Senior Forward Deployed Engineer, Applied AI

Snowflake

Senior Forward Deployed Engineer leading customer AI programs for Snowflake's Cortex AI platform. Building, evaluating, and productionizing LLM, RAG, and agentic solutions while mentoring engineers.

Posted 8/11/2026full-timeMenlo Park • California, Washington • 🇺🇸 United StatesSenior💰 $200,000 - $270,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading AI projects, including defining quality metrics, building ML pipelines, and deploying solutions in large-scale environments. Proficient in articulating complex technical concepts to diverse stakeholders and mentoring teams in a customer-facing role.

Highest-signal resume keywords

AI Project LeadershipLLM Application DevelopmentMLOps Lifecycle ManagementQuality Metrics DefinitionCustomer-Facing Technical Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine Learning PipelinesLLM ProductionizationQuality Metrics DefinitionFailure-Mode AnalysisModel DeploymentStructured ExperimentationData Evaluation FrameworksAgentic WorkflowsSoftware EngineeringTechnical Project Leadership

Soft Skills

Problem-SolvingCommunicationMentoringCollaborationAdaptability

Tools & Technologies

AWSAzureGCPSnowflakeBraintrustLangSmithArizeWeavePromptfooPandas

Industry Keywords

AI EngagementsMLOpsProduction EnvironmentsData SecurityHigh-Growth Environment

Tech Stack

Tools & technologies

AWSAzureGoogle Cloud PlatformNumpyPandas

About the role

Key responsibilities & impact

Own the full lifecycle of complex, multi-engineer AI engagements from scoping and architecture through deployment, monitoring, and handoff
Define AI quality metrics, evaluation frameworks, golden datasets, and systematic evaluation loops
Lead and mentor a team of 2–6 Applied AI Engineers; review designs and code and unblock teammates
Design, iterate, and ship ML pipelines and agentic AI solutions
Translate ambiguous business objectives into robust, scalable, and performant solutions
Own implementation from prototype through deployment, monitoring, and optimization in secure, large-scale production environments
Build safety guardrails, observability, and human-review workflows
Advise customer data science and engineering leadership on Snowflake AI deployment
Articulate complex technical concepts to technical and executive stakeholders
Collaborate with Product and Engineering teams to shape Snowflake's AI platform
Turn recurring deployment patterns into reusable assets, reference architectures, evaluation harnesses, and product feedback
Spend at least 25% of time onsite with strategic customers

Requirements

What you’ll need

Demonstrated experience leading technical projects or teams, including setting technical direction, reviewing others' work, and driving delivery to completion
Proven experience building and productionizing applications using LLMs, especially RAG and agentic workflows
Hands-on experience defining quality metrics and evaluation frameworks for LLM or agent systems
Excellent problem-solving and communication skills, with ability to explain complex technical concepts to technical and executive stakeholders
Comfort with ambiguity and ability to independently structure and execute complex, open-ended problems
5+ years of professional software engineering experience
Experience in a customer-facing technical role
Willingness to travel
Experience building eval sets from production traces and synthetic data and running structured experimentation
Familiarity with eval and observability tooling such as Braintrust, LangSmith, Arize, Weave, or Promptfoo, or custom eval harnesses
Experience with failure-mode analysis on agent or RAG systems
Hands-on experience with MLOps lifecycle, including model deployment, monitoring, and evaluation in AWS, Azure, or GCP
Familiarity with pandas, numpy, and Snowpark
Startup experience or experience in a high-growth, fast-paced environment
Must follow Snowflake confidentiality and security standards and data security plan
Must be authorized to work in the country to which applying

Benefits

Comp & perks

Salary range of $200K–$270K
Opportunity to travel and work onsite with strategic customers
Professional mentorship and career development through leading and mentoring engineers
Opportunity to shape Snowflake's AI platform through collaboration with Product and Engineering
Secure, large-scale production environment and work on innovative AI programs