Senior Enterprise AI Solutions Architect

An international organisation is accelerating its enterprise AI adoption and is looking for a Senior AI Solutions Architect to help design the technical foundation for future AI products and intelligent business services. This assignment sits at the intersection of architecture, cloud engineering and AI strategy, with a strong focus on building solutions that can scale across multiple business domains.You will become part of a central architecture function that works alongside data engineers, platform teams, security specialists and product owners. Rather than focusing on a single AI application, you will shape reusable architectural standards that support everything from generative AI initiatives to predictive analytics and automation platforms.The ideal consultant is comfortable translating business ambitions into production-ready technical architectures while ensuring governance, security and long-term maintainability remain part of every solution.

• Design end-to-end architecture for enterprise AI and machine learning solutions across cloud environments.
• Define reusable architecture patterns, integration standards and technical blueprints for AI services.
• Guide engineering teams on scalable implementation approaches for AI applications and intelligent automation.
• Review solution designs to ensure compliance with enterprise architecture, cybersecurity and data privacy standards.
• Support AI initiatives as they mature from experimentation into production-grade platforms.
• Produce architecture documentation, decision records and reference models for future AI projects.
• Collaborate with cloud, security, data and application teams to align AI solutions with the wider technology landscape.
• Participate in architecture governance boards and provide technical recommendations for strategic AI investments.

• 8+ years of experience in solution architecture, enterprise architecture or technical architecture.
• Proven experience designing AI, machine learning or data-driven platform architectures.
• Strong understanding of cloud-native architecture, APIs, event-driven integration and distributed systems.
• Experience working with AI infrastructure, model deployment and enterprise data platforms.
• Knowledge of architecture governance, technology standards and security-by-design principles.
• Ability to communicate architectural decisions to both technical teams and executive stakeholders.
• Previous involvement in enterprise AI strategy, technology roadmaps or digital transformation programmes is highly valued.