Snowflake
Overview
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/ML 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 will be deploying production-grade AI systems using Snowpark, Cortex, and our native LLM capabilities, working at the intersection of product, engineering, and customer success to solve real-world business problems at scale. Base pay range
$157,000.00/yr - $230,000.00/yr
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 customers and influence 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, with a strong command of Python. A passion for tackling complex and ambiguous technical challenges, leveraging cutting-edge research and AI to deliver impactful solutions. Experience building applications or pipelines that involve machine learning models or data-intensive systems. Familiarity with core data science libraries and tools (e.g., pandas, numpy, Snowpark). 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
Advanced degree (Master\'s or PhD) in a relevant field. 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). Excellent problem-solving and communication skills, with an ability to articulate complex technical concepts to diverse stakeholders. Experience in a customer-facing role (e.g., solutions architect, sales engineer, or professional services).
Why 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 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.
Note: Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data.
Compensation
The following represents the expected range of compensation for this role: The estimated base salary range for this role is $157,000 - $230,000. This role is eligible to participate in Snowflake’s bonus and equity plan.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
Software Development
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. 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.
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
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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/ML 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 will be deploying production-grade AI systems using Snowpark, Cortex, and our native LLM capabilities, working at the intersection of product, engineering, and customer success to solve real-world business problems at scale. Base pay range
$157,000.00/yr - $230,000.00/yr
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 customers and influence 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, with a strong command of Python. A passion for tackling complex and ambiguous technical challenges, leveraging cutting-edge research and AI to deliver impactful solutions. Experience building applications or pipelines that involve machine learning models or data-intensive systems. Familiarity with core data science libraries and tools (e.g., pandas, numpy, Snowpark). 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
Advanced degree (Master\'s or PhD) in a relevant field. 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). Excellent problem-solving and communication skills, with an ability to articulate complex technical concepts to diverse stakeholders. Experience in a customer-facing role (e.g., solutions architect, sales engineer, or professional services).
Why 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 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.
Note: Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data.
Compensation
The following represents the expected range of compensation for this role: The estimated base salary range for this role is $157,000 - $230,000. This role is eligible to participate in Snowflake’s bonus and equity plan.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
Software Development
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. 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.
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
#J-18808-Ljbffr