Solutions Architect

Lynx Recruitment
Sw1E5Lb, United Kingdom
4 months ago
£60,000 – £80,000 pa
Applications closed

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Posted
14 May 2026 (4 months ago)
The Opportunity

Lynx Recruitment is supporting a global consultancy looking for aSolution Architect (AI & Cloud) to help design and deliver modern, cloud-first digital services that directly impact the lives of UK residents.

This role is ideal for an experienced cloud architect ready to expand into AI-led architecture, with a stronger focus ondata, 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 balanceinnovation with governance, resilience, and long-term sustainability.

What You’ll Be Doing
  • Designend-to-end cloud-native architectures across applications, data, integration, and platforms
  • Applycloud-first and user-centred design principles to build scalable and secure services
  • Translate business needs into cleartechnical designs and architectural decisions
  • Shapedata platforms, integrations, and automation capabilities
  • Support integration ofAI-enabled solutions (e.g. automation, analytics, LLM-based services)
  • Collaborate with engineers, analysts, and delivery teams to ensure solutions aredelivery-ready
  • Define and assurenon-functional requirements (performance, security, resilience, scalability)
  • Provide architectural oversight across delivery and live service environments
What We’re Looking For
  • Proven experience as aSolution Architect delivering cloud-based services (AWS, Azure, or similar)
  • Strong understanding ofmodern architecture patterns (APIs, integrations, data platforms)
  • Experience inpublic sector or regulated environments
  • Interest or early experience inAI / automation integration
  • Ability to balanceinnovation with compliance and delivery pragmatism
  • Strongstakeholder communication skills across technical and non-technical audiences
  • Familiarity with frameworks such asTOGAF (applied practically)
  • Agrowth mindset, with interest in AI-enabled and data-driven architecture

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