Software Engineer AI Team

Posted One Month Ago
Be an Early Applicant
Warsaw, Warszawa, Mazowieckie, POL
Hybrid
Mid level
Artificial Intelligence • Big Data • Cloud • Machine Learning • Software • Database • Analytics
Let's build a world where data and AI turn possibilities into reality.
The Role
Develop and serve AI platforms, improve AI functionality, solve ambiguous technical problems, and collaborate with research, engineering, business, and product teams. The role involves production-quality backend development, API and SDK construction, software engineering best practices, mentoring, leadership, and potentially deploying machine learning models through MLOps.
Summary Generated by Built In

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.

We’re at the forefront of the data revolution, committed to building the world’s greatest data and applications platform. Our ‘get it done’ culture allows everyone at Snowflake to have an equal opportunity to innovate on new ideas, create work with a lasting impact, and excel in a culture of collaboration.

We're looking for a talented and motivated Software Engineer to join the Cortex AI Functions Platform team. AI functions are how Snowflake customers call AI directly from SQL, running models over their own tables without moving data out of the platform. Our team builds the platform that makes this work at data warehouse scale, where a single statement can expand into a large volume of inference requests that must complete predictably, within expected cost, and without compromising the query when a dependency degrades or fails.

Current projects include a new architecture for multi-modal inference, quality gates that let us ship new functions and models with confidence at batch scale, and support for input data beyond plain text. Alongside these, we work continuously on throughput, cost and reliability as customer usage grows, and on making failures in the inference path easier to detect, diagnose and recover from.

For this role, you don’t need to have a research background, including pre-training or fine-tuning models.

Your journey as a Software Engineer

Working in our team you will:

  • Think creatively to find optimal solutions to our complex, often ambiguous problems

  • Participate in all stages of building and running the platform behind Snowflake’s AI functions, from design and implementation through rollout and production support

  • Work closely with research teams, as well as product and engineering partners, to understand and shape the short and long-term product development strategy

  • Serve as a mentor to less experienced engineers

Ideal candidate
  • 4+ years of experience building production backend or distributed systems in C++, Java, Go, Python, or a comparable language

  • BSc in a technical field (CS, EE, Physics, Math, etc), MSc/PhD is a plus

  • Experience designing and operating high-throughput services, including handling concurrency, backpressure, partial failures, and observability

  • Experience designing service or RPC APIs, such as REST or gRPC

  • Experience with software engineering best practices (programming, testing, version control, CI/CD, containers, agile development, etc)

  • Experience with building distributed systems that guarantee high throughput without compromising on reliability

  • High levels of curiosity and eager enthusiasm for open-ended problems, and the ability to turn a loosely defined problem into a scoped, testable design

  • Ability to articulate results and complex concepts to leadership

  • Must be able to produce solutions independently in an organized manner, as well as work in a team

  • Experience with SQL engines, query execution, or other large-scale data systems is a strong asset

  • Hands-on experience in the MLOps field (e.g., deploying ML models) is a plus

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

Skills Required

  • 3+ years of experience writing production-quality, scalable code using backend languages such as Go, Java, C++, or Python
  • Bachelor of Science in a technical field such as AI/ML, computer science, data science, physics, or mathematics
  • Professional-level experience building SDKs and web service APIs using REST or gRPC
  • Experience with software engineering best practices, including programming, testing, version control, CI/CD, Docker, Kubernetes, Jenkins, and Agile development
  • Curiosity and enthusiasm for open-ended problems, including problem formulation from abstract information
  • Ability to articulate results and complex concepts to leadership
  • Ability to work independently, collaborate in teams, and lead a team when required
  • Hands-on MLOps experience, such as deploying machine learning models
  • Master of Science or PhD in a technical field

Snowflake Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Snowflake and has not been reviewed or approved by Snowflake.

  • Fair & Transparent Compensation — Pay is often characterized as top‑of‑market across multiple roles. The company also points to a Fair Pay Workplace certification, signaling externally reviewed pay‑equity practices.
  • Equity Value & Accessibility — Equity is a meaningful part of total compensation, with new‑hire grants, refresh potential, and a discounted ESPP with a favorable lookback. Feedback suggests this ownership component materially boosts perceived total rewards.
  • Leave & Time Off Breadth — Parental leave is described as up to 26 weeks paid in the U.S., paired with flexible or generous PTO and multiple leave types. Family‑building benefits and a dedicated parental‑leave hub further expand support.

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The Company
HQ: Bozeman, MT
9,023 Employees
Year Founded: 2012

What We Do

Snowflake powers the end-to-end data lifecycle – from ingesting and processing data to analyzing and modeling it, to building and sharing data and AI applications – helping engineers, analysts, and leaders innovate faster and achieve more with their data. We're on a mission to empower every enterprise to achieve its full potential through data and AI.

Why Work With Us

Snowflake is where data does more, and so do you. More innovating, more growing, and more collaborating. Here, you’ll find the sweet spot between building big and moving fast, in technology and your career.

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