Solution Architect – AI, Automation & Finance Transformation

Role Overview

The Solution Architect will own the end-to-end architecture of enterprise AI, automation, and analytics solutions across the Finance Transformation portfolio. This is a design-and-decide role with real accountability.

What You Will Do

The architect will translate finance and operations problems into solution designs that are scalable, secure, governable, and supportable, and hold the line on architecture standards when delivery pressure argues otherwise.

Why It Might Be a Fit

The ideal candidate will have demonstrable experience owning solution architecture for enterprise systems that reached production and remained in service, and a strong command of integration architecture, API design, event-driven patterns, and data architecture.

Requirements

• Demonstrable experience owning solution architecture for enterprise systems that reached production and remained in service
• Strong command of integration architecture, API design, event-driven patterns, and data architecture across transactional and analytical estates
• Proven ability to produce architecture documentation and decision records that withstand enterprise architecture and security review
• Experience designing for non-functional requirements — scale, resilience, performance, observability, and cost — with evidence that the design held in production
• Hands-on experience architecting and delivering GenAI or LLM-based enterprise solutions
• Working knowledge of agentic frameworks and platforms such as LangChain, LangGraph, Semantic Kernel, AutoGen, Copilot Studio or equivalent
• Experience with Azure OpenAI or comparable enterprise LLM platforms, including evaluation, guardrails, and cost management at scale
• Understanding of the machine learning lifecycle — feature engineering, training, deployment, monitoring, and drift — sufficient to architect ML solutions and govern the teams building them
• Experience with enterprise automation and RPA platforms, and sound judgement on where automation beats an AI-first approach
• Strong hands-on Python, retained and current — able to prototype, review code credibly, and debug a production issue
• Strong SQL and practical experience with Databricks, cloud data warehouses, and modern data pipelines
• Solid grounding in Microsoft Azure services, containerisation, CI/CD, and infrastructure-as-code practices
• Working knowledge of Power BI, Power Platform, and the Microsoft 365 ecosystem as delivery surfaces for finance solutions
• Experience delivering solutions in enterprise Finance — forecasting, financial reporting, reconciliation, transfer pricing, deal desk, tax, or order and backlog analytics
• Understanding of financial controls, audit expectations, and the governance constraints that apply to systems handling financial data

Benefits

• Health & Wellbeing
• Personal & Professional Development
• Unconditional Inclusion