Temus Benefits Overview

Lead AI Engineer will design and deploy advanced AI and agentic LLM systems, lead and mentor an AI/data engineering team, build MLOps pipelines and cloud deployments, produce client proposals and technical thought leadership, and drive model lifecycle, evaluation, and responsible-AI practices.

Design, develop, and deploy AI/ML solutions on Microsoft Azure; collaborate with regional and Singapore teams; deliver production-grade LLM/agentic or MLOps systems; implement CI/CD, containerization, IaC and monitoring; build client relationships and continuously upskill.

This role involves developing AI literacy and capabilities in the education sector, designing enablement programs, and maintaining learning resources. Responsibilities include supporting adoption efforts, managing partnerships, and tracking program effectiveness.