Applied AI Engineer

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. At Snowflake, we are building a high-impact team to help the world’s most innovative companies unlock the power of AI. As an Applied AI Engineer in our Cortex AI team, you will be a hands-on builder and a critical technical partner to our most strategic customers, placing you at the forefront of the enterprise AI revolution. You won't just be working with cutting-edge technology; you will be deploying it to solve real-world business problems at a massive scale. This role places you at the intersection of product, engineering, and customer success, building production-grade AI systems using Snowflake AI Platform, Cortex, and our native LLM capabilities. IN THIS ROLE AT SNOWFLAKE, YOU WILL: - Drive Customer Impact: Architect, build, and deploy enterprise-grade AI solutions, including sophisticated AI agents. Own the end-to-end lifecycle from prototype to production, directly solving our customers' most complex business challenges. - Deliver with Velocity: Rapidly design, iterate, and ship high-quality code and ML pipelines. Translate ambiguous business objectives into robust, scalable, and performant solutions using Python and SQL. - Productionize AI at Scale: Own the full lifecycle of AI solution implementation, from developing prototypes to deploying, monitoring, and optimizing them in secure, large-scale production environments. - Be a Strategic Technical Advisor: Partner directly with customer data science and engineering teams, serving as a technical expert and trusted advisor on how to best leverage AI for their business challenges. - Ensure Operational Excellence: Architect and implement rigorous data validation, maintain strict SLA observability, and manage complex system interdependencies to guarantee reliable AI performance. - Collaborate to Innovate: Work cross-functionally with Snowflake’s Product and Engineering teams to share real-world feedback from the customers, directly influencing the future of Snowflake's AI platform. WE'RE LOOKING FOR CANDIDATES WHO HAVE: Minimum Qualifications: - Bachelor’s degree in Computer Science, Engineering, a related technical field, or equivalent practical experience. - 3+ years of professional software engineering experience, - A passion for tackling complex and ambiguous technical challenges, leveraging cutting-edge research and AI to deliver impactful solutions. - Experience building, evaluating and tuning applications and pipelines that involve machine learning models or data-intensive systems. Familiarity with core data science libraries and tools (e.g., pandas, numpy, Snowpark). - Proven hands-on experience with data modeling, ETL/ELT development, and performance tuning. - Advanced proficiency in Python, with experience scripting and automating data workflows. - Excellent problem-solving and communication skills, with an ability to articulate complex technical concepts to diverse stakeholders. - A desire to thrive in a fast-paced, dynamic environment and the ability to adapt quickly to the ever-changing world of Generative AI. Preferred Qualifications: - Proven experience building and productionizing applications using LLMs, especially with technologies like RAG and agentic workflows. - Hands-on experience with the MLOps lifecycle, including model deployment, monitoring, and evaluatio