Senior/Staff Forward Deployed Engineer, Applied AI

Snowflake
Menlo Park
Workplace: OnsiteFull timeUSD 200,000 - 270,000 annuallyFunction: Data Science & Machine LearningExperience: 5+ yearsSkills: ["Communication","Leadership","Problem-solving","Mentoring","Team leadership"]

Senior hands-on AI engineering role leading end-to-end enterprise AI programs on Cortex AI. You will mentor a small engineering team, define quality metrics for LLM/agent systems, and deliver scalable, production-ready AI solutions while collaborating with product, engineering and customer success teams. Travel up to ~25% to work onsite with strategic customers and drive AI initiatives from scoping through deployment.

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FursaFursa
Snowflake
Snowflake
4 months ago

Senior/Staff Forward Deployed Engineer, Applied AI

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Senior hands-on AI engineering role leading end-to-end enterprise AI programs on Cortex AI. You will mentor a small engineering team, define quality metrics for LLM/agent systems, and deliver scalable, production-ready AI solutions while collaborating with product, engineering and customer success teams. Travel up to ~25% to work onsite with strategic customers and drive AI initiatives from scoping through deployment.
Location: Menlo Park
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Lead complex, multi-engineer AI engagements from scoping and architecture through deployment, monitoring, and handoff, ensuring delivery quality and customer outcomes.
  • •Define what good looks like for each engagement by creating measurable quality metrics and evaluation frameworks; run systematic eval loops to improve agent quality.
  • •Provide day-to-day technical leadership and mentorship to a team of 2–6 Applied AI Engineers; review designs and code and develop team careers.
  • •Deliver high-quality ML pipelines and agentic AI solutions; translate ambiguous business objectives into robust, scalable, and performant implementations.
  • •Productionize AI at scale by managing end-to-end lifecycle including deployment, monitoring, and safety guardrails; close the loop from production feedback to evals.
Travel: Medium travel

Pay and Benefits

Salary: USD 200,000 - 270,000 annually

Key Requirements

  • •5+ years of professional software engineering experience.
  • •Demonstrated experience leading technical projects or teams, including setting technical direction, reviewing others' work, and driving delivery to completion.
  • •Proven experience building and productionizing applications using LLMs, especially with technologies like RAG and agentic workflows.
  • •Hands-on experience defining quality metrics and evaluation frameworks for LLM or agent systems, and using evals to systematically improve quality over time.
  • •Excellent problem-solving and communication skills, with an ability to articulate complex technical concepts to both technical and executive stakeholders.
Experience:5+ yearsEnterprise AILLMsAI engineering
Skills:CommunicationLeadershipProblem-solvingMentoringTeam leadership
Tech Stack:LLMsRAGEvalsLangSmithArizeWeavePromptfooPandasNumpySnowparkAWSAzureGCP

Company Brief

Snowflake
Provides a cloud-native data platform for data warehousing, data engineering, data science, and analytics, enabling organizations to store, process, and share large-scale data across multiple cloud providers with elastic scalability and performance.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Bozeman, United States
Founded: 2012
WebsiteLinkedIn