Oversees the critical bridge between experimental AI science and highly scalable, production-grade systems with a heavy emphasis on Large Language Models (LLMs) and enterprise-level Generative AI applications.
Manage high-impact initiatives and a team of top-tier talent to deploy transformative AI solutions that optimize operational efficiency.
Champion an AI-native approach to engineering and operations.
Lead the deployment, operationalization, and maintenance of high-availability AI services.
Balance high-performance compute costs against the business value generated by models.
Establish rigorous engineering standards around MLOps, software SDKs, containerization, instrumentation, and distributed infrastructure.
Institutionalize strict standards for responsible AI, including safety, bias mitigation, data privacy, and compliance guardrails.

Bachelor’s degree or four or more years of work experience.
Ten or more years of relevant experience required, demonstrated through one or a combination of work and/or military experience, or specialized training.
Ten or more years of experience in AI/ML Engineering, Software Engineering, or AI Science environments.
Six or more years of progressive technical people leadership experience (Director or high-level Manager) directing multi-disciplinary teams of data scientists and engineering specialists.
Generative AI experience including technical fluency across the modern ML stack, with knowledge of LLMs, agentic orchestration, prompt engineering, vector databases, and multi-agent systems.

medical, dental, vision, short and long term disability, basic life insurance, supplemental life insurance, AD&D insurance, identity theft protection, pet insurance and group home & auto insurance.
matched 401(k) savings plan
up to 8 company paid holidays per year
up to 6 personal days per year
paid parental leave
adoption assistance
tuition assistance

Director – AI/ML Engineering

Key skills