AI Deployment Strategist

Our client is a global fintech with offices across the world, including Bristol and London in the UK. The AI Deployment Strategist role can be based in either Bristol or London.

Ideally, the role requires a hybrid schedule of about three days in the office each week, though the ideal candidate may be asked to be a little more flexible.

The AI Deployment Strategist is an embedded builder‑consultant who partners with business units to identify AI automation opportunities and builds the solutions. This is not a strategy‑only role; you will lead discovery, develop AI agents, own deployment, and drive adoption across the organisation.

Location:

London or Bristol – Hybrid (3 days in the office). Salary: £80,000‑£130,000 per annum, dependent on experience, plus excellent benefits.

• 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.

• Python and LLM agent frameworks (Lang Chain, CrewAI, Llama Index).
• Prompt engineering and RAG pipelines.
• Business analysis and stakeholder management.
• Process mapping and workshop facilitation.
• Microsoft 365 and Microsoft Copilot no‑code/low‑code tooling (Zapier, Make).

• Experience in a deployment or implementation‑focused technical role.
• Familiarity with RPA tools.
• Product management or solutions engineering background.
• Experience with Claude Code, Claude Cowork or Claude Skills.

• 3–5 years in a role blending business problem‑solving with hands‑on technical building (solutions engineering, technical consulting or similar).
• Ability to design and build working AI agents and automation workflows independently using agent frameworks and/or tools such as Microsoft Copilot Studio or Claude Skills.
• Strong technical judgment to assess feasibility and prioritise deliverables.
• Familiarity with LLMs, RAG pipelines, tool/function calling, and integrating AI into real business workflows.
• Proven ability to lead discovery workshops and translate complex 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 sceptical teams 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 such as Zapier, Make, Power Automate for rapid prototyping alongside coded solutions.
• Background or experience as a software engineer for 1–2 years.

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