AI Solutions Architect

An exciting opportunity for an AI Solutions Architect to lead the practical adoption of AI across a technology and services organisation.

The role will focus on designing secure, scalable and commercially viable AI solutions, embedding AI into existing products and services, and developing new AI-enabled capabilities that improve automation, productivity, customer experience and operational efficiency.

You will work across AI, data, architecture, automation, security and governance, taking ideas from initial concept through to production and ongoing service delivery.

Key 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, taking solutions from pilot through to production.
• Create reusable architectures, frameworks, documentation and implementation guidance.
• Drive internal AI adoption to improve productivity, knowledge management and operational efficiency.
• Provide technical leadership across customer engagements, workshops, bids and pre-sales activity.
• Work closely with Product, Engineering, Security, Data, Operations and Commercial teams.
• Ensure AI solutions meet appropriate security, data protection, governance, risk and compliance requirements.
• Keep up to date with emerging AI technologies, market trends and responsible AI practices.

Key Skills & Experience

The successful candidate will have strong experience across:

• AI & Generative AI: LLMs, foundation models, AI assistants, agents, RAG, enterprise search and workflow automation.
• Solution & Platform Architecture: Designing scalable, resilient and supportable enterprise solutions.
• Data & Integration: Data architecture, governance, structured/unstructured data, 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 development of customer-facing propositions.

Ideally, you will have experience:

• Designing and delivering enterprise-scale technology, AI, data or automation solutions.
• Translating business requirements into technical architectures and delivery roadmaps.
• Developing reusable architectures, frameworks and implementation patterns.
• Working in customer-facing architecture, consultancy or pre-sales environments.
• Collaborating with security, governance, engineering and operational teams.
• Taking technology propositions from concept through to commercial delivery and ongoing support.

Relevant architecture, AI/data, security, governance, service management or delivery certifications would be advantageous, although equivalent experience will be considered.