Lead Enterprise & Solution Architect

• Assess the existing architecture and define pragmatic target and transition architectures across application, data, integration and technology domains.
• Translate business capabilities and requirements into solution architectures, system boundaries, technology choices and architectural roadmaps.
• Define architecture principles, standards, reference architectures and technology guardrails and ensure their application throughout delivery.
• Assess complex and legacy landscapes, identifying dependencies, technical debt, architectural risks and modernization opportunities.
• Define data and integration architectures including data ownership, system-of-record principles, APIs, events and interoperability patterns.
• Design and review scalable, secure and maintainable solutions across modern cloud, platform and application architectures.
• Identify and architect meaningful uses of AI, Generative AI and agentic technologies, including their integration with enterprise applications, processes and data.
• Lead architecture decisions and design reviews, document key decisions and challenge unnecessary complexity or inappropriate technology choices.
• Evaluate technologies, platforms and vendor solutions and provide architectural input into sourcing and RFP processes.
• Provide architectural leadership throughout implementation, working closely with engineering teams and vendors to ensure architectural intent translates into working solutions.
• Extensive experience as an Enterprise Architect, Solution Architect, Lead Architect or in a comparable senior architecture role.
• Broad expertise across enterprise, application, data, integration and technology architecture, combined with a strong understanding of modern software engineering.
• Proven experience with complex enterprise landscapes, legacy modernization and transformation programs.
• Strong knowledge of APIs, integration patterns, distributed systems, cloud architectures, data modelling and modern engineering practices.
• Practical knowledge of Generative AI and agentic AI architectures, including LLMs, RAG, AI agents, orchestration, enterprise data integration, evaluation and governance.
• Experience defining architecture principles, target architectures, reference patterns and Architecture Decision Records and conducting architecture and design reviews.
• Strong understanding of non-functional requirements including security, privacy, resilience, performance, scalability, operability and cost.
• Experience working across multiple teams and vendors and communicating architectural decisions effectively to both technical and business stakeholders.
• You should be comfortable moving between business capabilities, processes, data models, system boundaries, APIs, cloud platforms and AI architectures. We value pragmatic architectural judgement over methodology for its own sake: the ability to simplify, make clear trade-offs and turn architecture into solutions that can actually be delivered.

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