Solution Architect - AI
Listed on 2026-11-01
-
IT/Tech
AI Engineer (Applied/Software)
Salary
: £80,000 - £110,000 (depending on experience)
Location
:
Remote – must be based within the UK. Occasional visits to see customers and the team.
Interview process: Two rounds. 1:
Get to know you chat with one of Talent Team;2:
Technical competency with two of the technical team; 3:
Final Interview with our Chief Architect
Our Values: Advancing, Come as you are, Zero burnout, We all level up together and Transparency
Learn more about us: You Tube, read our Blogs & understand our values!
Who Are We?
Advancing Analytics
are a market leader in delivering bleeding edge analytical solutions for customers all over the world. To thrive in today's market, businesses need to implement AI built on a solid, reliable Data Platform, and we are looking for you to help us build it!
Who are we looking for?
The Solution Architect - AI will own the technical win across our AI pipeline. You will work alongside Sales, Senior Leadership, and Delivery Leads to turn opportunities into signed engagements by helping clients understand how AI can solve business challenges.
You will lead the technical discovery process, shape AI-driven solutions, build demonstrations and proofs of value, and present compelling business cases to clients. As a trusted expert in Databricks, Generative AI, Agentic AI, and modern data platforms, you will guide organisations from initial vision through to signed Statements of Work.
You will work closely with clients to understand their challenges, shape the right solutions, and help them make the most of modern data and AI technologies.
You will play a key role in our most strategic engagements, supporting complex programmes and influencing how we leverage Agentic AI, automation, data platforms, and self-serve analytics to drive client outcomes.
Key Responsibilities:- Design and document end-to-end AI solutions using Databricks, Azure AI services, LLMs and related services.
- Translate business and technical requirements into clear architecture designs that delivery teams can build.
- Apply our existing standards, patterns, and reference architectures.
- Identify technical risks early, own them on the project risk register and be accountable for their mitigation and resolution.
- Produce design artefacts and present them at architectural forums, from engineering teams through to senior executives.
- Shape and guide the design of intelligent data platform projects using Lakehouse architectures, making data available for reporting, AI, and analytics.
- Engage early in client conversations to qualify AI opportunities and recommend the right approach.
- Run structured AI discovery workshops with data, analytics, and platform teams. Capture requirements, current state, workloads, governance constraints, and target outcomes.
- Shape the solution with subject matter experts across the business. Make designs scalable, supportable, cost-effective, and aligned with our standards.
- Own the technical content of RFP and RFI responses, proposals, architecture diagrams, and Statements of Work.
- Own the technical view on scope, effort, and delivery risk for opportunities.
- Build and deliver compelling demonstrations, proofs of concept, and prototypes showcasing GenAI, AI Agents, natural language interfaces, and data-driven solutions.
- Work with Databricks and Microsoft field teams on strategic AI opportunities and co-selling initiatives.
- Build strong relationships with clients and become a trusted technical advisor.
- Take complex technical concepts and translate them into plain language and clear business outcomes for senior business leaders, technology leads, and internal sales teams.
- Hand each won opportunity to delivery with a clear, complete design. Walk the Solution Architect through scope, assumptions, risks, and…
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