Head of Platform Engineering (AI) - Senior Technology Leader - £250,000

Mondrian Alpha; Greater London; Vor Ort; GBP 80.000 - 110.000; Vollzeit

Zusammenfassung

A leading consultancy firm is seeking a highly skilled AI platform engineer to lead and scale a proprietary enterprise AI-first platform. This role offers complete autonomy over development, architecture, and decision-making while transitioning from a third-party team to in-house operations. The engineer will build engineering capabilities, shape offshore models, and has the potential to progress to a CTO position. The ideal candidate has strong experience with Neo4j, LLM/AI capabilities, Kafka, and API-first architecture.

Qualifikationen

• Experience with Neo4j and AI capabilities.
• Proficient in Kafka and Java / JVM.
• Strong background in API-first architecture.

Aufgaben

• Build a global engineering capability.
• Stand up and shape offshore delivery model.
• Hire and define the internal engineering bar.
• Lead strategy, design and architecture.
• Remain hands-on with engineering throughout scaling.

Kenntnisse

Neo4j

Production grade LLM / AI capabilities

Kafka

Java / JVM

API-first architecture

Jobbeschreibung

A leading consultancy firm are seeking a highly skilled AI platform engineer to join the business and take ownership of a global, large scale, proprietary enterprise AI-first platform. The role offers complete autonomy over the build, architecture and scaling of the platform globally.

The right engineer should bring experience with Neo4j, production grade LLM / AI capabilities (RAG, embeddings, inference pipelines), Kafka, Java / JVM and API-first architecture.

The position offers a rare modernisation opportunity, you'd be transitioning from a third-party engineering team to inhouse - asses, rationalise and rebuild governance, make decisions on build vs buy. The environment is real AI production and scaling.

Responsibilities

• Build a global engineering capability
• Stand up and shape offshore delivery model
• Hire and define the internal engineering bar
• Lead strategy, design and architecture
• Remain hands on with engineering throughout scaling

As the business positions technology and AI at the forefront of it's growth this role could progress to a CTO seat for the right individual.