Applied AI Engineer

Snowflake•Menlo Park, CA

About The Position

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. Where Data Does More. Join the Snowflake team. 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 Snowpark, Cortex, and our native LLM capabilities.

Requirements

Bachelor’s degree in Computer Science, Engineering, a related technical field, or equivalent practical experience.
2+ 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).
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.

Nice To Haves

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 evaluation in a cloud environment (AWS, Azure, or GCP).
Experience in a customer-facing role (e.g., solutions architect, sales engineer, or professional services).
Startup experience

Responsibilities

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.
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.