В Snowflake это понятная hands-on роль principal-уровня с оплатой выше рыночного ориентира и возможностью запускать AI-системы для крупных компаний; главный компромисс - регулярная работа на площадках клиентов.
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Работа у клиентовСовременный AIВысокая оплатаПонятная рольПродуктовый AI
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
TL;DR
Principal Forward Deployed Engineer (AI/ML): Designing, building, and deploying production-grade AI systems for Snowflake’s strategic enterprise customers with an accent on RAG pipelines, agentic systems, evaluation frameworks, and guardrails. Focus on setting technical direction, writing production code, advising executive engineering leaders, and solving complex AI deployment challenges at enterprise scale.
Location: Menlo Park, California, United States; at least 25% of the role is spent onsite at customer locations.
Salary: $264,000–$379,500 annually.
Company
Snowflake provides an enterprise data and AI platform focused on helping organizations build and operate production-grade AI systems.
What you will do
Act as a trusted technical partner to CTOs, VPs of Engineering, chief architects, and data and AI leaders.
Own architecture, technical strategy, and end-to-end execution for complex AI deployments.
Write production code and prototypes, review designs and code, and establish engineering standards.
Define and improve AI quality through measurable evaluation standards, testing, and guardrails.
Mentor Senior and Staff engineers and lead complex cross-functional technical initiatives.
Travel to customer sites and spend at least 25% of working time onsite.
Requirements
15+ years of software engineering experience, including at least 3 years building and shipping production AI, ML, or agentic systems at enterprise scale.
Experience advising CTOs and senior engineering leaders at large enterprises.
Deep expertise in production AI architectures, including RAG pipelines, multi-step agentic systems, evaluation frameworks, and guardrails.
Strong hands-on software engineering, systems thinking, and technical communication skills for technical and executive audiences.
Experience turning field delivery patterns into reusable platforms, tools, frameworks, or open-source libraries.
Ability to work onsite with customers for at least 25% of the time.
Nice to have
Experience shipping customer-driven features into a commercial data or AI platform.
Contributions to open-source AI frameworks, technical publications, or industry speaking engagements.
Familiarity with Cortex AI, Snowpark, or modern enterprise data infrastructure platforms.
Culture & Benefits
Impact-focused culture centered on innovation and collaboration.
Work on production AI applications used in complex enterprise environments.
Close collaboration with deeply technical, customer-focused engineers.
Salary and benefits information is provided through the Snowflake Careers Site.
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