Snowflake · 11 hours ago
Applied AI Engineer
Snowflake is about empowering enterprises to achieve their full potential, and they are seeking an Applied AI Engineer to join their Cortex AI team. In this role, you will architect, build, and deploy enterprise-grade AI solutions, collaborating with customers and internal teams to leverage AI for solving complex business challenges.
Artificial Intelligence (AI)Cloud ComputingEnterprise SoftwareBig DataSoftwareAnalyticsCloud Data ServicesData Management
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
Qualification
Required
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
Preferred
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
Benefits
Medical, dental, vision, life, and disability insurance
401(k) retirement plan
Flexible spending & health savings account
At least 12 paid holidays
Paid time off
Parental leave
Employee assistance program
Other company benefits
Company
Snowflake
Snowflake is a cloud data platform that provides a data warehouse as a service designed for the cloud.
H1B Sponsorship
Snowflake has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (428)
2024 (281)
2023 (154)
2022 (182)
2021 (113)
2020 (98)
Funding
Current Stage
Public CompanyTotal Funding
$2.03BKey Investors
Dragoneer Investment Group,Global Secure Invest,Salesforce VenturesSequoia CapitalAltimeter Capital,ICONIQ Growth,Sequoia Capital
2022-04-19Post Ipo Equity· $621.46M
2020-09-16IPO
2020-02-07Series G· $479M
Leadership Team
Recent News
2026-02-08
2026-02-07
Company data provided by crunchbase