Job Description

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.

Senior Software Engineer with 10+ years of experience in full stack application development, specializing in building AI/ML-powered systems and leveraging AI-native development workflows Proven ability to design scalable applications, integrate LLM capabilities, and enhance engineering productivity using tools like Claude Code and Snowflake Cortex.

CORE RESPONSIBILITIES:

• Design and develop end-to-end full stack applications (frontend, backend, APIs)

• Build and integrate AI/ML and LLM-powered features into production systems

• Develop scalable backend services and distributed systems architectures

• Leverage Snowflake Cortex and Snowpark for data-driven AI applications

• Collaborate with cross-functional teams to deliver customer-facing intelligent solutions

• Optimize applications for performance, scalability, and reliability
  

AI-NATIVE ENGINEERING EXPERTISE:

• Strong hands-on experience with AI Model for Code Generation (e.g., Anthropic's Claude, OpenAI's GPT-Codex) or similar for:

  • Code generation, refactoring, and debugging

  • Designing structured prompts and reusable workflows

• Ability to create and manage skills and profiles in AI Models to streamline development tasks

• Experience with AI-assisted development (Claude co-work model) to improve productivity and code quality

• Familiarity with prompt engineering, reasoning workflows, and human-in-the-loop systems

TECHNICAL SKILLS:

• Languages: Python, Java, JavaScript/TypeScript

• Frontend: React, Angular (or similar frameworks)

• Backend: REST APIs, microservices, distributed systems

• AI/ML: LLM integration, NLP, model inference

• Cloud & Data: Snowflake (Cortex, Snowpark), AWS/Azure/GCP

• Tools: Docker, Kubernetes, CI/CD pipelines
  

NICE TO HAVE:

• Experience with RAG architectures, embeddings, and vector databases

• Knowledge of MLOps and model deployment pipelines

• Familiarity with large-scale data platforms and ETL workflows

• Working knowledge of snowflake and snowflake technologies

• Experience with building production AI assistants at the enterprise level

Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.

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