engineering
Posted 2 weeks agoForward Deployed Engineer, Applied AI
at Snowflake
On-site
Responsibilities
- 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.
Requirements
- 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.
- 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.
- 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.
- YOU WILL: - Drive Customer Impact: Architect, build, and deploy enterprise-grade AI solutions, including sophisticated AI agents.
- 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.
- 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
- 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). - Strong understanding of data warehousing principles, architecture, and best practices. -
- Experience in a customer-facing role (e.g., solutions architect). - Startup
- experience WHY JOIN OUR TEAM AT SNOWFLAKE? Join us in shaping the future of AI and data cloud technology.
- You'll work with cutting-edge AI tools and technologies while solving complex challenges for enterprise customers.
- Our team offers the unique opportunity to drive innovation at scale, working with some of the world's leading organizations while having access to Snowflake's advanced AI capabilities and infrastructure.
- Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth.
Benefits
- 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
Contact
- benefits information: careers.snowflake.com http://careers.snowflake.com
Additional details
- At Snowflake, we are powering the era of the agentic enterprise.
- 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.
- 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.
- 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.