Software Engineer, Applied AI

The available sources do not contain information about the company name for rounx.com.; Town of Poland (NY); On-site; USD 120,000 - 170,000; Full time

Job summary

Snowflake is hiring a Software Engineer, Applied AI in New York to build and deploy enterprise-grade AI solutions, including advanced AI agents, using Snowflake's AI Platform and Cortex. You will work with customers to solve business challenges at scale.

Responsibilities include architecting, developing, and productionizing AI systems, designing ML pipelines, evaluating frameworks, and ensuring observability. Growth opportunities exist for junior to senior engineers as ownership grows.

Qualifications

• 3+ years of software engineering experience
• Hands-on experience developing and shipping LLM-based or ML applications
• Strong data modeling, ETL/ELT, and performance tuning skills

Responsibilities

• Design ML pipelines and contribute to evaluation frameworks.
• Productionize AI systems and ensure observability across components.

Skills

Python

Java

C++

ML

MLOps

AWS

Azure

GCP

Data modeling

ETL

Tools

Snowflake Cortex

LLM Platform

Job description

Software Engineer, Applied AI at Snowflake is a hands-on role focused on building and deploying enterprise-grade AI solutions, including advanced AI agents. The ideal candidate will architect, develop, and productionize AI systems using Snowflake's AI Platform, Cortex, and native LLM capabilities, working closely with customers to solve complex business challenges at scale. Responsibilities include designing ML pipelines, contributing to evaluation frameworks, ensuring observability, and collaborating cross-functionally with product and engineering teams to shape the future of Snowflake's AI offerings.

Candidates should have 3+ years of software engineering experience, with proven expertise in Python, Java, or C++, and hands-on experience developing and shipping LLM-based or ML applications. Strong skills in data modeling, ETL/ELT, and performance tuning are required, along with the ability to translate ambiguous business needs into scalable solutions. Experience with MLOps, cloud environments (AWS, Azure, GCP), and agentic workflows is a plus. This role offers growth opportunities for junior to senior engineers, with increasing ownership and impact as they demonstrate technical judgment and cross-team collaboration.