Lead technical strategy and architecture for complex AI systems while serving as the primary technical advisor for client engagements. Mentor engineering teams and oversee the full project lifecycle from discovery to production deployment.
Lead technical strategy and architecture for complex AI systems while serving as a primary point of contact for client stakeholders. Mentor engineering teams and oversee the full project lifecycle from discovery to production deployment.
Candidates are invited to submit a general application to join a talent pool for current or future roles. Applicants should specify their desired role and may optionally provide a cover letter for further explanation.
Design, build, deploy, monitor, and improve production ML and LLM systems for enterprise clients, owning technical delivery from architecture and prototyping through deployment. Work directly with client teams, mentor junior ML engineers, and help establish internal technical standards and best practices.
Design, build, deploy, monitor, and improve production machine learning and LLM systems for enterprise clients, owning technical delivery from architecture and prototyping through deployment. Work directly with client teams, mentor junior engineers, contribute to internal technical standards, and represent TensorOps in client discussions and workshops.
