Forward Deployed Engineer, Applied AI

Snowflake
Menlo Park
Workplace: OnsiteFull timeUSD 126,000 - 181,700 annuallyFunction: Data Science & Machine LearningExperience: 3+ yearsEducation: bachelorsSkills: ["Python","SQL","Snowpark","LLMs","RAG","Evaluation","Pandas","Numpy"]

Hands-on AI engineer building production-grade AI systems for enterprise customers using Snowflake Cortex, Snowpark, and native LLM capabilities. You will architect, develop, and deploy end-to-end AI solutions from prototype to production, defining quality metrics, and collaborating with product and customer teams to deliver scalable, high-quality AI applications.

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FursaFursa
Snowflake
Snowflake
7 months ago

Forward Deployed Engineer, Applied AI

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 17 hours agoStatus: Live

Job Summary

Hands-on AI engineer building production-grade AI systems for enterprise customers using Snowflake Cortex, Snowpark, and native LLM capabilities. You will architect, develop, and deploy end-to-end AI solutions from prototype to production, defining quality metrics, and collaborating with product and customer teams to deliver scalable, high-quality AI applications.
Location: Menlo Park
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Build customer AI solutions end-to-end from prototype to production, including sophisticated AI agents.
  • •Define what quality means for the systems you build by creating metrics, evaluation frameworks, and golden datasets; run eval loops to improve accuracy, faithfulness, and safety.
  • •Deliver with velocity by designing, iterating, and shipping high-quality code and data pipelines using Python and SQL.
  • •Productionize AI at scale by deploying, monitoring, and optimizing in secure, large-scale environments; implement safety guardrails and observability.
  • •Partner with customer data science and engineering teams as a hands-on technical resource and trusted advisor; collaborate with product and engineering teams to influence Snowflake's AI platform; travel at least 25% onsite.

Pay and Benefits

Salary: USD 126,000 - 181,700 annually

Key Requirements

  • •Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience.
  • •3+ years of professional software engineering experience.
  • •Willingness to travel.
  • •Proven experience building applications using LLMs, especially with technologies like RAG and agentic workflows.
  • •Hands-on experience defining quality metrics and running evaluations for LLM or agent systems, and using evals to systematically improve quality.
Experience:3+ yearsAILLMEnterprise AI
Education:Bachelor's
Skills:PythonSQLSnowparkLLMsRAGEvaluationPandasNumpy
Languages:English
Tech Stack:PythonSQLSnowparkLLMRAGCortexAWSGCPAzure

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