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, translating finance and operations problems into solution designs that are scalable, secure, governable, and supportable.

What You Will Do

The architect will design the target-state architecture, choose platforms and patterns, secure approvals from enterprise technology, security, and data governance, and guarantee that what ships matches what was designed.

Why It Might Be a Fit

The role requires a strong command of integration architecture, API design, event-driven patterns, and data architecture across transactional and analytical estates. The architect will also need to communicate effectively to a CFO stakeholder and a data engineer, and be comfortable with ambiguity and evolving requirements.

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
• Comprehensive suite of benefits that supports physical, financial, and emotional wellbeing
• Investment in career development and growth
• Flexible work arrangements and personal needs management
• Bold moves and a force for good
• Equal Employment Opportunity/ Veterans/Disabled/LGBT employer
• Dental insurance
• Vision insurance
• Variable incentives
• 401(k) or equivalent retirement plan
• Paid holidays
• Paid time off
• Healthcare
• Wellness programs
• Parental leave
• Visa/relocation support
• Remote flexibility
• Stipends
• Bonus/commission