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- Tasks: Lead the development of a cutting-edge AI platform and manage cloud infrastructure.
- Company: Join a leading UK fintech revolutionising small business lending.
- Benefits: Competitive salary, 20% bonus, hybrid work model, and career growth opportunities.
- Why this job: Shape the future of AI applications and make a real impact in fintech.
- Qualifications: Experience in Platform or Software Engineering with AWS expertise.
- Other info: Exciting opportunity to work with innovative technologies in a dynamic environment.
The predicted salary is between 80000 - 120000 £ per year.
Here at Burns Sheehan, we're exclusively partnered with a leading UK fintech that's transforming small business lending - processing billions in decisions annually. They've built a mature AI/ML team over the past 18 months and are now scaling their GenAI capabilities from proof‑of‑concept to production‑ready systems across the business. They're hiring an experienced Platform or Software Engineer to build and own the AI platform. This will involve the management of all the infrastructure, tooling, and cloud layer that enables data scientists and product teams to develop and deploy AI applications at scale.
What You'll Be Doing:
- Defining and executing the technical strategy for the company's AI platform infrastructure.
- Architecting and building scalable, secure AWS-based systems for hosting and serving AI models and applications.
- Developing tooling, frameworks, and governance systems to standardise AI development across teams.
- Guiding others on best practices across the stack for AI workloads.
- Evaluating and integrating third‑party AI tools alongside making build vs. buy decisions.
- Working with Product, Engineering, Security, and Legal to embed responsible AI practices into the platform.
What They're Looking For:
- Strong background in Platform or Software Engineering with proven AWS cloud platform experience.
- Hands‑on experience with Infrastructure as Code (Terraform, CloudFormation) and cloud‑native development.
- Python scripting proficiency at platform engineer level but an understanding of software development lifecycle and production system ownership.
- Interest or experience in GenAI infrastructure - RAG, vector databases, LLM platforms, or agent frameworks.
- Strong communication skills and ability to translate technical decisions into business outcomes.
This role is NOT an ML Engineering position - you won't be training models or building LLMs. It's focused on the platform layer that makes AI applications possible. If you're a platform-focused engineer with AWS experience who's curious about moving deeper into the AI space and wants to shape infrastructure from the ground up - get in touch to find out more.
Burns Sheehan Ltd will consider applications based only on skills and ability and will not discriminate on any grounds.
AI Platform Lead employer: Burns Sheehan
Contact Detail:
Burns Sheehan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Platform Lead
✨Network Like a Pro
Get out there and connect with folks in the fintech and AI space! 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 or can put in a good word for you.
✨Show Off Your Skills
When you land that interview, don’t just talk about your experience—show it! Bring along a portfolio or examples of projects you've worked on, especially those involving AWS, Python, or Terraform. This will help us see how you can contribute to our AI platform.
✨Ask Smart Questions
During interviews, ask insightful questions about the company's AI strategy and how they integrate responsible AI practices. This shows you're genuinely interested and helps us gauge your understanding of the role and its impact on the business.
✨Apply Through Our Website
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 love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace AI Platform Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS, Python, and Terraform. We want to see how your skills align with the AI platform role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how your background makes you a perfect fit. We love seeing genuine enthusiasm for AI and fintech!
Showcase Your Communication Skills: Since this role involves working with various teams, make sure to highlight your ability to translate technical jargon into business outcomes. We appreciate clear communicators who can bridge the gap between tech and non-tech folks!
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’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Burns Sheehan
✨Know Your Tech Stack
Make sure you’re well-versed in AWS, Python, Terraform, and Kubernetes. Brush up on how these technologies integrate into AI platforms, as you'll need to demonstrate your understanding of their roles in building scalable systems.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, especially related to platform engineering. Think about how you approached these problems and the outcomes, as this will highlight your ability to manage infrastructure effectively.
✨Understand the Business Impact
Be ready to explain how your technical decisions can drive business outcomes. This role is about translating complex tech into value for the company, so think about examples where your work has directly contributed to business success.
✨Communicate Clearly
Strong communication skills are key. Practice explaining technical concepts in simple terms, as you’ll need to collaborate with product, engineering, and legal teams. Being able to convey your ideas clearly will set you apart from other candidates.
