# Senior AI Engineer, Enterprise

**Company:** [Snowflake](https://hotfix.jobs/companies/snowflake)
**Location:** Menlo Park, CA
**Role:** ML Engineering
**Salary:** $156k – $224k/yr
**Experience:** 5+ years
**Skills:** Python, FastAPI, Distributed Systems, Microservices, Docker, LLMs, Prompt Engineering, LangGraph, Snowpark, Cortex Ai, CI/CD, Kubernetes
**Posted:** 2026-07-14

> Senior AI Engineer building scalable backend services, distributed systems, and reusable AI platform components (agent frameworks, evaluation pipelines, SDKs) that power Snowflake's internal agentic applications for GTM teams. Requires 5+ years software engineering experience, strong Python/FastAPI skills, and production LLM experience.

## Job Description

## Responsibilities
- Design and build scalable backend services and distributed systems that power production AI and agentic applications.
- Develop APIs, orchestration services, and platform capabilities for internal AI products.
- Build reusable AI platform components, including agent frameworks, evaluation pipelines, developer SDKs, templates, and shared Python libraries.
- Evolve our engineering platform through modern CI/CD pipelines, automated testing, deployment tooling, and developer experience improvements.
- Optimize AI infrastructure and backend services for performance, scalability, reliability, security, and cost efficiency.
- Leverage Snowflake Cortex, Snowpark, and the broader Snowflake AI ecosystem to build intelligent data applications.
- Establish engineering best practices around testing, observability, monitoring, evaluation, and production readiness for AI systems.
- Collaborate closely with product managers, data engineers, designers, and GTM stakeholders to deliver high-impact AI solutions.
- Stay current with advances in AI engineering and help drive adoption of modern technologies, frameworks, and development practices across the team.

## Requirements
- 5+ years of professional software engineering experience with a Bachelor's degree (or higher) in Computer Science, Software Engineering, or a related technical field.
- Strong proficiency in Python (3.11+) with experience writing production-quality, well-tested, maintainable code using modern Python practices.
- Experience building RESTful APIs and backend services using FastAPI or similar frameworks.
- Experience designing and operating distributed systems and microservice architectures.
- Strong understanding of software engineering best practices, including testing, CI/CD, code quality, observability, and production operations.
- Experience with containerization technologies such as Docker.
- Hands-on experience building production AI applications using large language models.
- Experience with prompt engineering, tool calling, structured outputs, and LLM orchestration frameworks.
- Strong problem-solving skills, excellent communication, and the ability to work effectively in a fast-paced, collaborative environment.

## Nice-to-Haves
- Experience with the Snowflake platform, including Snowpark, Cortex AI, Snowpark Container Services, Snowflake Connector, and Snowflake CLI.
- Experience building agentic applications using frameworks such as LangGraph or similar multi-agent orchestration frameworks.
- Experience with AI evaluation, monitoring, guardrails, and observability frameworks.
- Familiarity with model serving, inference optimization, and AI infrastructure.
- Experience working with large-scale data platforms, ETL pipelines, and modern data engineering workflows.
- Experience building full-stack AI applications using Streamlit, React, or similar frameworks.
- Experience with Python data libraries such as pandas and NumPy.
- Familiarity with modern AI development tools such as Cursor, Claude Code, Cortex Code, or similar AI-assisted development environments.
- Experience working with cloud-native infrastructure and Kubernetes is a plus.

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