Lead AI Safety Engineer & Systems Architect

Faculty; Greater London; On-site; GBP 90,000 - 140,000; Full time

Job summary

Faculty is seeking a Lead Software Engineer to shape technical strategy, architecture, and deployment of secure, scalable AI systems across high-stakes domains. You will bridge AI research and production impact, establishing engineering standards and driving robust ML infrastructure.

Collaborate with Frontier Labs, mentor teams, and guide cross-functional executives, translating complex risks into clear decisions while promoting safety-first practices and an inclusive, high-performing culture.

Qualifications

• Significant leadership experience designing, deploying, and securing scalable AI/ML systems.
• Strong Python engineering fundamentals and enterprise-grade system thinking.
• Hands-on experience with cloud platforms (AWS/Azure/GCP), containers, and cyber-security.

Responsibilities

• Steer technical strategy, system architecture, and capability testing for complex ML systems.

Skills

Leadership experience

Python

Cloud platforms

Docker & Kubernetes

LLM apps

Tools

Docker

Kubernetes

PyTorch

TensorFlow

Job description

Faculty is seeking a Lead Software Engineer to shape technical strategy, architecture, and deployment of secure, scalable AI systems across high-stakes domains. You will bridge AI research and production impact, establishing engineering standards and driving robust ML infrastructure.

Collaborate with Frontier Labs, mentor teams, and guide cross-functional executives, translating complex risks into clear decisions while promoting safety-first practices and an inclusive, high-performing culture.