At a Glance
- Tasks: Identify AI opportunities, build solutions, and drive adoption across teams.
- Company: Global FinTech leader with a dynamic work culture.
- Benefits: Competitive salary, hybrid work model, and excellent perks.
- Other info: Great career growth potential in a fast-paced industry.
- Why this job: Make a real impact by deploying innovative AI solutions in a collaborative environment.
- 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 Bath employer: Emponics
Join a leading Global FinTech that champions innovation and collaboration, offering a dynamic work culture in either Bristol or London. With a competitive salary and excellent benefits, this role as an AI Deployment Strategist provides ample opportunities for professional growth and hands-on experience in deploying cutting-edge AI solutions. Embrace a flexible hybrid working model that values your contributions while fostering a supportive environment for continuous learning and development.
StudySmarter Expert Advice🤫
We think this is how you could land AI Deployment Strategist in Bath
✨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 role.
✨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 love seeing real-world applications of your work, so make sure to include any relevant case studies.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate candidates like you!
We think you need these skills to ace AI Deployment Strategist in Bath
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to 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 your skills match what we're looking for!
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. Let us know what excites you about working with our team.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled complex business problems in the past. We love candidates who can translate challenges into actionable solutions, so don't hold back on sharing your success stories!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you're keen to join our team at StudySmarter!
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. Be ready to discuss how you've used these tools in past projects or how you would approach building AI agents.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've identified and solved business problems using AI solutions. Think about specific instances where you led discovery sessions or built automation workflows. This will demonstrate your hands-on experience and ability to translate complex issues into actionable solutions.
✨Engage with Stakeholders
Since stakeholder management is key for this role, practice how you would run a workshop with a sceptical team. Prepare to discuss your strategies for earning trust and facilitating collaboration across different business units. Highlight any past experiences where you successfully navigated similar challenges.
✨Be Ready for Technical Questions
Expect technical questions that assess your understanding of AI deployment and automation. Be prepared to explain concepts like RAG pipelines and prompt engineering. It’s also a good idea to think through potential scenarios where you might need to assess feasibility and scope for new projects.
