Chief AI Architect & Engineering Leader (London)

Burns Sheehan Limited; Greater London; Hybrid; GBP 140,000 - 150,000; Full time

Benefits offered by this job

Bonus

Hybrid work arrangement

Job summary

Burns Sheehan Limited is seeking a Chief AI Engineer to lead the AI engineering function and shape the next stage of the AI transformation in London, with 2 days a week in the office. This deeply technical leadership role combines hands-on engineering with strategic influence on AI architecture and standards.

The ideal candidate has extensive ML/AI experience, including LLMs, RAG, fine-tuning, and agentic AI, plus proven delivery of AI/ML solutions to production with measurable impact.

Qualifications

• Deep expertise across Machine Learning, Data Science and modern AI, including LLMs, RAG, fine-tuning and agentic AI.
• Proven experience taking AI/ML solutions from ideation through to production, with measurable commercial impact.
• Strong hands-on engineering capability with Python, MLOps/LLMOps and cloud technologies, ideally Azure.
• Experience leading technical teams, setting engineering standards and making complex architectural decisions.
• The technical credibility and leadership skills to influence senior stakeholders and operate at executive level.

Responsibilities

• Lead AI architecture and engineering standards and delivery, building differentiated AI solutions at scale.
• Own AI strategy with senior stakeholders while staying close to engineering execution.

Skills

Machine Learning Leadership

Data Science

LLMs

RAG

Fine-tuning

Agentic AI

Python

MLOps

LLMOps

Azure Cloud

Tools

Python

MLOps

LLMOps

Azure

Job description

Burns Sheehan Limited is seeking a Chief AI Engineer to lead the AI engineering function and shape the next stage of the AI transformation in London, with 2 days a week in the office. This deeply technical leadership role combines hands-on engineering with strategic influence on AI architecture and standards.

The ideal candidate has extensive ML/AI experience, including LLMs, RAG, fine-tuning, and agentic AI, plus proven delivery of AI/ML solutions to production with measurable impact.