Forward Deployed Engineer

• Architect, build, and deploy enterprise-grade AI solutions, including sophisticated AI agents
• Own workstreams end-to-end from prototype to production
• Solve complex customer business challenges
• Define quality metrics, evaluation frameworks, and golden datasets
• Run systematic evaluation loops to improve agent quality and detect regressions
• Design, iterate, and ship high-quality code and pipelines using Python and SQL
• Implement, monitor, and optimize AI solutions in secure, large-scale production environments
• Build safety guardrails, observability, and human-review workflows
• Use production traces and user feedback to improve evaluations
• Partner directly with customer data science and engineering teams as a technical resource and advisor
• Collaborate with Snowflake Product and Engineering teams and share field feedback
• Spend at least 25% of time onsite with strategic customers

• 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 RAG and agentic workflows
• Hands-on experience defining quality metrics and running evaluations for LLM or agent systems
• Excellent problem-solving and communication skills
• Ability to articulate complex technical concepts to diverse stakeholders
• Comfort with ambiguity and fast-paced, changing Generative AI environments
• Preferred: experience building eval sets from production traces and synthetic data
• Preferred: experience with structured experimentation, including A/B tests, ablations, and offline evaluations
• Preferred: familiarity with eval and observability tooling such as Braintrust, LangSmith, Arize, Weave, and Promptfoo, or custom eval harnesses
• Preferred: experience with failure-mode analysis for agent or RAG systems
• Preferred: hands-on MLOps lifecycle experience, including model deployment, monitoring, and evaluation in AWS, Azure, or GCP
• Preferred: familiarity with pandas, numpy, and Snowpark
• Preferred: customer-facing technical role experience
• Preferred: startup experience

• Opportunity to work with cutting-edge AI technology
• Opportunity to build production-grade AI systems using Snowpark, Cortex, and native LLM capabilities
• Opportunity to work with strategic customers and influence Snowflake's AI platform
• Opportunity to travel and spend at least 25% of time onsite with customers