Staff Applied AI Engineer (FDE)

The role

You will lead the end-to-end delivery of enterprise AI programs as a technical leader for strategic customers. You will design and ship ML pipelines and agentic AI solutions while mentoring a team of engineers.

What you will do

• Own the full lifecycle of complex AI engagements from scoping to deployment
• Define quality metrics, evaluation frameworks, and golden datasets
• Provide technical leadership and mentorship to a team of 2–6 engineers
• Design, iterate, and ship high-quality ML pipelines and agentic AI solutions
• Implement AI solutions in secure, large-scale production environments
• Build safety guardrails, observability, and human-review workflows
• Serve as a senior technical advisor to customer leadership
• Collaborate with Product and Engineering teams to shape the AI platform
• Identify recurring deployment patterns to create reusable assets

Required qualifications

• Demonstrated experience leading technical projects or teams
• Proven experience building and productionizing applications using LLMs, RAG, and agentic workflows
• Hands-on experience defining quality metrics and evaluation frameworks for LLM or agent systems
• Excellent problem-solving and communication skills
• Comfort with ambiguity and executing on complex, open-ended problems
• 7+ years of professional software engineering experience
• Experience in a customer-facing technical role
• Willingness to travel

Nice to have

• Experience building eval sets from production traces and synthetic data
• Familiarity with eval and observability tooling (e.g., Braintrust, LangSmith, Arize, Weave, Promptfoo)
• Experience with failure-mode analysis on agent or RAG systems
• Hands-on experience with the MLOps lifecycle in a cloud environment (AWS, Azure, or GCP)
• Familiarity with core data science libraries and tools (e.g., pandas, numpy, Snowpark)
• Startup experience or experience in a high-growth, fast-paced environment

About the company

Snowflake is powering the era of the agentic enterprise. The company seeks AI-native thinkers to help redefine the future of how work gets done.