Solution Architect - Gen AI

The GenAI Solution Architect is part of the Architecture Practice within the CTO organisation and is responsible for shaping end-to-end solution design for change delivered through projects, programmes, value streams, and innovation initiatives. The role focuses on designing and deploying AI-enabled capabilities into the enterprise estate, ensuring they integrate effectively with customer journeys and core back-end systems through secure, resilient, and reusable patterns. The role combines strategic architecture leadership with hands-on solution design, governance, and delivery support, ensuring alignment to enterprise principles, roadmaps, vision, and technology standards., * Lead the end-to-end solution design for GenAI initiatives, from initial concept through to delivery, ensuring solutions enable intended business value.

• Design AI-enabled capabilities that integrate cleanly with enterprise platforms, customer experience journeys, and core back-end systems using well-governed and reusable patterns.
• Define and champion solution standards, architecture best practice and patterns applicable to Gen AI solutions.
• Work closely with Lead Solution Architects, Principle and Staff Engineers, Heads of Technology, and business stakeholders to ensure roadmap alignment and effective use of enterprise assets.
• Provide architecture consultancy and design support to value streams, grounded in strong technical expertise and practical delivery understanding.
• Lead and contribute to governance forums, ensuring solutions conform to enterprise standards, architecture principles, and approved patterns, while identifying and managing divergence where needed.
• Build strong relationships with technical and business stakeholders to maintain alignment between technology choices and business strategy.
• Maintain a detailed understanding of the value stream architecture and ensure dependencies, building blocks, principles, rationale, and roadmaps are clearly understood and communicated.
• Produce high-quality architecture documentation, capturing decision points, solution structures, standards, interdependencies, and implementation considerations.
• Contribute to the architecture repository using agreed modelling tools and architecture language.
• Support the use of AI capability platforms, including MCP Servers and CI/CD enablement.
• Promote architecture capability across the organisation through knowledge sharing, articles, papers, specialist groups, and participation in relevant forums.
• Support innovation by researching emerging technologies, assessing industry developments, and communicating opportunities, threats, and strategic implications.
• Keep architecture and CTO leadership informed of progress, risks, significant decisions, and areas requiring escalation., * This is a remote role, with an expectation to attend the Ty Admiral Cardiff office once per month or as and when required.

Admiral: Where You Can

We take pride in being a diverse and inclusive business. It’s a place where you can Be You, and show up as you are. We’re committed to fostering a people-first culture where everyone is accepted, supported, and empowered to be brilliant. You can, Grow And Progress at a pace and direction that suits you, Make A Difference for our customers and each other, and Share in Our Future with all colleagues eligible for up to £3,600 of free shares each year after one year of service.

Everyone receives 33 days holiday (including bank holidays) when they join us, increasing the longer you stay with us, up to a maximum of 38 days (including bank holidays). You also have the option to buy or sell up to an additional five days of annual leave.

We’re proud of our people-first culture. In fact, we’ve been recognised as a Great Place to Work for Women, a Great Place to Work for Wellbeing, and an overall Great Place to Work for over 25 years! We’re fully committed to making sure your progression is not slowed or halted by barriers related to race, gender, age, sexuality or any of the protected characteristics.

Our fantastic benefits make sure our colleagues have a great work-life balance; You can view some of our other key benefits here.

Essential

• Experience working with GenAI orchestration frameworks such as Google ADK, LangChain, AutoGen, or similar technologies, with the ability to apply them to business and technical challenges.
• Experience designing data retrieval solutions, including Retrieval-Augmented Generation (RAG), and working with vector databases to support AI-enabled applications.
• Experience using AI services from at least one major cloud provider, such as AWS, Azure, or Google Cloud.
• Experience designing, implementing, or contributing to model evaluation approaches, including MES frameworks, LLM-as-a-Judge pipelines, or comparable evaluation methods.
• Experience managing prompts within production environments, including areas such as version control, testing, monitoring, and lifecycle management.
• Experience designing or implementing AI guardrails and controls to help mitigate risks such as prompt injection, hallucinations, and biased outputs.
• Knowledge of Model Context Protocol (MCP) and its application in integrating large language models with external tools, services, and data sources.
• Knowledge of integration security principles and their application within enterprise environments.
• Experience working with data exchange formats and transformation approaches to support system integration and interoperability.
• Understanding of software delivery practices and how solution architecture supports CI/CD and modern delivery pipelines.
• Experience designing and deploying integration solutions within at least one major cloud environment.
• Demonstrated ability to apply architectural principles, patterns, and technologies to solve business and technical challenges.
• Ability to communicate effectively with technical and non-technical stakeholders and build working relationships across a range of audiences.
• Experience aligning technology solutions with organisational goals, business priorities, and commercial considerations.
• Ability to take a pragmatic, outcomes-focused approach to problem-solving, innovation, and solution design.

Desirable:

• Experience in MLOps.
• Exposure to containerisation technologies such as AKS or GKE.
• Experience in Financial Services or regulated environments.
• Awareness of industry technology standards.
• Understanding of technology cost and value considerations.