Forward Deployed Engineer

Job not on LinkedIn

🔥 3 minutes ago

🇳🇿 New Zealand – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

👷🏻‍♀️ Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Snowflake

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2012

💼 Consulting

📣 Marketing

Consulting • Marketing • Cloud Computing

Snowflake is a cloud-based data-warehousing company that provides a platform for data storage, processing, and analytics. It allows businesses to store data in a centralized location and perform complex queries and analytics on that data efficiently. Snowflake is designed to handle a wide range of data workloads and can scale dynamically to meet the needs of growing businesses.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• 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