AI Solutions Architect

An AI Solution Architect is responsible for designing and overseeing the implementation of technical solutions, specifically those involving how we build and operate with AI. The role exists within our Corporate function to enforce keeping our AI estate consistent, so that the same patterns, components and controls are used across business units.

Working primarily within the Microsoft ecosystem, this role involves collaborating with stakeholders, developers, and business change to ensure:

1. AI solutions within Isio’s digital products are fit for commercial purpose

2. AI is being adopted with best practices across Isio’s internal business operations

3. AI development tooling is being adopted with best practices within Isio’s SDLC

Although this role involves strategic oversight, it also requires being hands-on day to day to deliver proof of concepts and reinforce technical excellence. This is a great opportunity for someone wanting to enter a career defining position, shaping our AI landscape whilst still retaining the autonomy to lead from the front.

What you’ll be doing

You’ll lead the technical design of AI at Isio, from the products we build for clients, to the tools our people use every day. You’ll primarily work with our Digital and Product Management team, our Head of Development, our existing Solution Architects and Principal Developers, alongside operations leaders across our core business units, composing of internal and external teams based across the UK and Europe.

You’ll be joining a growing business with a start-up feel, backed by the stability and resources of a larger organisation.

Designing and building products

· Turning product ideas into architecture. Assessing what we build, buy or reuse, incorporating commercial considerations

· Producing low level technical designs covering data, model choice, integration, security and scale

· Presenting product managers clear options with effort, risk and cost, such that decisions are based on evidence

· Staying hands-on throughout the product SDLC and pairing with engineers.

· Oversee products from proof of concept through to production and ongoing support

Shaping how we build agentic workflows

· Set the standard for how agents are commissioned at Isio, including how they connect to tools and data, with where (and where not!) a person stays in the loop

· Implement relevant controls to ensure agents are safe to use with client data

· Work with business units to discover where AI can genuinely benefit how work gets done, considering existing operational processes.

· Keep our everyday AI tools under continuous review, recommending what to adopt, consolidate or drop, while tracking usage against cost.

Improving how we develop

· Agree and embed ways of working with AI tools, working with the Head of Development and Principal Developers.

· Helping strengthen our DevOps, continuous deployment and automated testing, ensuring a consistent approach across projects.

· Supporting modular design and component reuse.

· Supporting data architecture and lineage for structured and unstructured data, in line with group governance.

· Take part in our Change Advisory Board (CAB) to govern changes to production systems.

· Mentor and upskill others in the Development team.

Key Role Requirements

· 10+ years development experience. Microsoft Ecosystem strongly preferred (C#, dotnet, Entra, Copilot)

· 5+ years hands on experience with the Azure Cloud Platform, covering a broad range of Azure resource types including AI Foundry

· 3+ years experience working with frontier AI tools and models, including OpenAI, Claude and Gemini families

· Hands on experience with DevOps implementing CI/CD pipelines, incorporating LLMOps/MLOps. Knowledge of Github Actions strongly preferred

· Hands on experience of multiple high level architecture patterns, incorporating multiple orchestration frameworks, RAG techniques, and monitoring solutions such as Langfuse

· Hands on experience with designing and building platform integrations to a mature standard, comprising of APIs and MCPs

· Hands on experience with messaging queues (Azure Service Bus preferred) and asynchronous architectures

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