Snowflake

Forward Deployed Engineer, Frontier Engineering

NZ-New Zealand-Remote. Posted 21 days ago

The role

You will architect, build, and deploy enterprise-grade AI solutions and agents. You will work as a technical partner to strategic customers to solve complex business challenges using Snowpark, Cortex, and native LLM capabilities.

What you will do

  • Architect, build, and deploy enterprise-grade AI solutions including sophisticated AI agents
  • Own the end-to-end lifecycle of workstreams from prototype to production
  • Define quality metrics, evaluation frameworks, and golden datasets
  • Run systematic eval loops to improve agent quality
  • Design, iterate, and ship high-quality code and pipelines using Python and SQL
  • Implement, deploy, monitor, and optimize solutions in secure, large-scale production environments
  • Build safety guardrails, observability, and human-review workflows
  • Partner with customer data science and engineering teams as a technical resource
  • Collaborate with Snowflake Product and Engineering teams to influence the AI platform
  • Travel at least 25% of the time to work onsite with customers

Required qualifications

  • Bachelor's degree in Computer Science, Engineering, a related technical 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
  • Excellent problem-solving and communication skills
  • Comfort with ambiguity and a desire to thrive in a fast-paced, ever-changing Generative AI environment

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) or experience building custom eval harnesses
  • 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)
  • Experience in a customer-facing technical role (e.g., solutions architect, sales engineer, or professional services)
  • Startup experience

About the company

Snowflake is building a high-impact team to help the world's most innovative companies unlock the power of AI.