
Solution Architect, AI
Posted Oct 28

Posted Oct 28
This is a fully remote position, open to applicants in United Kingdom.
• Take ownership of the technical success throughout the AI pipeline.
• Collaborate with Sales, Senior Leadership, and Delivery Leads to transform opportunities into confirmed engagements.
• Lead the technical discovery phases and develop AI-driven solutions.
• Design and document comprehensive AI solutions utilizing Databricks, Azure AI services, LLMs, and associated services.
• Convert business and technical requirements into architectural designs for delivery teams.
• Implement standards, patterns, and reference architectures.
• Identify technical risks, log them on project risk registers, and spearhead mitigation and resolution efforts.
• Create design artifacts and showcase them at architectural forums.
• Drive intelligent data platform initiatives using Lakehouse architectures.
• Assess AI opportunities and suggest suitable approaches.
• Facilitate AI discovery workshops with data, analytics, and platform teams.
• Gather requirements, current state assessments, workloads, governance constraints, and desired outcomes.
• Manage technical content for RFP/RFI responses, proposals, architecture diagrams, and Statements of Work.
• Oversee technical scope, effort estimation, and delivery risks for opportunities.
• Develop 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.
• Establish client relationships as a trusted technical advisor.
• Simplify complex technical concepts into clear language and business outcomes.
• Transition won opportunities to delivery with comprehensive designs, assumptions, risks, and estimates.
• Must reside within the UK.
• Demonstrated experience in technical pre-sales.
• Experience in designing cloud data architectures.
• Practical consulting experience with Azure and Databricks.
• Familiarity with Generative AI, Agentic AI, Retrieval-Augmented Generation, LLMs, and intelligent automation patterns.
• Proven experience in designing and presenting scalable, secure, and cost-effective solutions using recognized patterns and standards.
• Track record of conducting discovery sessions, demos, proofs of concept, and RFP responses for complex data and AI projects.
• Strong commercial acumen.
• Experience in crafting Statements of Work, T-shirt-size estimates, total cost of ownership, and time-to-value analyses.
• Excellent communication and presentation abilities with both technical and non-technical stakeholders, including C-level executives.
• Experience in conducting demos, technical pitches, client workshops, and negotiations.
• Prior consulting experience is mandatory.
• Databricks Professional certification is required, or equivalent knowledge gained through practical project experience.
• Azure certifications are highly advantageous.
• Industry-matching compensation.
• Maternity & Paternity policy.
• Private Medical & Dental Care.
• Eye care scheme.
• Health & Well-being supplement.
• 25 Days Annual Leave.
• Birthday Leave.
• Charity Leave.
• Team away days.
• Discretionary Annual Bonus Scheme.
• Flexible Working Hours.
• Electric Car Scheme.
• Opportunities for professional development and learning.
• Direct access to technology and learning resources.
• Inclusive and collaborative team culture.
• Opportunities to speak at events and participate in industry conferences.
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