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 collaborative environment.
- Why this job: Be at the forefront of AI innovation and transform business processes.
- Qualifications: 3-5 years in tech roles with strong problem-solving and building 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 London employer: Emponics Limited
Our client is a leading Global FinTech that offers an innovative and collaborative work environment in either Bristol or London, making it an excellent employer for an AI Deployment Strategist. With a strong focus on employee growth, the company provides ample opportunities for professional development, competitive salaries, and a flexible hybrid working model that promotes work-life balance. The culture encourages creativity and teamwork, allowing you to make a meaningful impact by translating business challenges into cutting-edge AI solutions.
StudySmarter Expert Advice🤫
We think this is how you could land AI Deployment Strategist in London
✨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 solutions. This is your chance to demonstrate your hands-on experience and problem-solving abilities, which are crucial for the AI Deployment Strategist role.
✨Tip Number 3
Prepare for interviews by practising common questions related to AI deployment and stakeholder management. Be ready to discuss your past experiences and how you've tackled challenges in previous roles—this will help you stand out!
✨Tip Number 4
Apply through our website! We make it easy for you to find the right opportunities. Plus, it shows you're genuinely interested in joining our team and helps us keep track of your application.
We think you need these skills to ace AI Deployment Strategist in London
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 align with 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. Share specific examples of how you've tackled business problems with tech solutions. We love a good story!
Showcase Your Technical Skills:Don’t hold back on showcasing your technical skills in your application. Mention your experience with tools like Microsoft Copilot and any no-code/low-code platforms you've used. We’re keen to see how you can build and ship solutions!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Emponics Limited
✨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 building and deployment.
✨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 or built workflows, and be ready to explain your thought process.
✨Engage with Stakeholders
This role requires excellent stakeholder management, so practice how you'll communicate with different teams. Be prepared to discuss how you've earned trust from sceptical stakeholders in the past and how you plan to facilitate workshops effectively.
✨Demonstrate Flexibility and Ownership
Highlight your ability to own a project from start to finish. Share experiences where you've taken initiative in the discovery, build, and deployment phases, and how you've ensured post-deployment adoption through training and feedback loops.
