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, excellent benefits, and flexible working arrangements.
- Other info: Opportunity for career growth in a fast-paced, innovative environment.
- Why this job: Join a cutting-edge team and shape the future of AI in finance.
- Qualifications: 3-5 years in tech roles, strong Python skills, and business problem-solving experience.
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: London or Bristol - 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 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 strong focus on professional development, ensuring that you can grow your skills while making a meaningful impact through AI solutions. With a culture that values creativity and teamwork, this is an ideal place for those looking to thrive in the fast-paced world of financial technology.
StudySmarter Expert Advice🤫
We think this is how you could land AI Deployment Strategist
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the FinTech scene, especially those working with AI. Attend meetups, webinars, or even just grab a coffee with someone in the industry. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! When you get the chance to chat with potential employers, be ready to discuss your hands-on experience with Python and LLM frameworks. Share specific examples of how you've tackled business problems with AI solutions – it’ll make you stand out!
✨Tip Number 3
Don’t just apply – engage! When you find a role that excites you, reach out to the hiring manager or team members on LinkedIn. Ask insightful questions about the role and express your enthusiasm for the company. This can really help you get noticed!
✨Tip Number 4
Keep learning and adapting! The AI field is always evolving, so stay updated on the latest trends and tools. Consider taking online courses or certifications related to AI deployment and automation. This shows you're committed and ready to hit the ground running!
We think you need these skills to ace AI Deployment Strategist
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 achievements and how they relate to the responsibilities of the role. We appreciate brevity but also want to see your personality shine through!
Apply Through Our Website:We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
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 role is all about 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 how you translated complex business problems into actionable solutions, as this will demonstrate your ability to partner effectively with business units.
✨Engage with Stakeholders
Since stakeholder management is key, practice how you would run a workshop or discovery session. Be prepared to discuss how you’ve earned trust from sceptical teams in the past and how you plan to facilitate collaboration across departments.
✨Demonstrate Your End-to-End Ownership
Be ready to talk about your experience owning projects from discovery through to deployment and adoption. Highlight any feedback loops or training sessions you've led post-deployment, as this shows you understand the full lifecycle of AI solutions.
