At a Glance
- Tasks: Identify and build AI automation solutions that drive real business impact.
- Company: Global FinTech leader with a dynamic, collaborative culture.
- Benefits: Competitive salary, excellent benefits, and hybrid work flexibility.
- Other info: Opportunity for career growth in a fast-paced, tech-driven environment.
- Why this job: Be at the forefront of AI innovation and transform business processes.
- Qualifications: Experience in Python, AI frameworks, and strong stakeholder management 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
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.
Locations
AI Deployment Strategist in Newport, Wales 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, competitive salaries, and a comprehensive benefits package, alongside ample opportunities for professional growth and development in the rapidly evolving field of AI. Join a culture that values hands-on problem-solving and empowers you to make a tangible impact across various business units.
StudySmarter Expert Advice🤫
We think this is how you could land AI Deployment Strategist in Newport, Wales
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. 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 and automation solutions. This will give you an edge during interviews and demonstrate your hands-on experience in building and deploying AI solutions.
✨Tip Number 3
Prepare for those interviews! Research the company and its AI initiatives, and be ready to discuss how you can contribute. Practice common interview questions related to AI deployment and stakeholder management to boost your confidence.
✨Tip Number 4
Apply through our website! We’ve got loads of exciting opportunities waiting for you. Plus, applying directly can sometimes get your application noticed faster than through other channels.
We think you need these skills to ace AI Deployment Strategist in Newport, Wales
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the AI Deployment Strategist role. Highlight your experience with Python, LLM frameworks, and any relevant projects you've worked on. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and automation, and how your background makes you the perfect fit for this role. Don’t forget to mention specific examples of your work that align with the job description.
Showcase Your Problem-Solving Skills:In your application, be sure to highlight instances where you've successfully identified and solved business problems using AI solutions. We love seeing candidates who can translate complex challenges into actionable strategies, so share those stories!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all your materials in one go. Plus, we love seeing applications come through our own channels!
How to prepare for a job interview at Emponics
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI frameworks like LangChain and CrewAI. Be ready to discuss how you've used Python to build AI solutions in the past, as this role is all about hands-on implementation.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've translated complex business problems into actionable AI solutions. Think about specific projects where you led discovery sessions and built workflows, as this will demonstrate your ability to own a project from start to finish.
✨Engage with Stakeholders
Since stakeholder management is key, practice how you'll communicate with different teams. Be ready to share strategies for earning trust and facilitating workshops, especially with sceptical teams. This will show you're not just technically savvy but also a great collaborator.
✨Be Ready for Technical Questions
Expect some deep dives into your technical skills, especially around RAG pipelines and no-code/low-code tools. Brush up on your knowledge of Microsoft 365 and Copilot, and be prepared to discuss how these tools can enhance AI deployment in a business context.
