Level

Snowflake

Principal Forward Deployed Engineer I, Frontier Engineering

Snowflake is hiring a Principal Forward Deployed Engineer I, Frontier Engineering in Menlo Park, United States. It pays $264k-$380k a year and Level rates it ; you can apply on Level.

AI in this role

rag

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.

Snowflake is about empowering enterprises to achieve their full potential, and people too. With a culture that's all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology and careers to the next level.

We are hiring a Principal Forward Deployed Engineer for our Frontier Engineering team. This team embeds directly with Snowflake's most strategic customers to design, build, and deploy production-grade AI systems . At the Principal level, you are the senior technical counterpart to CTOs, VPs of Engineering, and chief architects at our largest enterprise customers; you set the technical direction that the Frontier Engineering organization follows.

AS A PRINCIPAL FORWARD DEPLOYED ENGINEER YOU WILL:

  • Be the trusted technical partner to customer engineering leadership: Build durable, peer-level relationships with CTOs, VPs of Engineering, chief architects, and heads of data/AI at Snowflake’s most strategic accounts: lead architectural steering, technical reviews, and executive strategy alignment to help shape their AI roadmaps.

  • Drive Architecture & Technical Strategy Across High-Stakes Deployments: Own end-to-end technical execution and outcomes across Snowflake’s most complex, high-visibility AI engagements.

  • Stay hands-on: Write production code and working prototypes on the most critical parts of customer programs, and review designs and code to set the bar for how the team builds.

  • Own the AI quality bar: Lead how the team measures and improves AI quality, turning ambiguous customer goals into clear, testable evaluation standards.

  • Provide Technical Leadership & Mentorship: Mentor Senior and Staff engineers, raise engineering standards across the organization, and partner with cross-functional leads to drive complex technical initiatives.

  • Travel to Customer Sites: Spend at least 25% of your time onsite working with customers.

OUR IDEAL CANDIDATE WILL HAVE:

  • 15+ years of software engineering experience, including at least 3 years building and shipping production AI/ML or agentic systems at enterprise scale.

  • Proven track record as a trusted technical advisor to CTOs and executive engineering leaders at large enterprises.

  • Demonstrated success converting client/field delivery patterns into reusable platforms, tools, frameworks, or open-source libraries.

  • Deep expertise in production AI architectures—including RAG pipelines, multi-step agentic systems, evaluation frameworks, and guardrails.

  • Hands-on builder who writes and reviews production code and stays close to implementation.

  • Strong systems mindset with exceptional technical communication skills across both deeply technical and executive audiences.

BONUS POINTS FOR THE FOLLOWING:

  • Experience shipping features into a commercial data or AI platform, based on customer requirements.

  • Active contributions to open-source AI frameworks, technical publications, or industry speaking engagements.

  • Familiarity with Cortex AI, Snowpark, or modern enterprise data infrastructure platforms.

WHY JOIN FRONTIER ENGINEERING AT SNOWFLAKE?

Frontier Engineering is where Snowflake’s AI platform meets reality. You’re not building demos, you’re shipping AI applications that run in some of the world’s most complex enterprise environments. You will work on hard problems with real stakes, alongside engineers who are deeply technical and customer-obsessed.

How do you want to make your impact?

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

How do you want to make your impact?

For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

How we rate this

Principal Forward Deployed Engineer I, Frontier Engineering at Snowflake rates 72 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAG

Also common in forward deployed engineer jobs at this level

Pay

This job starts at
$264k
Typical forward deployed engineer job
$182k

This posting starts 45% above the typical forward deployed engineer job. See forward deployed engineer jobs

Questions you could be asked

  1. How would you design a retrieval step so the model answers from real data instead of guessing?
  2. Describe a typical day in a role like this one: which parts run through AI directly?
  3. If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

  • List these exact terms on your resume: RAG. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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