AI Specialist

capitalontap · London · London, Greater London, England, United Kingdom

<div class="content-intro">We’re Capital on Tap 👋 💳 Capital on Tap started because small businesses were underserved. Big banks were slow, their products weren't fit for purpose, and small business owners often couldn't access what they needed. We set out to fix that. Today we're a financial platform - not just a credit card company. We offer a best-in-class business credit card, SME-focused spend management platform, a savings product that hit £1 billion in funds within its first year, and a growing suite of tools and financial products that make running a small business easier.  1,000+ employees, £20bn in annual card spend, 200,000+ customers, 17,000+ Trustpilot reviews averaging 4.7 stars, and we're profitable. We’ve done a pretty good job so far, but we’re just getting started! </div>📍 London (Moorgate) | 🏢 3 Days in Office The Role Most companies talk about AI. We're building the infrastructure to make it stick. This role exists to close the gap between AI's potential and what our teams actually use every day. You'll embed with a team, find the highest-impact opportunities, build the tools that solve them, and train the team to run them long after you've moved on. This isn't a research or strategy role. You'll be shipping automations, MCPs, plugins, agentic workflows, and the training that goes with them. You'll be measured on impact and weekly active users, not on launches or tools rolled out. If you'd rather be doing than advising, this is for you. What You’ll Be Doing  <ul class="ak-ul" data-local-id="aa7c3881-72e3-4b2d-8c8f-8c0740e79824" data-indent-level="1"> <li style="font-family: verdana, geneva, sans-serif; font-size: 12pt;"> Analyse where AI can move the needle most. Map a team's processes end-to-end before proposing a single tool, and prioritise the workflows where AI can take real cost, time, or rework off the table. </li> <li style="font-family: verdana, geneva, sans-serif; font-size: 12pt;"> Build the right stack for the problem - production-grade agentic workflows that bridge LLMs, internal APIs, and case management tools, plus MCPs, Claude skills and plugins, n8n automations, and integrations with internal systems. You build it, debug it in production, and iterate live with users sitting next to you. </li> <li style="font-family: verdana, geneva, sans-serif; font-size: 12pt;"> Train the people who'll use it. Run hands-on sessions, write documentation people actually read, and coach AI champions inside every team you work with so they're self-sufficient before you move on. </li> <li style="font-family: verdana, geneva, sans-serif; font-size: 12pt;"> Roll out and measure. Active automations running unsupervised matter more than trainings delivered or pilots launched. Track weekly active AI users and impact per team, intervene when usage drops, and keep iterating until AI is part of how the team works. </li> <li style="font-family: verdana, geneva, sans-serif; font-size: 12pt;"> Maintain Capital on Tap's AI playbook. Document repeatable patterns, package them as reusable skills and templates, and make every engagement start faster than the last. </li> <li style="font-family: verdana, geneva, sans-serif; font-size: 12pt;"> Partner with senior stakeholders to decide where to point next, and what good looks like before you start. </li> </ul> We’re Looking For  <ul class="ak-ul" data-local-id="85db4a5e-b722-4437-88a4-ef5169384252" data-indent-level="1"> <li style="font-family: verdana, geneva, sans-serif; font-size: 12pt;">

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