GenAI Deployment and Integration Solution Architect
Listed on 2026-02-21
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IT/Tech
Cloud Computing, AI Engineer
The Solution Architects are part of the Architecture practice within the CTO organisation which reports into the Chief Technology Officer. Solution Architects take primary responsibility for the design and end‑to‑end solutions for change delivered through project, programme, value stream, and innovation initiatives, aligned to the Enterprise Principles, Roadmaps and Vision. In this context, the focus is on designing and deploying AI‑enabled capabilities into the EUI estate, ensuring they are integrated cleanly into customer experience journeys and the core back‑end systems (Guidewire) through well‑governed, reusable integration patterns.
Solution Architects champion technology standards, standard patterns, and best practices including reuse of successful solutions elsewhere in the Admiral Group – particularly those required to ope rationalise AI within EUI (e.g., secure and resilient integration, event/request‑response patterns, orchestration, automation, and delivery pipelines). They feed their depth of knowledge and expertise into the enterprise roadmaps, and lead and take part in governance forums to develop and ensure the on‑going conformity to the enterprise roadmap and Admiral’s technology standards.
Solution Architects provide the value streams with technology consultancy and design support grounded in subject‑matter expertise and experience. They work with the Lead Solution Architects, Senior and Staff Engineers, and Heads of Tech to ensure roadmap alignment, and ensure optimal use of enterprise assets – especially via the AI & Integration Capability Hub, spanning real‑time integration (Tibco, API Management, Azure Integration Services), managed file transfers (MoveIT), automation (RPA, UiPath, Logic Apps), and CI/CD enablement (Azure Dev Ops).
MainDuties
- Together with Lead Solution Architects, provide strong technical solutions for value streams, own those solutions from ideation to delivery, and ensure that business value can be realised through the correct implementation of the solutions.
- Lead and contribute to governance forums, ensuring solutions adhere to established standards and patterns, identifying and controlling divergences, and escalating where necessary.
- Build productive relationships with technical and business stakeholders to maintain alignment of technology and business strategies.
- Contribute to and help maintain a detailed understanding of the architecture for the value stream.
- Produce documentation of a high‑quality and to a detailed level, ensuring that all decision points, building blocks, principles, rationale, roadmaps, and all interdependencies are understood, documented, and communicated across value streams.
- Contribute to the architecture repository using the Admiral architecture modelling tools and language.
- Write, or contributes to, articles, and papers and speak at conferences, user groups, or specialist subject groups on topics involved in Architecture. Play a leading role in special interest groups concerned with specialist field.
- Promote Architecture within Admiral and closely associated organisations.
- Support innovation by research, create and communicate reports, strategies and industry insights about emerging technologies, products, services, methods and techniques and their potential impacts, threats, and opportunities.
- Keep the Head of Solution Architecture and the CTO management team informed and escalate where appropriate.
Essential:
- Experience in the Gen AI Orchestration frameworks such as Langchain, Autogen, Google ADK etc.
- Experience in designing data retrieval pipelines (RAG) with strong understanding of the vector databases.
- Expertise in AI services offered by any of the cloud providers AWS (e.g. bedrock), Azure (Azure AI Services) or GCP (Vertex AI).
- Experience in designing and evaluating Model Evaluation Services (MES) frameworks or designing “LLM‑as‑a‑Judge” pipelines.
- Experience in Prompt Management – Strategic approach to prompt versioning, testing, and lifecycle management within production environment.
- Experience in designing and implementing AI Guardrail frameworks to mitigate risks associated with the prompt injection,…
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