Snowflake

Senior AI Engineer, Enterprise

US-CA-Menlo Park · Senior

Sponsorship not specifiedDetected 8 days ago

PythonReactFastAPIDistributed SystemsBackend DevelopmentFull-Stack DevelopmentSnowflakeKubernetesCI/CDRESTPandasData AnalysisData EngineeringLLMsLangGraphAI OrchestrationTest AutomationCommunicationProblem Solving

About the role

You will work at the intersection of distributed systems, backend engineering, applied AI, and internal product development, designing scalable, reliable, and secure systems that enable intelligent experiences with direct business impact.
Evolve our engineering platform through modern CI/CD pipelines, automated testing, deployment tooling, and developer experience improvements.
Establish engineering best practices around testing, observability, monitoring, evaluation, and production readiness for AI systems.

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.
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.
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.
We develop production-grade AI systems used daily by thousands of employees across Sales, Solution Engineering and Marketing.
As a Senior AI Engineer, you will build the backend services, platform infrastructure, and AI capabilities that power next-generation agentic applications.
This role offers the opportunity to shape a rapidly growing internal AI platform, establish engineering best practices, and build AI products that directly accelerate Snowflake's growth.

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 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.
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 have

Experience with the Snowflake platform, including Snowpark, Cortex AI, Snowpark Container Services, Snowflake Connector, and Snowflake CLI.
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 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.
WHY JOIN OUR TEAM?

Compensation

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 http://careers.snowflake.com

Company info

The GTM AI Engineering team is part of Snowflake's Data Analytics & AI organization and builds the internal AI platform and intelligent applications that power Snowflake's Go-To-Market organization.

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This listing is sourced directly from Snowflake's careers page and normalized into a canonical job model.