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

Support for product development

• •Assist product teams with configuration and deployment of infrastructure aligned to their use cases
• •Ensure appropriate cost and usage instrumentation (e.g. token/API usage) for each AI product
• •Ensure access controls are in place around the product’s LLM and tool usage.
• •Assist product teams in evidencing the above when seeking approvals.

Note: development of harnesses and agents sits with other teams

Production support and lifecycle management

Provide an escalation point for AI related production support queries.

• Participate in monitoring and feedback loops between AI Governance, Product, and Project teams, including supporting model version deprecation, preview evaluations, and rollout of replacement models for across projects.
• Assist InfoSec and project teams with stale or toxic data and memory cleanup as the need arises.

• Experience required
• Primary Experience:

• •Bachelor’s degree or higher (min A- average for under-graduate, first class for post-graduate);
• •Experience deploying and operating LLM-based solutions in Azure or other major cloud providers.
• •Experience with MCP (Model Context Protocol).
• •Familiarity with AI gateways, model routing, and model management platforms.
• •Experience implementing RAG solutions including vector databases, caching strategies, and retrieval pipelines.
• •Understanding of agent orchestration frameworks.
• •Knowledge of AI security and governance controls.
• •Experience implementing data residency and regulatory compliance requirements.
• •Experience building reusable platforms, developer self-service capabilities, and golden-path architectures.
• •Experience developing Terraform modules, providers, or reusable infrastructure frameworks.
• •Experience with HashiCorp Vault, Key Vault, or equivalent secret-management technologies.

• Preferred Experience :
• Microsoft Azure experience

Essential Technical Skills:

• •Terraform and Infrastructure-as-Code
• •Microsoft Azure (Preferred)
• •Azure AI Foundry (Preferred)
• •Kubernetes (Production Operations and Troubleshooting)
• •GitHub / GitHub Actions
• •Open Telemetry and Distributed Tracing
• •Monitoring and Logging Platforms
• •Azure Networking and Hybrid Connectivity (Preferred)
• •LLM, RAG and MCP

About FNZ Culture

Our culture is what drives us. It's at the heart of who we are and everything we do. It's what inspires, excites and moves us forward. Our ambition is to create a culture for growth, one that opens up limitless opportunities for our employees, customers and the wider world. At FNZ we know that great impact is only possible with great teamwork. That’s why we value the strength and diversity of thought in our global team.

The FNZ Way is the cornerstone of what we do. It is comprised of four values that set the standard for how everyone at FNZ interacts with each other, with our customers, and with all our diverse stakeholders around the world.

1. Customer obsessed for the long-term

2. Think big and make an impact

3. Act now and own it all the way

4. Challenge, commit and win together

Read more about The FNZ Way and our values: www.fnz.com/culture

Opportunities

• •Right from day one, you will work alongside exceptional, multicultural teams - experts in their respective fields - who will inspire and challenge you to make your greatest impact.
• •Be part of a highly successful, rapidly growing, global business that is leading the delivery of financial services via cloud computing and partners with some of the world’s largest companies;
• •Working in a flexible and agile way that meets the needs of the business and personal circumstances;
• •Remuneration, significant financial rewards and career advancement is based on individual contribution and business impact rather than tenure or seniority;
• •We provide global career opportunities for our best employees at any of our offices in the UK, EU, US, Canada, South Africa and APAC.

Commitment to Equal Opportunities

At FNZ, we recognise that diversity, equity and inclusion are important factors contributing to our success. We embrace the unique perspective and capabilities of our current and future employees, which will help us continue to drive innovation and achieve our business goals. Recruitment decisions at FNZ are made in a non-discriminatory manner without regard to gender, ethnicity/race, faith, age, nationality, gender identity, sexual orientation, marital status, socio-economic background, disability or military veteran status where all applicants and employees are valued and respected. In addition, we want to ensure accessibility needs are well supported, if you require specific support please advise us.

About FNZ

FNZ is committed to opening up wealth so that everyone, everywhere can invest in their future on their terms. We know the foundation to do that already exists in the wealth management industry, but complexity holds firms back.

We created wealth’s growth platform to help. We provide a global, end-to-end