Senior Applied AI Engineer (AI)

Location: Must be based in the US (Menlo Park, CA) and be willing to travel at least 25% of the time.

Salary: $200K – $270K

Company

A data cloud company powering the era of the agentic enterprise through high-impact AI innovation.

What you will do

• Lead the full lifecycle of complex, multi-engineer AI engagements from scoping and architecture to deployment.
• Define quality metrics and evaluation frameworks to systematically improve agent accuracy, faithfulness, and safety.
• Provide technical leadership and mentorship to a team of 2–6 Applied AI Engineers through code and design reviews.
• Design and ship high-quality ML pipelines and agentic AI solutions in secure, large-scale production environments.
• Act as a senior technical advisor to customer data science and engineering leadership.
• Collaborate with internal Product and Engineering teams to shape the future of the Snowflake AI platform.

Requirements

• 5+ years of professional software engineering experience.
• Proven experience building and productionizing LLM applications, specifically using RAG and agentic workflows.
• Demonstrated experience leading technical projects and setting technical direction for a team.
• Hands-on experience defining evaluation frameworks and quality metrics for LLM systems.
• Experience in a customer-facing technical role with excellent communication skills.
• Willingness to travel at least 25% of the time.

Nice to have

• Experience with observability tooling such as Braintrust, LangSmith, Arize, Weave, or Promptfoo.
• Experience with MLOps lifecycle, including deployment and monitoring in AWS, Azure, or GCP.
• Familiarity with data science libraries including pandas, numpy, and Snowpark.
• Startup experience or experience working in a high-growth, fast-paced environment.

Culture & Benefits

• Impact-driven culture focused on innovation and collaboration.
• Opportunity to work at the forefront of the agentic enterprise AI era.
• Experimental mindset that encourages rapid testing of emerging capabilities.
• Dynamic, fast-moving environment designed for building big and scaling quickly.