BPM Tech

Solutions Architect with a strong AI/Cloud specialism for a leading healthcare provider Remote (UK-based client) Contract Senior Level (8+ years) Outside IR35Duration: Start May until end of 2026We'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 OpportunityThis 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.