Senior AI Engineer

Snowflake

Senior AI Engineer building AI-powered applications and workflows at Snowflake. Collaborating with teams to improve how Snowflake employees work using AI.

Posted 7/2/2026full-timeMenlo Park • California, Washington • 🇺🇸 United StatesSenior💰 $156,000 - $224,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining AI applications and workflow automation tools, with strong proficiency in Python and SQL. Capable of translating business needs into technical solutions while effectively collaborating with cross-functional teams.

Highest-signal resume keywords

Applied AI ExperienceMachine Learning EngineeringPython ProficiencySQL ProficiencyPrompt Design Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Applied AIMachine Learning EngineeringPythonSQLPrompt DesignWorkflow AutomationData ApplicationsAI System Production HardeningOrchestrationSemantic Layer Integration

Soft Skills

Strong Communication SkillsCollaborationAdaptability

Tools & Technologies

Snowflake AI ProductsLLM Capabilities

Industry Keywords

GTM Use CasesCross-Functional InitiativesWorkflow Pain PointsEnterprise DataTrusted Engineering Practices

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Design, build, and maintain AI applications, and workflow automation tools for GTM use cases across the full product lifecycle
Independently scope and deliver medium-sized projects, and contribute meaningfully to larger cross-functional initiatives
Translate ambiguous business needs into practical technical plans
Partner closely with teams such as Sales, Marketing, Customer Support, Product, and Engineering to understand workflow pain points and deliver solutions
Apply modern LLM capabilities and Snowflake AI products in production-oriented ways to solve real business problems
Build AI systems grounded in trusted enterprise data and strong engineering practices
Communicate clearly with stakeholders on scope, tradeoffs, timelines, risks, and outcomes

Requirements

What you’ll need

5+ years of experience in applied AI, machine learning engineering, data applications, or related technical roles
Hands-on experience building and shipping applied AI or LLM-based systems for real user workflows
Strong Python and SQL skills
Experience with prompt design, evaluation, observability, orchestration, and production hardening for AI systems
Experience building systems that combine AI capabilities with semantic layers, retrieval systems, or other knowledge-rich workflows
Experience collaborating directly with business stakeholders and translating workflow pain points into product solutions
Strong communication skills
Experience operating effectively in fast-moving, ambiguous environments with changing priorities.

Benefits

Comp & perks

Health insurance
401(k) matching
Paid time off
Flexible work arrangements
Professional development opportunities