AI & Platform Engineering Lead

Salary: £39,000 - 79,000 per year

Requirements:

• Strong background in software, product, platform, or cloud engineering.
• Proven experience building and scaling enterprise platforms, SaaS products, or reusable technology solutions.
• Experience designing and delivering AI/GenAI solutions, including LLM-based applications, AI orchestration frameworks, RAG, or AI platforms.
• Expertise in Azure and modern cloud-native architectures.
• Deep understanding of microservices, APIs, distributed systems, and enterprise integration.
• Strong DevSecOps mindset including CI/CD, Infrastructure as Code, automation, and engineering quality.
• Experience taking products or platforms from concept through to enterprise-scale adoption.
• Ability to confidently engage with senior technical stakeholders and enterprise clients.
• Hands-on technical credibility with the ability to challenge designs, guide architecture, and support complex engineering decisions.

Responsibilities:

• Define and lead the engineering roadmap for our Enterprise AI Platform.
• Transform AI and GenAI innovations into production-ready platform capabilities.
• Build scalable, secure, API-first, cloud-native solutions for enterprise adoption.
• Drive engineering excellence across architecture, DevSecOps, automation, observability, and platform reliability.
• Lead multi-disciplinary teams across AI, cloud, platform, data, and software engineering.
• Partner with clients, architects, and business stakeholders to accelerate AI adoption and platform growth.
• Provide hands-on technical leadership through architecture reviews, design guidance, and engineering best practices.

Technologies:

• AI
• API
• Azure
• CI/CD
• Cloud
• DevSecOps
• Support
• LLM
• RAG
• microservices

More:

We are UST and we are seeking an exceptional AI & Platform Engineering Lead to help evolve our Enterprise AI Platform into a scalable, secure, cloud-native product used across global enterprise clients. This is a senior, hands-on leadership role that combines deep engineering expertise with platform thinking, AI innovation, and commercial delivery. We offer a permanent role based in London in a hybrid working setup, starting as soon as possible. You will work closely with talented engineering teams, clients, architects, and business stakeholders while staying close to the code and architecture to make critical technical decisions.

last updated 34 week of 2026