AI Solutions Architect - up to 120K+Benefits - Hybrid/London
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Role details
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Job description
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
Requirements
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.
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