AI Solution Architect in Cheshire, Warrington

ABS is seeking an exceptional Artificial Intelligence (AI) Solution Architect to join us full-time. In this role, you will partner closely with ABS sales teams and clients to uncover business needs, shape AI consulting solutions across our full services portfolio, and help win and launch strategic engagements. You will lead solutioning and pre‑sales discussions, design AI‑led approaches that are feasible and differentiated, and ensure a smooth transition from opportunity to early delivery. While you will contribute to select engagements, your primary focus will be client‑facing architecture, consultative sales support, and coordination with our AI Center of Excellence to drive new services and IP.

What You Will Do

• Lead consultative discovery sessions with clients and ABS sales teams to identify AI opportunities across strategy, assistants, custom models, process optimization, policy optimization, and data standardization.
• Architect end‑to‑end AI consulting solutions, translating client objectives into clear approaches, roadmaps, and high‑level technical designs.
• Shape and review proposals, SOWs, and presentations to ensure they are technically sound, clearly scoped, and aligned with client value and risk considerations.
• Partner with delivery and operations teams to ensure a smooth handoff from pre‑sales to execution, including solution walkthroughs, resourcing assumptions, and risk/issue identification.
• Maintain ongoing engagement with clients during early project phases to validate that delivered approaches meet expectations and adjust solution design as needed.
• Collaborate with the AI Center of Excellence to communicate market and client requirements, informing the development of new services, solution patterns, and reusable assets.
• Represent ABS AI capabilities in strategic client meetings, conferences, and internal forums, serving as a trusted advisor on AI strategy and architecture.
• Contribute to internal best practices, playbooks, and reference architectures that accelerate consistent, high‑quality AI consulting delivery.

What You Will Need

• Bachelor’s degree in Computer Science, Data Science, Engineering, Information Systems, or a related field; advanced degree preferred.
• 7+ years of overall professional experience, including 5+ years in consulting roles focused on AI, data, or advanced analytics solutions.
• Proven track record leading solution architecture and pre‑sales for AI/ML or data‑driven engagements, including discovery, scoping, and proposal development.
• Experience working with enterprise clients on complex, multi‑stakeholder initiatives involving AI strategy, analytics, or digital transformation, preferably in regulated or compliance‑driven environments.
• Hands‑on exposure to at least one major cloud platform (AWS, Azure, or GCP) and its AI/ML services in production or client‑facing settings.

Knowledge, Skills, and Abilities

• Deep understanding of modern AI/ML concepts, including generative AI, large language models (LLMs), NLP, RAG‑style architectures, and traditional ML (classification, prediction, optimization).
• Strong command of solution architecture for AI systems, including data pipelines, model serving, integration with enterprise systems, and non‑functional requirements (security, scalability, performance).
• Demonstrated ability to conduct consultative sales conversations—eliciting requirements, framing business problems, and crafting compelling AI solution narratives for technical and non‑technical stakeholders.
• Hands‑on familiarity with AI and data platforms and tools (e.g., Azure AI / OpenAI, AWS AI/ML services, Google Vertex AI, Python‑based ML ecosystems) sufficient to credibly validate solution feasibility.
• Solid understanding of data management for AI, including data quality, metadata, taxonomies/ontologies, tagging of unstructured content, and implications for model performance and governance.
• Experience designing AI solutions for process optimization, knowledge management (policies/procedures), and decision support in enterprise environments.
• Strong written communication skills for authoring proposals, SOWs, solution overviews, and client‑facing documentation that clearly articulate value, scope, and risk.
• Excellent stakeholder management and facilitation skills, with a history of working alongside sales, delivery, and product/COE teams to align on client needs and solution direction.
• Awareness of AI risk, ethics, and governance considerations, with the ability to incorporate them into solution designs and client discussions.

This role reports to the AI Consulting Practice Lead and does not initially include direct reports.