At a Glance
- Tasks: Identify AI opportunities, build solutions, and drive adoption across teams.
- Company: Global FinTech leader with a dynamic hybrid work culture.
- Benefits: Competitive salary, excellent benefits, and flexible working arrangements.
- Other info: Exciting career growth in a fast-paced, collaborative environment.
- Why this job: Make a real impact by transforming business challenges into innovative AI solutions.
- 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.
AI Deployment Strategist in Newport 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
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Prepare for those interviews by practising common questions and scenarios related to AI deployment. We suggest doing mock interviews with friends or using online platforms to get comfortable with your responses.
✨Tip Number 3
Showcase your skills! Create a portfolio of projects that highlight your experience with Python and AI frameworks. We can’t stress enough how important it is to demonstrate your hands-on abilities to potential employers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always on the lookout for talented individuals like you to join our team.
We think you need these skills to ace AI Deployment Strategist in Newport
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 hands-on 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 past work that align with what we’re looking for.
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 candidates who can demonstrate their ability to translate complex challenges into actionable strategies!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of being considered. It’s super easy, and you’ll be able to keep track of your application status. Plus, we can’t wait to see what you bring to the table!
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. Brush up on your knowledge of LangChain, CrewAI, and LlamaIndex. Being able to discuss specific projects where you've used these tools will show that you can hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've identified AI automation opportunities in previous roles. Be ready to explain your thought process during discovery sessions and how you translated complex business problems into actionable solutions. This will demonstrate your hands-on approach and strategic thinking.
✨Engage with Stakeholders
Since stakeholder management is key for this role, think of ways to illustrate your experience in running workshops and gaining trust from sceptical teams. Prepare to discuss how you’ve facilitated discussions and driven adoption of new technologies in past projects.
✨Be Ready for Technical Questions
Expect some technical questions that assess your ability to design and build AI agents and workflows. Practice explaining your approach to building solutions and how you would handle post-deployment feedback loops. This will help you convey your technical prowess and adaptability.
