Forward Deployed Engineer, Applied AI

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 a Forward Deployed Engineer, Applied AI 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.

• 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.

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 product ionizing 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).

• Strong understanding of data warehousing principles, architecture, and best practices.

• Experience in a customer‑facing role (e.g., solutions architect).

• Start…