AI Architect
AI Architect (Generative & Agentic AI)PermanentLocation: London (onsite twice a week)Salary: £80,000 - £95,000 Per Annum D.O.E Plus benefits & BonusShape the next generation of enterprise AIWe’re looking for a senior AI Architect to lead the design and delivery of cutting-edge Generative and Agentic AI solutions across complex enterprise environments.This is a client-facing, strategic role for someone who combines deep technical expertise with strong consulting instincts, someone who can move comfortably between vision, architecture, and real-world delivery.You’ll work on high-value transformation initiatives, helping organisations turn AI from experimentation into measurable business impact.The Role:As an AI Architect, you’ll operate at the intersection of strategy, solution design, and delivery.You will:Lead discovery and design of AI-led solutions aligned to business outcomesArchitect and scale GenAI, RAG, and Agentic AI systems in productionAdvise senior stakeholders on AI strategy, feasibility, and roadmapAct as a technical authority during bids, proposals, and client workshopsGuide engineering teams through complex implementationsThis role offers real ownership, from shaping ideas through to deploying production-grade AI platforms.Key Responsibilities:Client & Stakeholder EngagementPartner with commercial and delivery teams to qualify opportunities and shape compelling AI propositionsAct as a trusted advisor in workshops, discovery sessions, and solution design discussionsSupport RFI/RFP responses and client presentations with clear, credible technical directionSolution Architecture & DeliveryDesign enterprise-ready Data & AI architectures using modern cloud platforms (AWS, Azure, GCP)Architect RAG-based GenAI solutions, chatbots, and autonomous/agentic workflowsSelect appropriate models, frameworks, orchestration tools, and evaluation approachesEnsure solutions are secure, scalable, observable, and production-readyTechnical Leadership & InnovationLead and mentor teams of AI and software engineersDrive best practices across MLOps / LLMOps, governance, and AI observabilityContribute to reusable accelerators, reference architectures, and go-to-market offeringsWhat We’re Looking For:Essential Experience & Skills:Proven experience architecting solutions across Generative AI, Agentic AI, ML, and automationStrong understanding of: Prompt engineering RAG pipelines Model fine-tuning (supervised / unsupervised) MLOps / LLMOps and AI observabilityHands-on experience building enterprise RAG solutions using LLMs (e.g. OpenAI, Llama, Mistral, Claude) and vector databases (Pinecone, Weaviate, FAISS, etc.)Practical experience with GenAI frameworks such as LangChain, LlamaIndex, and agentic frameworks like AutoGen, CrewAI, LangGraphStrong Python expertise with AI/ML frameworks (PyTorch, TensorFlow) and NLP librariesExperience deploying AI solutions on at least one major cloud platform (AWS, Azure, or GCP)Solid software engineering foundations for building scalable, maintainable systemsExperience leading or guiding teams of AI / software engineersConsulting & Communication:Strong stakeholder management and communication skillsComfortable translating complex AI concepts into clear business valueExperience supporting proposals, bids, and client presentationsWhy Apply?Work on meaningful, enterprise-scale AI transformation programmesShape AI strategy and architecture, not just build proofs of conceptHigh visibility, senior-level role with real influenceContinuous exposure to modern AI tooling, frameworks, and delivery modelsStrong investment in learning, innovation, and professional development
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