At a Glance
- Tasks: Identify and build AI automation solutions that drive real business impact.
- Company: Global FinTech leader with a dynamic, hybrid work culture.
- Benefits: Competitive salary up to £130,000 plus excellent benefits.
- Other info: Flexible working environment with opportunities for professional growth.
- Why this job: Be at the forefront of AI innovation and transform business processes.
- Qualifications: 3-5 years in tech roles with strong Python and AI framework skills.
The predicted salary is between 80000 - 130000 £ per year.
Our client is a Global FinTech with offices around the world including 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: £80,000 - £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.
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.
AI Deployment Strategist in Almondsbury employer: Emponics
As a leading Global FinTech, our client offers an exceptional work environment in vibrant cities like Bristol and London, where innovation meets collaboration. Employees enjoy a hybrid work model that promotes flexibility, alongside competitive salaries and comprehensive benefits, fostering both personal and professional growth. With a strong emphasis on hands-on project involvement and cross-departmental teamwork, this role provides a unique opportunity to make a tangible impact in the rapidly evolving field of AI.
StudySmarter Expert Advice🤫
We think this is how you could land AI Deployment Strategist in Almondsbury
✨Tip Number 1
Network like a pro! Reach out to folks in the FinTech space, especially those working with AI. Use LinkedIn to connect and engage with them. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those using Python and LLM frameworks. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions related to AI deployment and stakeholder management. Be ready to discuss how you've tackled business problems with tech solutions. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace AI Deployment Strategist in Almondsbury
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the AI Deployment Strategist role. Highlight your experience with Python, LLM frameworks, and any relevant projects that showcase your ability to build and deploy AI solutions.
Showcase Your Technical Skills:Don’t just list your skills; demonstrate them! Include specific examples of how you've used Python and automation tools in past roles. This will help us see your hands-on experience and problem-solving abilities.
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language to explain your experiences and how they relate to the responsibilities of the role. We appreciate a well-structured application that gets to the point!
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it makes the process smoother for everyone involved!
How to prepare for a job interview at Emponics
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and the LLM frameworks mentioned in the job description, like LangChain and CrewAI. Be ready to discuss specific projects where you've built AI solutions, as this will show your hands-on experience.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've identified and scoped AI automation opportunities in previous roles. Think about the challenges you faced and how you overcame them, as this will demonstrate your ability to translate business problems into actionable solutions.
✨Engage with Stakeholders
Since stakeholder management is key for this role, practice how you would run a discovery workshop. Be prepared to discuss how you build trust with sceptical teams and how you ensure everyone is on board with the project goals.
✨Be Ready for Hands-On Questions
Expect technical questions that require you to think on your feet. Brush up on your knowledge of prompt engineering and RAG pipelines, and be prepared to explain how you would approach building an AI agent from scratch.
