Solution Architect, AI

Job not on LinkedIn

🔥 0 minutes ago

🇬🇧 United Kingdom – Remote

💵 £80k - £110k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

🇬🇧 UK Skilled Worker Visa Sponsor

This company has sponsored UK Skilled Worker visas in the past.

👻 Ghost score 3%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Advancing Analytics

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2018

💼 Consulting

📣 Marketing

🤖 Artificial Intelligence

Consulting • Marketing • Artificial Intelligence

Advancing Analytics is a Big Data and AI consultancy that helps organisations turn data into actionable insight. The company specializes in Microsoft Data & AI and Databricks technologies, advancing Lakehouse architecture and blending traditional analytics with machine learning and AI. They provide services across data engineering, analytics, strategy and systems implementation, operating as a remote-first, B2B consultancy staffed by certified experts.

📋 Description

• 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

• 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

• 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