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Staff Applied AI Engineer (FDE)

Snowflake Inc.· Engineering
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Hybrid (US-CA-Menlo Park), Hybrid (US-WA-Bellevue)$200k - $270kFull-timePosted 4mo ago

About the role

Staff Forward Deployed Engineer, Applied AI on the Cortex AI team. Lead end-to-end enterprise AI programs, mentor a small team, and serve as senior technical voice at the intersection of product, engineering, and customer success. Hybrid, travel required, customer-facing role.

Responsibilities

  • Lead Customer Programs: Own the full lifecycle of complex, multi-engineer AI engagements – from scoping and architecture through deployment, monitoring, and handoff.
  • Own AI Quality: Define quality metrics and evaluation frameworks, run systematic eval loops to improve agent quality, and raise the bar on accuracy, faithfulness, and safety.
  • Grow and Mentor Engineers: Provide day-to-day technical leadership and mentorship to 2–6 Applied AI Engineers; review designs and code.
  • Deliver with Velocity: Hands-on contributor designing, iterating, and shipping ML pipelines and agentic AI solutions.
  • Productionize AI at Scale: Implement AI solutions from prototype to deployment with safety guards, observability, and human-review workflows.
  • Be a Strategic Technical Advisor: Advise customer data science and engineering leadership; articulate complex concepts to technical/executive stakeholders.
  • Collaborate to Innovate: Work cross-functionally with Product and Engineering to shape Snowflake's AI platform.
  • Drive Compounding Outcomes: Create reusable assets like reference architectures and evaluation harnesses.
  • Have the opportunity to travel: Spend at least 25% of time onsite with strategic customers.

Qualifications

  • Demonstrated experience leading technical projects or teams, setting technical direction, reviewing work, and driving delivery to completion.
  • Proven experience building and productionizing applications using LLMs, especially with RAG and agentic workflows.
  • Hands-on experience defining quality metrics and evaluation frameworks for LLM or agent systems, and using evals to improve quality over time.
  • Excellent problem-solving and communication skills; able to articulate complex concepts to technical and executive stakeholders.
  • Comfort with ambiguity and ability to independently structure and execute on complex problems.
  • 7+ years of professional software engineering experience.
  • Experience in a customer-facing technical role.
  • Willingness to travel.

Skills

Required:Technical leadership and project managementLLMs, RAG, agentic workflowsQuality metrics and eval frameworks for LLMsCommunication with stakeholdersAmbiguity tolerance and problem solvingCustomer-facing technical experienceTravel readiness
Last updated Oct 8, 2026. Interested? Apply on the company site.

About Snowflake Inc.

The Data Platform Built for Data Teams.

Snowflake powers AI, data engineering, applications, and analytics on a trusted, scalable AI Data Cloud—eliminating silos and accelerating innovation.

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