AI Deployment Strategist
Job Description
Our client is a Global FinTech with offices around the world inc Bristol and London in the UK . This AI Deployment Strategist role can be based out of Bristol or London offices . Ideally 3 days per week in the office but we could be a little bit more flexible for the ideal candidate. Location: Bristol or London - Hybrid, 3 days in the officeSalary: range to £130,000 p/a dependent on experience + excellent benefitsThey are looking for an AI Deployment Strategist . An embedded builder-consultant who partners with business units to identify AI automation opportunities and builds them. You will lead discovery, develop agents, own deployment, and drive adoption across the organisation. This is not a strategy-only role; you will be building and shipping solutions alongside stakeholders.Working across teams such as ops, finance, sales, and support, you will translate business problems into working AI solutions, collaborating closely with the AI Deployment Engineer where deep infrastructure is required.Job ResponsibilitiesPartner with business units to identify and scope high-impact AI and automation opportunitiesLead discovery and scoping sessions, then build the solution yourselfDesign and develop AI agents and workflows using Python and LLM frameworksWork with the AI Deployment Engineer to hand off anything requiring deep infrastructureOwn post-deployment adoption: training, feedback loops, and iterationBuild a library of reusable agent components and playbooksProactively surface new automation opportunities across the businessKey SkillsPython & LLM agent frameworks (LangChain, CrewAI, LlamaIndex)Prompt engineering & RAG pipelinesBusiness analysis & stakeholder managementProcess mapping & workshop facilitationMicrosoft 365 & Microsoft Copilot No-code/low-code tooling (Zapier, Make)Desirable SkillsExperience in a deployment or implementation-focused technical roleFamiliarity with RPA toolsProduct management or solutions engineering backgroundClaude Code, Claude Cowork, or Claude SkillsExperience35 years in a role blending business problem-solving with hands-on technical building solutions engineering, technical consulting, or a deployment/implementation role.Able to design and build working AI agents and automation workflows independently using agent frameworks (LangChain, CrewAI, LlamaIndex, or similar) and / or tools such as Microsoft Copilot Studio, Claude Skills etc.Strong enough technically to assess feasibility and scope what is buildable; commercially sharp enough to prioritise what is worth building.Familiarity with LLMs, RAG pipelines, tool/function calling, and integrating AI into real business workflows.Proven ability to lead discovery workshops and translate complex business problems into clear, executable briefs.Comfortable owning a project end-to-end: discovery build deploy adoption.Excellent stakeholder management able to run a workshop with a sceptical ops team and earn trust quickly. Comfortable with Microsoft 365 and Microsoft Copilot. Familiarity with AI productivity tools including Claude Code, Claude Cowork, and Claude Skills is a plus.Nice to have: no-code/low-code tools (Zapier, Make, Power Automate) for rapid prototyping alongside coded solutions.Background or experience as software engineer for 1-2 yearsQualificationsBachelor's degree in a relevant STEM field, or equivalent practical experienceTPBN1_UKTJ