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Staff Applied AI Engineer (FDE)

snowflakeUS-CA-Menlo ParkEngineering
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Salary
$200K – $270K
Job type
Full-time
Work mode
Remote
Experience
Senior · 7+ yrs
Posted
24 Sept 2026
Status
Open · checked 7d ago

About this role

This position suits an experienced software professional with a background in customer-facing technical roles who wants to lead applied AI engineering initiatives in Menlo Park, California. The role involves driving enterprise AI programs as a hands-on technical leader on the Cortex AI team at Snowflake.

Role Overview

Snowflake seeks a Staff Applied AI Engineer (Forward Deployed Engineer) for the Cortex AI team based in Menlo Park, US-CA. This is a full-time, customer-facing technical position that requires frequent travel within the United States, with at least 25 percent of working time spent onsite with strategic clients. The person in this role will act as a technical leader and trusted advisor, bridging product, engineering, and customer success while managing small technical teams.

Key Responsibilities

Direct the full lifecycle of complex artificial intelligence initiatives for strategic clients, covering scoping, architecture, deployment, and monitoring.
Establish quality standards by defining evaluation metrics, building golden datasets, and running systematic evaluations for large language model and agent systems.
Guide and mentor a small group of engineers, providing code reviews, design direction, and career development.
Build and ship machine learning pipelines and agentic workflows as an active hands-on contributor alongside the team.
Construct safety guardrails, observability mechanisms, and human-review workflows to productionize AI applications at scale.
Advise customer data science and engineering leadership while communicating technical concepts to executive stakeholders.
Collaborate with internal product and engineering groups to share field feedback and develop reusable reference architectures.

Requirements

Minimum of 7 years of professional software engineering experience.
Demonstrated history of leading technical projects or guiding teams to completion.
Practical background in constructing and productionizing applications utilizing large language models, retrieval-augmented generation, and agentic workflows.
Experience establishing quality metrics and evaluation frameworks to systematically enhance model or agent performance.
Familiarity with customer-facing technical positions.
Ability to handle ambiguity, solve complex problems independently, and communicate effectively with executives.
Willingness to travel frequently within the US.

Nice to Have

Background in building evaluation sets using production traces and synthetic data, alongside structured experimentation like A/B testing and offline evaluations.
Familiarity with observation and evaluation tools such as Braintrust, LangSmith, Arize, Weave, and Promptfoo, or custom harnesses.
Experience conducting failure-mode analysis on retrieval-augmented generation or agent systems.
Practical knowledge of the machine learning operations lifecycle within cloud environments like AWS, Azure, or GCP.
Familiarity with data science libraries and tools including pandas, numpy, and Snowpark.
Previous experience in startups or high-growth environments.

Skills and Tools

Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
Agentic Workflows
Machine Learning Operations (MLOps)
AWS, Azure, GCP
Pandas, NumPy, Snowpark
Braintrust, LangSmith, Arize, Weave, Promptfoo

Salary and Benefits

The salary range for this position is $200K to $270K. Additional benefits information is available on the official company careers page.

About the Company

Snowflake focuses on powering the agentic enterprise through advanced cloud data and artificial intelligence solutions. The company encourages an experimental mindset and values low-ego individuals who thrive in fast-paced environments. Employees are required to adhere strictly to internal data security and confidentiality standards regarding sensitive information.

How to Apply

Interested candidates should apply directly on the official Snowflake careers page.

Skills and tech stack

LLMsRAGAWSAzureGCPPandasNumPySnowparkBraintrustLangSmithArizeWeavePromptfooLLMMLOps

Questions candidates ask

What is the location of this job?

The role is based in Menlo Park, California, and requires frequent travel within the US, with at least 25 percent of time spent onsite with customers.

How many years of experience are required?

Candidates must have at least 7 years of professional software engineering experience.

What is the salary range for this role?

The offered salary ranges from $200K to $270K.

Is this a customer-facing role?

Yes, this is a customer-facing position that requires serving as a trusted advisor to strategic clients and traveling frequently within the United States.

What technical skills are emphasized for this position?

Key technical areas include building applications with large language models, retrieval-augmented generation, agentic workflows, MLOps, evaluation frameworks, and cloud environments like AWS, Azure, or GCP.

Ready to apply?

The application is on the official snowflake careers page.

Apply on company site