AI Solutions Architect

Overview

In this role you will lead the practical adoption of AI across a technology and services organisation, designing secure, scalable AI solutions and embedding AI into products and services. You will work across AI, data, architecture, automation, security and governance from concept to production and ongoing delivery. The role emphasizes driving AI strategy, enabling internal adoption, and delivering value through improved productivity, customer experience and operational efficiency. This is a hybrid role in Yorkshire with a clear pathway to senior impact and responsible AI practices.

Pay / Benefits

• hybrid working in Yorkshire
• salary up to 95,000 pa
• eligibility for SC level security clearance
• comprehensive benefits (unspecified)

Responsibilities

• Develop and shape the organisation’s AI strategy, roadmap and architecture
• Design secure, scalable and reusable AI solutions and implementation patterns
• Identify opportunities to apply Generative AI, LLMs, AI agents, RAG and automation
• Develop new AI-enabled products and services from pilot to production
• Create reusable architectures, frameworks, documentation and implementation guidance
• Drive internal AI adoption to improve productivity and efficiency
• Provide technical leadership across customer engagements, workshops, bids and pre-sales
• Collaborate with Product, Engineering, Security, Data, Operations and Commercial teams
• Ensure AI solutions meet security, data protection, governance, risk and compliance requirements
• Keep up to date with emerging AI technologies, market trends and responsible AI practices

Key requirements

• AI & Generative AI: LLMs, foundation models, AI assistants, agents, RAG, enterprise search and workflow automation
• Solution & Platform Architecture: scalable, resilient enterprise solutions
• Data & Integration: data architecture, governance, APIs, search and information management
• Modern Engineering: automation, deployment, testing, observability, DevOps and service transition
• Security & Governance: secure-by-design architecture, identity, privacy, data protection, AI risk and governance
• Customer & Commercial: consultancy, pre-sales, technical workshops, bids and customer propositions

• technical leadership
• cross-functional collaboration
• customer-facing communication
• LLMs and foundation models
• Generative AI and AI agents
• RAG and enterprise search

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