AI Solutions Engineer (APJ, Singapore)

Previous experience as a Data Scientist, Machine Learning Engineer, or Engineer working with ML models or GenAI applications in production. Comfortable working in public Cloud environments (AWS, Azure, GCP). Knowledge of machine learning frameworks such as TensorFlow, PyTorch or Scikit-learn. Knowledge of LLM / Agentic frameworks such as Llamaindex, LangGraph, and DSPy. Understanding of ML/DS concepts, model evaluation strategies and lifecycle. Understanding of GenAI concepts and application evaluation + development lifecycle. Proficiency in a programming language (Python, JS/TS, Java, Go, etc). Strong Communication Skills - Ability to simplify complex, technical concepts. A quick and self learner. Previous engineering experience in Data Science, MLOps, ML Frameworks, LLM / Agentic frameworks (Bonus Points). Customer facing experience strongly preferred (Solutions Architect, Implementation Specialist, Sales Engineer, Customer Success Engineer, Consultant, or Professional Service roles) (Bonus Points). Prior experience working with applications deployed with Kubernetes (Bonus Points). Prior experience demoing technical products to both business and technical audiences (Bonus Points).

Act as a trusted advisor to customers. Build relationships with technical and business stakeholders. Advise on GenAI and ML best practices. Give ML and LLM product demos. Run strategic business reviews. Interface with pre-sales engineering team. Partner with product and engineering teams to drive product roadmap. Spearhead new opportunities within existing accounts.