Average Enterprise Architect salary in City of London

Are you an accomplished Enterprise Architect ready to lead a major core insurance platform transformation for a global organization? This is a high-impact Enterprise Architect role where you’ll define and drive the architecture strategy for one of the industry’s most significant modernization programs.You’ll take ownership of enterprise-level architecture design, ensuring technology strategy aligns seamlessly with business objectives. This role spans multi-year roadmaps, core insurance domains, and modern technology stacks, requiring a balance of strategic vision and hands-on leadership.Picture yourself influencing architecture decisions at the highest level, introducing cloud-native solutions, AI-driven capabilities, and advanced integration patterns. You’ll bridge engineering and architecture teams, enforce standards and best practices, and ensure compliance with risk, cybersecurity, and regulatory frameworks. Your expertise will shape the future of insurance technology ecosystems.Interested, then my client is looking for someone with: Extemsive experience in enterprise or solution architecture, ideally within insurance or financial services (10 years+)Proven leadership in core system transformations and architecture modernizationStrong technical fluency across cloud, orchestration, integration, AI, and insurance platforms (PAS, CMS, Pricing)Solid experience in data domains (MDM, analytics, ML, pipelines)Deep understanding of insurance processes, products, and regulatory requirementsAbility to communicate complex concepts to senior stakeholdersBackground in agile methodologies and cross-functional delivery This is a Fantastic opportunity offering the chance to set the architectural direction for a global transformation program. Ready to lead at scale? Let’s connect.

Are you experienced AI Architect with strong experience with Microsoft Copilot? If so I have an exciting opportunity.I am currently working with a client who is looking to bring onboard an AI Enterprise Solution Architect on a contract basis until the end of March 2026, they are looking for someone who can start ASAP the pay for the role is up to around £800 p/d inside of IR35. The role is hybrid with 1 day on site at their London office. I have added the required info below, if this is of interest please let me know.Experience designing, deploying, and servicing modern cloud data technologies to deliver a flexible, resilient and scalable solution (LEAD)Experience designing, deploying, and servicing modern cloud data technologies with a secure and cost-effective design (e.g. Azure services including VNets, gateways, Service Bus, Event Grid, Synapse, Blob Storage, Azure Monitor, Azure Machine Learning, Azure Foundry, Azure Copilot Studio, Function Apps, API management, authentication, and Logic Apps.) to deliver a resilient and scalable platform (LEAD)Demonstrable experience in data technologies and development processes best practices (LEAD)Active Microsoft Certification AZ-305Experience monitoring impact, service quality or value delivered from work, platform and serviceExperience prioritising development time, effort or financial resource across a portfolio of work

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