Staff Research Scientist, AI Agents & LLMs

The role

You will define research direction and build models and systems at the intersection of autonomous agents and large language models. You will develop models for enterprise reasoning and tool use to turn enterprise data into self-directed, decision-making agents.

What you will do

• Define research direction in Agentic AI and LLMs
• Develop models: train, fine-tune, and align models for enterprise reasoning and tool use
• Advance autonomous agents: drive state-of-the-art capabilities in multi-step reasoning and tool use
• Advance the stack: retrieval, grounding, memory, and multi-agent coordination
• Establish evaluation standards for reliability, safety, and efficiency
• Drive research breakthroughs into production within Snowflake’s platform
• Mentor and lead to amplify the team’s technical impact
• Contribute to the field through publications and open source

Required qualifications

• Ph.D. in Computer Science or a related field with a strong publication record
• Expertise in LLM development (training, fine-tuning, alignment, or post-training)
• Experience with agentic systems (multi-agent systems, tool use, or agent optimization)
• Strong systems thinking under real-world constraints (latency, cost, reliability)
• Proven technical leadership and end-to-end ownership
• Ability to translate research into impactful systems

About the company

Snowflake is powering the era of the agentic enterprise. The company is scaling its team to accelerate AI innovation.