AI Solutions Architect (Presales)

Salary: £50,000 - 70,000 per year Requirements: • Experience in Solution Architecture, AI Engineering, Solutions Engineering, Forward Deployed Engineering, or technical consulting • Strong experience across several of the following: AI/LLM solution architecture; agentic AI systems; RAG and retrieval architectures; model APIs and orchestration frameworks; Microsoft Copilot Studio; Power Platform, Power Automate, or Dataverse; Azure and Microsoft 365; Python and/or TypeScript; APIs, integrations, and data architecture; AI governance, security, and cost optimisation; technical consulting, stakeholder management, or pre-sales Responsibilities: • Translate business problems into practical AI architectures and technical solutions • Own solution design from initial requirements through delivery • Architect agentic AI systems using model APIs, orchestration frameworks, RAG, and retrieval patterns • Evaluate and select models, platforms, low-code solutions, and custom development approaches • Design integrations, APIs, data pipelines, and data architecture for AI applications • Work across Microsoft technologies, including Copilot Studio, Power Platform, Azure, and Microsoft 365 • Establish reusable architectural patterns and engineering standards • Address security, governance, performance, resilience, data residency, and cost in solution design • Provide technical direction and mentorship to engineers • Support client conversations, technical discovery, proposals, and pre-sales activity • Present complex technical concepts to technical and non-technical stakeholders Technologies: • Agentic AI • AI • Architect • Azure • Copilot • Support • LLM • Microsoft 365 • Python • RAG • Security • TypeScript • Office 365 • Cloud More: We are hiring for a permanent, full-time AI Solutions Architect (Pre-Sales) role in London, with hybrid working and a salary of £90,000–£110,000 per annum. The position is with a global organisation investing significantly in its AI capability and spans internal transformation and external solutions. You will help shape the organisations AI capability, influence technology choices, engineering standards, delivery approaches, and future team direction, while combining hands-on technical delivery, advisory work, and client-facing activity. last updated 40 week of 2026