The Role:

We're looking for an experienced Senior Solution Architect to lead the design of AI-powered and Intelligent Automation solutions across a large-scale enterprise.

You'll work closely with business stakeholders, Product Owners, Technical Architects and Engineering teams to translate complex business requirements into scalable technology solutions aligned with long-term strategic objectives.

This is a highly influential role where you'll help define architectural standards, shape technology roadmaps and ensure AI solutions are secure, scalable and commercially effective.

Day-to-day Responsibilities:

• Design end-to-end enterprise solutions across AI, Generative AI and Intelligent Automation.
• Define solution architectures that align with business strategy, architecture principles and technology standards.
• Partner with Product Owners, Engineering teams and senior stakeholders to translate business challenges into technology solutions.
• Design integration strategies across APIs, microservices, enterprise platforms and cloud environments.
• Guide engineering teams through delivery, ensuring solutions remain aligned with architectural standards.
• Define AI architecture principles, governance and best practice across the organisation.
• Produce high-level and detailed solution designs, technical documentation and architecture artefacts.
• Identify technical risks, security considerations and scalability challenges throughout delivery.
• Contribute to technology roadmaps and evaluate emerging technologies to support future innovation.
• Coach and mentor Solution Architects while helping develop the wider Architecture function.

What They're Looking For:

• Proven experience as a Solution Architect, Software Architect or Enterprise Architect.
• Strong experience designing enterprise AI, Automation or Generative AI solutions.
• Excellent understanding of cloud platforms including Azure, AWS or Google Cloud.
• Experience designing large-scale distributed architectures using APIs, Microservices and modern integration patterns.
• Strong knowledge of Machine Learning, MLOps, DevOps and AI delivery practices.
• Knowledge of Enterprise Architecture frameworks such as TOGAF.
• Experience producing architecture documentation, standards and governance.
• Strong stakeholder management with the ability to communicate technical concepts to both technical and non-technical audiences.
• Passion for innovation with the ability to balance technical excellence against commercial delivery.