AI Deployment Strategist
• 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 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)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) AI AI AI artificial Intelligence london bristol bristol london uk hybrid finance banking fintech fintech artificial Intelligence artificial Intelligence
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