About this role
Salary: £80,000 - 130,000 per year
Requirements: 3 to 5 years of experience in a role blending business problem-solving with hands-on technical building, such as solutions engineering, technical consulting, or deployment/implementation.Strong Python skills and experience with LLM agent frameworks such as LangChain, CrewAI, or LlamaIndex.Experience with prompt engineering and RAG pipelines.Strong business analysis and stakeholder management skills.Experience with process mapping and workshop facilitation.Comfortable using Microsoft 365 and Microsoft Copilot.Experience with no-code/low-code tools such as Zapier, Make, or Power Automate is preferred.Ability to design and build working AI agents and automation workflows independently.Familiarity with LLMs, tool/function calling, and integrating AI into real business workflows.Strong enough technically to assess feasibility and scope what is buildable.Commercially sharp enough to prioritise what is worth building.Proven ability to lead discovery workshops and translate complex business problems into clear, executable briefs.Comfortable owning projects end to end from discovery through build, deployment, and adoption.Excellent stakeholder management skills, including the ability to work with sceptical teams and earn trust quickly.A background in software engineering for 1 to 2 years is desirable.Bachelors degree in a relevant STEM field or equivalent practical experience.Experience in an implementation-focused technical role is desirable.Familiarity with RPA tools is desirable.Product management or solutions engineering background is desirable.Experience with Claude Code, Claude Cowork, or Claude Skills is a plus. Responsibilities: Partner with business units to identify and scope high-impact AI and automation opportunities.Lead discovery and scoping sessions, then build the solution yourself.Design and develop AI agents and workflows using Python and LLM frameworks.Work with the AI Deployment Engineer on anything requiring deep infrastructure.Own post-deployment adoption, including training, feedback loops, and iteration.Build a library of reusable agent components and playbooks.Proactively surface new automation opportunities across the business.Translate business problems into working AI solutions across teams such as operations, finance, sales, and support.Collaborate closely with stakeholders to move solutions from discovery to deployment and adoption. Technologies: AIClaude CodeCopilotEmbeddedSupportLLMMicrosoft 365PythonRPAZapierOffice 365 More:
We are a global FinTech with offices around the world, including Bristol and London. This AI Deployment Strategist role can be based in either our Bristol or London office, with a hybrid working model of around three days per week in the office and some flexibility for the right candidate. We offer a salary of £80,000 to £130,000 per annum depending on experience, plus excellent benefits. This is an embedded builder-consultant role for someone who enjoys working closely with business teams to identify AI automation opportunities and then building and shipping solutions alongside them.
last updated 29 week of 2026