Senior Artificial Intelligence Engineer, Snowflake
Enterprise
$156-224.2k
Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan
3-5 days a week in office ( Menlo Park, CA)
AI Data Cloud for data sharing and app building
Be an early applicant
AI Data Cloud for data sharing and app building
1001+ employees
Be an early applicant
$156-224.2k
Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan
3-5 days a week in office ( Menlo Park, CA)
1001+ employees
Company mission
On a mission to mobilize the world's data.
Role
Who you are
- 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
Desirable
- 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
What the job involves
- 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. 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. 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
- 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
- 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
Our take
Developed as a fresh alternative to the archaic systems of data governance and information silos, Snowflake is a frictionless cloud data platform that removes the barriers preventing organisations of all sizes from unleashing the true value of their data.
The company equips organizations with a single, integrated platform that offers the only data warehouse built for the cloud; instant, secure and governed access to their entire network of data; and a core architecture to enable many types of data workloads, including a single platform for developing modern data applications.
Major competitors include Azure, SQL and AWS, and Snowflake has managed to keep ahead of the competition, cementing itself as a global force. Across its 1300+ partners, the company's cloud manages over 250PB of data (with more than 515 million data workloads running every day). Its continued focus on product R&D and partnership expansion have Snowflake well-positioned to manage itself amidst the competition.
Freddie
Company Specialist at Welcome to the Jungle
Insights
37% employee growth in 12 months
Company
Funding (last 2 of 9 rounds)
Feb 2020
$479m
SERIES G
Oct 2018
$450m
LATE VC
Total funding: $1.4bn
Company benefits
- Comprehensive health insurance plans
- Health savings accounts
- Robust retirement plans
- Life and disability insurance
- Weekly online lunch and learns
- Virtual workout classes
- Ergonomic work-from-home equipment
- On-demand mental health and wellness programs
- Fertility benefits and family planning resources
- Generous time-off and various leave plans
- Onsite and Remote Work
- Employee discounts and pre-tax selections
- New hire equity + Employee Stock Purchase Plan (ESPP)
- Quarterly bonus or commission program
Company HQ
Menlo Park, CA
Leadership
Benoit Dageville
(Co-Founder & President of Product)Benoit, a leading expert in parallel execution and self-tuning databases, founded Snowflake after 10+ years at Oracle as a lead architect. He holds a PhD in Computer Science and has 270+ patents.
Thierry Cruanes
(Co-Founder)Thierry is a leading expert in query optimization and parallel execution. He has a PhD in Computer Science with a focus in Database Systems and is a named inventor on 200+ patents.
Sridhar Ramaswamy
(Chief Executive Officer)Sridhar joined Snowflake in 2023 via the Neeva acquisition as SVP of AI and later became CEO. He co-founded Neeva and previously led Google’s Ads business, growing it from $1.5B to $100B.
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