Senior AI Engineer, Enterprise AI Platform

Fdetimes; Menlo Park (CA); On-site; USD 200,000 - 280,000; Full time

Job summary

Snowflake is seeking an AI-native Senior AI Engineer to build backend services, platform infrastructure, and AI capabilities powering internal agentic applications across GTM. You will work at the intersection of distributed systems, backend engineering, and applied AI to deliver scalable, secure systems with direct business impact.

You will collaborate with product managers, data engineers, designers, and GTM stakeholders to accelerate Snowflake's growth and deliver high-impact AI solutions

Qualifications

• 5+ years of professional software engineering experience with a Bachelor's degree 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.

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.

Skills

Python (3.11+)

RESTful APIs

Distributed systems

CI/CD

Docker

LLMs / AI apps

Prompt engineering

LLM orchestration

Communication

Education

Bachelor's degree in Computer Science or related

Tools

FastAPI

Kubernetes

Snowflake Cortex

LangGraph

Snowpark

Job description

Snowflake is seeking an AI-native Senior AI Engineer to build backend services, platform infrastructure, and AI capabilities powering internal agentic applications across GTM. You will work at the intersection of distributed systems, backend engineering, and applied AI to deliver scalable, secure systems with direct business impact.

You will collaborate with product managers, data engineers, designers, and GTM stakeholders to accelerate Snowflake's growth and deliver high-impact AI solutions