Solution Architect, AI

Advancing Analytics

. Own the technical win across the AI pipeline .

Posted 10/28/2026full-timeRemote • United KingdomMid-LevelSenior💰 £80,000 - £110,000 per yearWebsite

Tech Stack

Tools & technologies

AzureCloud

About the role

Key responsibilities & impact

Own the technical win across the AI pipeline
Work alongside Sales, Senior Leadership, and Delivery Leads to convert opportunities into signed engagements
Lead technical discovery processes and shape AI-driven solutions
Design and document end-to-end AI solutions using Databricks, Azure AI services, LLMs, and related services
Translate business and technical requirements into architecture designs for delivery teams
Apply standards, patterns, and reference architectures
Identify technical risks, record them on project risk registers, and lead mitigation and resolution
Produce design artefacts and present them at architectural forums
Shape intelligent data platform projects using Lakehouse architectures
Qualify AI opportunities and recommend appropriate approaches
Run AI discovery workshops with data, analytics, and platform teams
Capture requirements, current state, workloads, governance constraints, and target outcomes
Own technical content for RFP/RFI responses, proposals, architecture diagrams, and Statements of Work
Own technical scope, effort, and delivery risk for opportunities
Build and deliver demonstrations, proofs of concept, and prototypes involving GenAI, AI Agents, natural language interfaces, and data-driven solutions
Collaborate with Databricks and Microsoft field teams on strategic AI opportunities and co-selling initiatives
Build client relationships as a trusted technical advisor
Translate complex technical concepts into plain language and business outcomes
Hand won opportunities to delivery with complete designs, assumptions, risks, and estimates

Requirements

What you’ll need

Must be based within the UK
Proven experience in technical pre-sales
Experience designing cloud data architectures
Hands-on consulting experience with Azure and Databricks
Working knowledge of Generative AI, Agentic AI, Retrieval-Augmented Generation, LLMs, and intelligent automation patterns
Experience designing and presenting scalable, secure, and cost-effective solutions using established patterns and standards
Track record running discovery, demos, proofs of concept, and RFP responses for complex data and AI deals
Strong commercial awareness
Experience shaping Statements of Work, T-shirt-size estimates, total cost of ownership, and time-to-value analysis
Strong communication and presentation skills with technical and non-technical stakeholders up to C-level
Experience running demos, technical pitches, client workshops, and negotiations
Previous consulting experience is required
Databricks Professional certification is required, or equivalent knowledge demonstrated through real project experience
Azure certifications are a strong plus

Benefits

Comp & perks

Industry matching
Maternity & Paternity policy
Private Medical & Dental Care
Eye care scheme
Health & Well-being supplement
25 Days Annual Leave
Birthday Leave
Charity Leave
Away days with the team
Discretionary Annual Bonus Scheme
Flexible Working Hours
Electric Car Scheme
Professional development and learning opportunities
Hands-on access to technology and learning opportunities
Inclusive and collaborative team environment
Opportunities to speak at events and participate in industry conferences