Staff Platform Engineer - AI

Data Idols

Greater London

Hybrid

GBP 90,000 - 100,000

Full time

3 days ago
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Job summary

Data Idols in London is seeking a Staff Platform Engineer - AI to design and build secure, scalable platform capabilities for enterprise AI adoption across the organisation.

As a Staff Platform Engineer, you'll own cloud-native platform services on Azure, champion reusable patterns, and work with Architecture, Product and Engineering to accelerate AI workloads at scale. This is a hands-on leadership role with a strong emphasis on reliability and performance.

Qualifications

  • Experience designing and building cloud-native platforms on Azure.
  • Commercial experience with Databricks, Azure AI services, APIs and integration technologies.
  • Expertise developing scalable platform architecture and reusable engineering capabilities.
  • Experience supporting modern AI workloads, including LLMs, RAG and AI-powered applications.
  • A passion for technical leadership, engineering excellence and building platforms that enable teams to deliver at scale.

Responsibilities

  • Design and deliver secure, scalable cloud-native platform capabilities that enable enterprise AI adoption.
  • Own complex technical challenges and build reusable platform services, APIs and integrations.
  • Define engineering standards and influence platform strategy with Architecture, Product and Engineering teams.
  • Ensure AI workloads are scalable, resilient and production-ready; lead hands-on implementation.

Skills

Azure cloud-native platforms
Databricks expertise
Azure AI services
APIs & integration
Scalable platform architecture
AI workloads (LLMs, RAG)
Technical leadership

Tools

Databricks
Azure AI services

Job description

Data Idols are partnering with a leading UK retailer embarking on a significant AI transformation. They are looking for a Staff Platform Engineer - AI to design and build the secure, scalable platform capabilities that will underpin enterprise AI adoption across the organisation.

This role sits at the heart of a major technology transformation, offering the opportunity to build the cloud-native platforms, shared services and engineering foundations that will power the next generation of AI products and intelligent applications.

The Opportunity
Staff Platform Engineer - AI

Salary: £90,000 - £100,000

Location: London | Hybrid

Data Idols are partnering with a leading UK retailer embarking on a significant AI transformation. They are looking for a Staff Platform Engineer - AI to design and build the secure, scalable platform capabilities that will underpin enterprise AI adoption across the organisation.

This role sits at the heart of a major technology transformation, offering the opportunity to build the cloud-native platforms, shared services and engineering foundations that will power the next generation of AI products and intelligent applications.

The Opportunity

As a Staff Platform Engineer, you'll combine deep technical expertise with platform leadership, designing and delivering reusable cloud-native capabilities that enable AI at enterprise scale. You'll take ownership of complex technical challenges, building secure, high-performance platform services, APIs and integrations that accelerate the development of modern AI applications.

Working closely with Architecture, Product and Engineering teams, you'll define engineering standards, influence platform strategy and ensure AI workloads are scalable, resilient and production-ready. This is a highly hands‑on role where you'll help shape the core platform that enables engineering teams to deliver AI solutions faster, more securely and more consistently.

Skills & Experience
  • Strong experience designing and building cloud-native platforms on Azure
  • Commercial experience with Databricks, Azure AI services, APIs and integration technologies
  • Expertise developing scalable platform architecture and reusable engineering capabilities
  • Experience supporting modern AI workloads, including LLMs, RAG and AI-powered applications
  • A passion for technical leadership, engineering excellence and building platforms that enable teams to deliver at scale
Staff Platform Engineer - AI
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