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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: Strong AWS experience and background in Platform or Software Engineering required.
- Other info: Dynamic team environment with a focus on responsible AI practices.
The predicted salary is between 72000 - 84000 £ per year.
Here at Burns Sheehan, we are exclusively partnered with a leading UK fintech that is transforming small business lending - processing billions in decisions annually. They have 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 are hiring an experienced Lead Platform 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 are a platform-focused engineer with AWS experience who is curious about moving deeper into the AI space and wants to shape infrastructure from the ground up - get in touch to find out more.
AI Platform Engineer employer: Burns Sheehan
Contact Detail:
Burns Sheehan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Platform Engineer
✨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. We all know that sometimes it’s not just what you know, but who you know that can help land that dream job.
✨Show Off Your Skills
Don’t just talk about your experience; showcase it! Create a portfolio or GitHub repo with projects that highlight your AWS skills and platform engineering prowess. We want to see what you can do, so make it easy for potential employers to check out your work.
✨Ace the Interview
Prepare for those interviews by brushing up on common questions related to platform engineering and AWS. We recommend practising your answers with a friend or even in front of a mirror. Confidence is key, and being well-prepared will help you shine!
✨Apply Through Our Website
When you find a role that excites you, don’t hesitate! Apply through our website to ensure your application gets the attention it deserves. We’re here to help you navigate the process and increase your chances of landing that AI Platform Engineer position.
We think you need these skills to ace AI Platform Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the AI Platform Engineer role. Highlight your AWS experience and any relevant projects you've worked on, especially those involving Infrastructure as Code.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI and platform engineering. Share specific examples of how you've contributed to similar projects in the past and how you can add value to our team.
Showcase Your Technical Skills: Don’t just list your technical skills; demonstrate them! If you have experience with Terraform or Python, mention specific projects where you applied these skills. This helps us see your practical knowledge in action.
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 on joining our team!
How to prepare for a job interview at Burns Sheehan
✨Know Your Tech Inside Out
Make sure you’re well-versed in AWS and Infrastructure as Code tools like Terraform or CloudFormation. Brush up on your Python scripting skills too, as you'll need to demonstrate your technical prowess during the interview.
✨Showcase Your AI Passion
Since this role is all about building the platform for AI applications, express your interest in GenAI infrastructure. Be ready to discuss any relevant projects or experiences that highlight your enthusiasm for AI technologies.
✨Prepare for Scenario Questions
Expect questions that assess your problem-solving skills and decision-making process. Think of examples where you've had to make build vs. buy decisions or how you've implemented best practices in previous roles.
✨Communicate Clearly
Strong communication skills are key for this position. Practice explaining complex technical concepts in simple terms, as you’ll need to translate technical decisions into business outcomes for various stakeholders.
