About this role
Salary: £? - ? per year
Requirements: 15+ years of experience in software engineering, architecture, or platform leadership8+ years of experience delivering AI/ML platforms into productionProven experience architecting and deploying Agentic AI, LLM, and Generative AI solutions at enterprise scaleStrong experience with RAG and LLM application architecturesExperience in banking, financial services, or another highly regulated environmentExperience leading large engineering teams and complex technology transformationsTrack record of taking AI platforms from strategy and architecture through to production and operationalisationStrong executive stakeholder engagement and ability to translate AI capabilities into measurable business outcomesRelevant technical experience across Agentic AI and GenAI, multi-agent systems, prompt engineering, Responsible AI, and AI evaluationFamiliarity with frameworks such as LangChain, LangGraph, Semantic Kernel, or AutoGenExperience with cloud AI platforms such as Azure AI Foundry, Azure OpenAI, AWS Bedrock, SageMaker, Google Vertex AI, or hybrid and multi-cloud environmentsEngineering and platform skills in languages and tools such as Python, Java, Scala, TypeScript, SQL, Kubernetes, Docker, Terraform, Bicep, CI/CD, or infrastructure as codeExperience with LLMOps, MLOps, model governance, AI security and guardrails, observability, and monitoring and evaluation frameworksRelevant qualifications may include a masters degree in Computer Science, AI, Data Science, or a related discipline; AWS Solutions Architect Professional; AWS AI/ML Specialty; Microsoft Azure AI Engineer; Google Professional ML Engineer; or executive AI or Machine Learning qualifications Responsibilities: Own the architecture for enterprise AI capabilities, including Agentic AI platforms, assistants, copilots, and autonomous workflowsArchitect multi-agent systems incorporating reasoning, planning, memory, orchestration, and tool integrationDesign production-grade LLM and RAG architecturesShape intelligent search, knowledge assistants, workflow automation, and decision-support systemsLead enterprise LLMOps, MLOps, observability, and AI governanceDefine AI security, guardrails, evaluation, and Responsible AI approachesDevelop cloud AI platform and hybrid or multi-cloud architecturesProvide technical leadership across architects, engineers, and data scientistsWork with senior stakeholders to shape AI strategy, roadmaps, investment priorities, and transformation programmes Technologies: Agentic AIAIAWSArchitectAzureCI/CDCloudDockerSupportJavaKubernetesLLMMachine LearningMLOpsPythonRAGSQLScalaSecurityTerraformTypeScript More:
Were seeking a Lead Agentic AI Architect on behalf of a leading digital transformation consultancy, for a major enterprise AI transformation programme with a leading UK bank. This is a senior opportunity to define architecture, engineering standards, and delivery for next-generation Agentic AI and Generative AI solutions in a complex, highly regulated environment, taking initiatives from concept and roadmap through to secure, scalable production. The role is based in London, Birmingham, or Sheffield, whichever is closest, with three days per week on site. It is a six-month rolling contract, paying £710 per day inside IR35.
last updated 40 week of 2026