AI Specialist (Snowflake)

TL;DR

AI Specialist (Snowflake): Designing and architecting AI/ML solutions on the Snowflake AI Data Cloud with an accent on MLOps, Generative AI, and enterprise-scale deployment. Focus on driving technical wins, influencing product roadmaps, and enabling customer adoption across the APJ region.

Location: Singapore (Hybrid)

Company

Snowflake is a leading cloud-based data platform provider powering the era of the agentic enterprise.

What you will do

• Position Snowflake’s AI and ML features to technical stakeholders across the APJ region.
• Partner with account teams to scope and drive successful POCs and technical wins.
• Collaborate with product and engineering teams to influence AI/ML roadmaps based on customer feedback.
• Publish technical content including blog posts, presentations, and demos to scale team efforts.
• Tailor and maintain sales engineering assets such as presentations and customer stories.
• Support account teams in driving customer adoption of AI/ML use cases.

Requirements

• 10+ years of experience in machine learning and 3+ years in Generative AI solutions.
• Hands-on expertise in MLOps, feature stores, model deployment, and observability.
• Deep knowledge of Python, ML packages (LangChain, pandas, sklearn, PyTorch), and data engineering tools (dbt, Airflow, Spark).
• Strong presentation skills for both technical and executive audiences.
• Must be based in or able to work from Singapore.
• Bachelor’s degree in computer science, engineering, or related field.

Nice to have

• Working knowledge of LLM ecosystem tools like LlamaIndex or other OSS packages.
• Experience with large-scale IaaS platforms (AWS, Azure, GCP).
• 1+ years of practical Snowflake experience.
• Experience with large-scale database technologies.
• Previous experience in quota-carrying roles.

Culture & Benefits

• Fast-paced, innovative environment focused on challenging ordinary thinking.
• Opportunity to work at the forefront of AI-native enterprise technology.
• Collaborative culture with a focus on low-ego, experimental mindsets.
• Global impact through scaling AI solutions for enterprise customers.