Solutions Architect in South

Overview

Job Description:

The Opportunity – Lynx Recruitment is supporting a global consultancy looking for a Solution Architect (AI & Cloud) to help design and deliver modern, cloud-first digital services that directly impact the lives of UK. This role is ideal for an experienced cloud architect ready to expand into AI-led architecture, with a stronger focus on data, automation, and intelligent systems. You’ll play a key role in shaping scalable, secure, and user-centred solutions while championing the adoption of AI where it delivers real value.

Working within multidisciplinary teams and government-aligned delivery environments, you’ll balance innovation with governance, resilience, and long-term sustainability.

• Design end-to-end cloud-architectures across applications, data, integration, and platforms.
• Apply cloud-first and user-centred design principles to build scalable and secure services.
• Translate business needs into clear technical designs and architectural decisions.
• Shape data platforms, integrations, and automation capabilities.
• Support integration of AI-enabled solutions (e.g. automation, analytics, LLM-based services).
• Collaborate with engineers, analysts, and delivery teams to ensure solutions are delivery-ready.
• Define and assure non-functional requirements (performance, security, resilience, scalability).
• Provide architectural oversight across delivery and live service environments.

• Proven experience as a Solution Architect delivering cloud-based services (AWS, Azure, or similar).
• Strong understanding of modern architecture patterns (APIs, integrations, data platforms).
• Experience in public sector or regulated environments.
• Interest or early experience in AI / automation integration.
• Ability to balance innovation with compliance and delivery pragmatism.
• Strong stakeholder communication skills across technical and non-technical audiences.
• Familiarity with frameworks such as TOGAF (applied practically).
• A growth mindset, with interest in AI-enabled and data-driven architecture.

Notes:
This description retains the original role language and focus on responsibilities, qualifications, and expectations. There are no application-process items, unrelated content, or metadata retained.