Forward-Deployed AI Engineer for Enterprise Solutions

Snowflake; Menlo Park (CA); On-site; USD 126,000 - 182,000; Full time

Job summary

Snowflake is seeking an experienced Forward Deployed Engineer, Applied AI to build enterprise-grade AI solutions using Snowpark and Cortex. You will own end-to-end delivery from prototype to production, partnering with customers' data science teams to solve real-world challenges.

You'll define quality metrics, run evaluations, and implement scalable, secure AI pipelines in production, while collaborating with product and engineering teams and traveling to customer sites as required.

Qualifications

• Experience building AI-powered enterprise solutions with LLMs.
• Ability to define quality metrics and run evaluations for AI systems.
• Strong problem solving and communication skills for diverse stakeholders.
• Willingness to travel and work with customer teams onsite.

Responsibilities

• Build Customer Solutions: Architect, build, and deploy enterprise-grade AI solutions.
• Own the Quality of What You Ship: Define quality metrics and evaluation frameworks.
• Deliver with Velocity: Design, iterate, and ship high-quality code and pipelines.
• Productionize AI at Scale: End-to-end lifecycle from prototype to production with safety guardrails.
• Be a Technical Partner: Collaborate with customer data science and engineering teams.
• Collaborate to Innovate: Work cross-functionally with Product and Engineering teams.
• Have the opportunity to travel: Spend at least 25% of time onsite with customers.

Skills

LLM experience

RAG workflows

Evaluations & metrics

Problem solving

Communication skills

Education

Bachelor's degree in CS or related field

Tools

LangSmith

Arize

Weave

Braintrust

Promptfoo

Snowpark

Job description

Snowflake is seeking an experienced Forward Deployed Engineer, Applied AI to build enterprise-grade AI solutions using Snowpark and Cortex. You will own end-to-end delivery from prototype to production, partnering with customers' data science teams to solve real-world challenges.

You'll define quality metrics, run evaluations, and implement scalable, secure AI pipelines in production, while collaborating with product and engineering teams and traveling to customer sites as required.