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Senior/Staff Applied AI Engineer (FDE)
Summary by AIEngineer.careers
Senior/Staff Applied AI Engineer (FDE) is a Forward Deployed AI Engineer role (full-time). with Snowflake. in BELLEVUE, US. Compensation shown: $200K–$263K. Imported listing (source: yabot.jobs). Apply on the employer's site (yabot.jobs).
Imported listing (source: yabot.jobs) · Apply on yabot.jobs
BELLEVUE · US
$200K–$263K
Full-time
STAFF
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from yabot.jobs
Snowflake is seeking a Senior/Staff Forward Deployed Engineer to lead enterprise AI programs on the Cortex AI team. This hands-on technical leadership role involves owning end-to-end delivery of agentic AI solutions, mentoring engineers, and serving as a trusted advisor to strategic customers. The position requires deep expertise in LLMs, RAG, and evaluation frameworks, with frequent travel to customer sites.
Responsibilities
- Lead complex, multi-engineer AI engagements from scoping to deployment and handoff.
- Define quality metrics, evaluation frameworks, and golden datasets for AI systems.
- Mentor and provide technical leadership to a team of 2–6 Applied AI Engineers.
- Design, iterate, and ship ML pipelines and agentic AI solutions.
- Build safety guardrails, observability, and human-review workflows for production AI.
- Serve as a senior technical advisor to customer data science and engineering leadership.
- Collaborate with Product and Engineering teams to shape Snowflake's AI platform.
- Identify recurring deployment patterns and create reusable assets like reference architectures and evaluation harnesses.
- Travel at least 25% of the time to work onsite with strategic customers.
Requirements
Snowflake
Menlo Park · US · 9250+ employees
Snowflake Inc. is a cloud-based data platform company that provides a fully managed service for data warehousing, data lakes, data engineering, and data sharing. Its architecture enables customers to consolidate data for analytics, AI applications, and secure data exchange across major public cloud infrastructure.
