AI Platform Engineer

About us

The world is undergoing significant change, the greatest in generations.

At Motion Applied, our people and technologies are helping to create a more sustainable, intelligent and connected future. With more than 35 years of Formula One heritage and pedigree, we combine world-class engineering expertise with a relentless focus on innovation to solve complex challenges and deliver breakthrough performance for our customers.

Today, Motion Applied operates across multiple industries, applying advanced technology, software and engineering expertise to help organisations push the boundaries of performance, efficiency and reliability. From developing next-generation products to supporting critical customer programmes, our teams play an important role in enabling the future of mobility and intelligent systems.

Driven by legacy and powered by innovation, we are committed to creating an environment where talented people can grow, collaborate and make a meaningful impact while helping our customers achieve success.

ATLAS is evolving from a telemetry and engineering data platform into an intelligent engineering decision platform.

The AI Platform Engineer will lead the development of the foundational AI capabilities required to enable AI-powered workflows, engineering copilots, knowledge discovery, and autonomous agent capabilities across the ATLAS ecosystem.

The role is responsible for designing and implementing the AI platform, integrating Large Language Models (LLMs), Retrieval Augmented Generation (RAG), knowledge graph technologies, and machine learning inference capabilities into ATLAS products and services.

This role will work closely with Product Management, Architecture, and Engineering teams to transform engineering knowledge into actionable intelligence.

• Design, build, and operate secure, scalable AI platforms and services.

• Own the end-to-end lifecycle of AI platform development, from architecture and implementation through deployment, monitoring, and continuous improvement.

• Evaluate, integrate, and manage Large Language Models, embeddings, vector databases, and AI infrastructure components.

• Support development of AI-powered copilots, assistants, and autonomous agents.

• Onboard and manage new AI models while optimising performance, cost, reliability, and security.

• Implement monitoring, evaluation, auditability, and safety frameworks for AI systems.

• Collaborate with software engineering teams to integrate AI capabilities into customer-facing products and internal tooling.

• Develop automation solutions that improve engineering productivity, quality, and operational efficiency.

• Experience building platforms, AI gateways
  in production

• Experience building APIs, backend services, and platform infrastructure.

• Experience with CI/CD pipelines, source control, and infrastructure automation.

• Hands-on work with Docker containers, security-focused architecture, and multi-provider integrations (cloud compute + frontier model providers)

• Familiarity with MLOps, model onboarding, compute orchestration, and infrastructure for large-scale AI usage

• Proficiency in Python and experience with additional languages

• Knowledge of Kubernetes, container orchestration, observability, and infrastructure-as-code tools

• Passion for turning complex engineering problems into simple, reliable, and secure AI-powered outcomes

In return for everything you bring to the table, we can ensure an exciting, challenging role in a dynamic business surrounded by some of the best people in their respective fields.

At Motion Applied we firmly believe it’s the relationships and friendships we create while working that make us special. We’re also aware…