AI Platform Lead

Burns Sheehan; Greater London; Hybrid; GBP 100,000 - 110,000; Full time

Job summary

A leading UK fintech company is seeking an AI Platform Lead with expertise in AWS and infrastructure management. In this hybrid role, you'll define the technical strategy for the AI platform and build secure AWS-based systems for AI applications. Ideal candidates will have strong engineering backgrounds and experience with Infrastructure as Code tools like Terraform. This position focuses on creating the infrastructure necessary for AI applications, offering an exciting opportunity to shape technology from the ground up.

Benefits

20% Bonus

Qualifications

• Proven experience in Platform or Software Engineering.
• Hands-on experience with AWS and cloud-native development.
• Ability to implement Infrastructure as Code strategies.

Responsibilities

• Define and execute technical strategy for AI platform infrastructure.
• Architect and build secure AWS-based systems for AI models.
• Develop tooling and frameworks for standardizing AI development.

Skills

AWS cloud platform experience

Infrastructure as Code (Terraform)

Python scripting proficiency

Communication skills

GenAI infrastructure experience

Tools

Terraform

CloudFormation

Job description

AI Platform Lead | £100,000 - £110,000 + 20% Bonus | Hybrid - 2 Days per Week in London

£100,000 + 20% Bonus

London - 2 days a week in office

AWS, Python, Terraform, Kubernetes, RAG / GenAI interest

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.