AI Solutions Architect - up to 120K+Benefits - Hybrid/London
Reference: BBBH3712_1770398629AI Solutions Architect (Innovation & GenAI) Salary: Up to 120,000 + Benefits Location: Hybrid - 3 days per week onsite in London Working Hours: 40 hours per weekA globally established organisation is seeking an AI Solutions Architect to lead the design of innovative, cloud-native AI architectures that support rapid experimentation while maintaining a clear path to enterprise-scale delivery. This is a senior, hands-on architecture role focused on shaping proof-of-concepts, MVPs and scalable AI platforms that deliver tangible business value.
The AI Solutions Architect role is suited to an experienced architect who combines deep technical expertise with strategic thinking, enjoys working in fast-moving environments, and can guide teams from early ideation through to production-ready solutions.
Responsibilities for the AI Solutions Architect: Design pragmatic, fit-for-purpose architectures for AI PoCs and MVPs that can be delivered within short innovation cycles while remaining production-awareProvide technical leadership during client workshops, discovery sessions and ideation phases, assessing feasibility in real timeDevelop and maintain reusable reference architectures, patterns and templates to accelerate AI solution deliveryEvaluate emerging AI tools, platforms and services, making informed build-versus-buy decisionsDesign cloud-native architectures using serverless and PaaS services to enable rapid deployment, cost control and scalabilityDefine lightweight integration approaches connecting AI solutions with enterprise data sources, systems and APIsEstablish security, governance and compliance standards for rapid AI development, ensuring data protection and responsible useDesign AI architectures with clear pathways to production scaling, documenting trade-offs and technical decisionsMentor engineers and developers through architectural guidance, reviews and best-practice sharingBuild architectural knowledge across multiple domains to support diverse use cases and enterprise contextsAlign solutions with established enterprise standards and architectural principlesEssential Skills for the AI Solutions Architect: Strong expertise in Python and JavaScriptHands-on experience with backend frameworks and modern frontend frameworksDeep knowledge of Generative AI and agent-based AI frameworks including RAG and orchestration patternsStrong experience working with vector databases and AI-specific data storesSolid understanding of AI and ML models, LLMs and generative AI architecturesExperience implementing governance frameworks for model selection, deployment and lifecycle managementHands-on experience with AI-assisted development toolsStrong knowledge of cloud AI and ML platforms and associated architecture patternsExperience designing and managing APIs including REST and GraphQLStrong understanding of microservices and serverless architecturesPractical experience with DevOps and MLOps practices including CI/CD pipelinesKnowledge of security frameworks, identity management and authentication standardsDesirable Skills for the AI Solutions Architect: Experience with enterprise integration patterns and event-driven architecturesExposure to data engineering and data platform architecturesExperience with Infrastructure as Code toolsIf you are an AI Solutions Architect with strong full-stack capability and a passion for delivering enterprise-grade AI solutions, please apply in the immediate instance.