterate as agent patterns and provider offerings evolve