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Snowflake

Runs a cloud platform for business data and AI

Senior Principal Forward Deployed Engineer - Frontier Engineering

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeMenlo Park, CA, USA$304k - $437k /yr

About the Job

Requirements

  • 15+ years of software engineering experience, including a sustained track record of building and shipping production AI/ML or agentic systems at enterprise scale.
  • Proven track record serving as a trusted technical advisor to CTOs and executive engineering leaders at large enterprises, and setting technical direction across multiple strategic accounts or enterprise programs.
  • Demonstrated success converting client and field delivery patterns into reusable platforms, tools, frameworks, reference architectures, or open-source libraries adopted across teams or customers.
  • Deep expertise in production AI architectures, including retrieval-augmented generation pipelines, multi-step agentic systems, evaluation frameworks, guardrails, observability, security, and operating models for enterprise-scale adoption.
  • Hands-on technical leadership, including writing and reviewing production code, staying close to implementation, and moving from executive strategy to critical technical details.
  • Systems thinking and technical communication across technical and executive audiences, with the ability to influence without formal authority and align multiple organizations around a common technical strategy.

Responsibilities

  • Serve as the senior technical authority and architectural leader for customer engineering leadership by building durable, peer-level relationships with CTOs, VPs of Engineering, chief architects, and heads of data and AI at strategic accounts; lead architectural steering, technical reviews, and executive strategy alignment; and shape multi-year AI roadmaps across a portfolio of customers.
  • Set technical strategy, architecture, and execution models across multiple complex, high-visibility AI engagements; own end-to-end outcomes, arbitrate cross-system tradeoffs, and establish patterns that scale across customers, teams, and business units.
  • Translate recurring customer needs and deployment learnings into product requirements, partner with Product and Engineering leaders, and drive adoption of capabilities that improve outcomes across the field.
  • Write production code and working prototypes on critical or ambiguous parts of customer programs, review designs and code, and demonstrate technical depth and judgment.
  • Define organization-level standards for evaluation, observability, reliability, security, guardrails, and responsible deployment; turn ambiguous customer goals into clear, testable measures and ensure consistent application across engagements.
  • Mentor Principal, Staff, and Senior engineers; develop technical leads; raise engineering standards across the organization; and lead through influence across Engineering, Product, Sales, and other cross-functional teams.
  • Spend at least 25% of work time onsite at customer sites.

Desired Qualifications

  • Experience leading cross-organizational technical initiatives that improve how enterprise AI solutions are designed, deployed, and adopted.
  • Active contributions to open-source AI frameworks, technical publications, or industry speaking engagements.
  • Familiarity with Cortex AI, Snowpark, or modern enterprise data infrastructure platforms.

About the Company

Snowflake

Runs a cloud platform for business data and AI

Snowflake runs a cloud platform where businesses store and analyze data, build AI tools, and share information under common access controls. Its platform separates stored data from computing resources, letting teams run different workloads without maintaining database servers. Analysts query business records with SQL, while developers use Python and other languages to build applications and train models against the same data; Cortex connects AI models to company records so teams build assistants and automate analysis. Customers pay for storage and computing usage across Amazon, Microsoft, and Google infrastructure. Snowflake was founded in 2012 and has its headquarters in Menlo Park, California.

Company size
10,001+
Company stage
IPO
Headquarters
Menlo Park, CA
Founded
2012

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