Staff Research Scientist: Agentic AI & LLMs

Fdetimes; Bellevue (WA); On-site; USD 210,000 - 260,000; Full time

Job summary

Snowflake is building the brain for the Enterprise Data Cloud with frontier AI across the full stack from foundation models to agent systems and inference/training infrastructure. You will shape research direction, develop enterprise-ready LLMs, and advance autonomous agents at scale, delivering system-level impact and real-world value.

Join a fast-moving, open research culture that values experimentation, collaboration, and mentorship, while publishing and contributing to the broader field of

Qualifications

• Ph.D. in Computer Science or related field with 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.

Responsibilities

• 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.

Skills

LLM development

Agentic systems

Systems thinking

Technical leadership

Education

Ph.D. in Computer Science or related field

Job description

Snowflake is building the brain for the Enterprise Data Cloud with frontier AI across the full stack from foundation models to agent systems and inference/training infrastructure. You will shape research direction, develop enterprise-ready LLMs, and advance autonomous agents at scale, delivering system-level impact and real-world value.

Join a fast-moving, open research culture that values experimentation, collaboration, and mentorship, while publishing and contributing to the broader field of