Opus Resourcing partnered with a high growth cybersecurity company in the San Francisco Bay Area to deliver a Head of AI Engineering to lead the evolution of their AI driven detection platform.
This senior leadership role focused on scaling a cyber security platform powered by cutting edge deep learning models and large language models, enabling the business to support increasingly complex enterprise and large scale customer environments. The mandate combined technical leadership with strategic ownership of AI and machine learning initiatives.
Beyond core platform development, the Head of AI Engineering is driving key innovation areas including data exfiltration prevention, intelligent search, and the development of agentic and conversational AI capabilities to power new product initiatives.
Opus Resourcing led a highly targeted, data driven search across the Bay Area, leveraging advanced talent mapping and AI enabled sourcing techniques to identify senior AI leaders with deep expertise across cybersecurity, machine learning, and distributed systems. The brief required a rare combination of hands on technical depth, leadership experience, and the ability to scale teams and platforms in high growth environments.
The successful candidate, previously at Uber, brings proven experience in building and scaling complex, high performance systems and is now leading the growth of the AI engineering function. This includes strategic hiring, optimising engineering processes for high development velocity, reducing cloud costs, and driving the adoption of AI coding tools.
This case study highlights Opus Resourcing’s expertise in hiring senior AI leadership talent in the San Francisco Bay Area, particularly for roles at the intersection of cybersecurity, AI driven detection, LLMs, and scalable distributed systems.