Solutions Architect

Overview

Solutions Architect with a strong AI/Cloud specialism for a leading healthcare provider. Remote (UK-based client) | Contract | Senior Level (8+ years). Outside IR35. Duration: Start May until end of 2026.

We’re partnering with a fast-growing, innovation-led technology business building cutting-edge AI and cloud solutions for forward-thinking organisations. They’re now looking for an AI Architect to design and deliver scalable, enterprise-grade AI/ML platforms, someone who can bridge deep technical expertise with real business impact.

The Opportunity

This isn’t a theory-heavy architecture role. You’ll be hands-on in shaping and delivering production-ready AI systems across complex cloud environments. You’ll work closely with engineering, data, and business teams to turn ideas into scalable, secure, and high-performing solutions. If you enjoy building, influencing, and solving real-world problems with AI, this is where you’ll thrive.

What You’ll Be Doing

• Architect and deliver enterprise AI/ML platforms in cloud environments
• Design scalable, serverless and containerised ML solutions
• Define Infrastructure-as-Code patterns (Terraform preferred)
• Build and optimise CI/CD pipelines with automation at the core
• Establish API standards, observability, and architectural best practices
• Translate business challenges into robust technical solutions
• Lead and mentor cross-functional teams
• Continuously evaluate and adopt new technologies

What They’re Looking For

• Strong experience designing and delivering cloud-native solutions
• Deep expertise in AWS, Azure or GCP
• Strong programming skills (Python and/or TypeScript)
• Proven experience with Infrastructure-as-Code (Terraform/CloudFormation)
• Experience building scalable AI/ML systems in production
• Strong understanding of modern software and data architecture patterns
• Ability to communicate complex ideas clearly to technical and non-technical stakeholders

Nice to have: Healthcare experience, event-driven architecture, advanced Terraform, Azure expertise, data platforms, or exposure to the full data science lifecycle.

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