AI Deployment Strategist

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 office
• Salary: range to £130,000 p/a dependent on experience + excellent benefits

They 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.

You will be confident of dealing with stakeholders at a high level up to CEO level. Need to be able to have the confidence of identifying AI Automation opportunities across the business and also dealing with stakeholders in a collaborative and engaging way as they roll the product out to the business. Also, be nice to see CV’s from candidates that have worked in Tech or big Tech organisations or Financial but not essential

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 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 to hand off anything requiring deep infrastructure

• Own post-deployment adoption: training, feedback loops, and iteration

• Build a library of reusable agent components and playbooks

• Proactively surface new automation opportunities across the business

Key Skills

• Python & LLM agent frameworks (LangChain, CrewAI, LlamaIndex)

• Prompt engineering & RAG pipelines

• Business analysis & stakeholder management

• Process mapping & workshop facilitation

• Microsoft 365 & Microsoft Copilot No-code/low-code tooling (Zapier, Make)

Desirable Skills

• Experience in a deployment or implementation-focused technical role

• Familiarity with RPA tools

• Product management or solutions engineering background

• Claude Code, Claude Cowork, or Claude Skills

Experience

• 3–5 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 years

Qualifications

• Bachelor's degree in a relevant STEM field, or equivalent practical experience