AI Engineer Jobs at Snowflake with Visa Sponsorship
AI Engineer jobs at Snowflake involve building and scaling the data infrastructure that powers enterprise machine learning. The company has a consistent track record of sponsoring work visas across engineering functions, making it a realistic target if you're on F-1 OPT, H-1B visa, or another employer-sponsored pathway.
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Get Access To All JobsINTRODUCTION
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
ABOUT THE TEAM
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.
ROLE AND RESPONSIBILITIES
In this role, you will:
- 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.
BASIC QUALIFICATIONS
We would love to hear from you if you have:
- 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.
PREFERRED QUALIFICATIONS
- 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.
WHY JOIN OUR TEAM?
Joining the GTM AI Engineering team means building AI products that have a direct and measurable impact on Snowflake's business. You'll help define the architecture of our internal AI platform while developing intelligent applications used every day by thousands of employees across our global Go-To-Market organization.
This is a unique opportunity to combine backend engineering, distributed systems, and applied AI to solve real business problems at scale. You'll work alongside world-class engineers and product leaders while helping shape how AI transforms the way Snowflake operates internally.
If you're passionate about building production-grade AI systems, enjoy solving complex engineering challenges, and want to help define the future of enterprise AI, we'd love to hear from you.
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
COMPENSATION
The following represents the expected range of compensation for this role:
- The estimated base salary range for this role is $156,000 - $224,200.
- Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan.
The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.
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.
INTRODUCTION
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
ABOUT THE TEAM
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.
ROLE AND RESPONSIBILITIES
In this role, you will:
- 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.
BASIC QUALIFICATIONS
We would love to hear from you if you have:
- 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.
PREFERRED QUALIFICATIONS
- 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.
WHY JOIN OUR TEAM?
Joining the GTM AI Engineering team means building AI products that have a direct and measurable impact on Snowflake's business. You'll help define the architecture of our internal AI platform while developing intelligent applications used every day by thousands of employees across our global Go-To-Market organization.
This is a unique opportunity to combine backend engineering, distributed systems, and applied AI to solve real business problems at scale. You'll work alongside world-class engineers and product leaders while helping shape how AI transforms the way Snowflake operates internally.
If you're passionate about building production-grade AI systems, enjoy solving complex engineering challenges, and want to help define the future of enterprise AI, we'd love to hear from you.
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
COMPENSATION
The following represents the expected range of compensation for this role:
- The estimated base salary range for this role is $156,000 - $224,200.
- Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan.
The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.
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.
See all AI Engineer Jobs at Snowflake
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Engineer Jobs at Snowflake.
Get Access To All JobsTips for Finding AI Engineer Jobs at Snowflake
Frame your ML experience around data pipelines
Snowflake's AI Engineering roles center on large-scale data processing, not just model development. Highlight experience with distributed systems, feature stores, or LLM inference pipelines to match the technical profile their hiring managers screen for.
Target teams building Cortex and Snowpark
Snowflake's AI product surface is concentrated in Cortex AI and Snowpark for Python. Applying to roles tied to these products signals genuine platform knowledge and puts you in front of teams that have actively grown their engineering headcount.
Start OPT applications before your graduation date
USCIS recommends filing OPT applications up to 90 days before your program end date. If you're targeting a Snowflake new-grad cohort, late filing shrinks your authorized work window and can complicate your start date alignment with their onboarding cycles.
Clarify H-1B cap timing during offer negotiations
H-1B cap-subject petitions can only be filed for an October 1 start. If Snowflake extends an offer outside the lottery window, confirm whether they'll bridge you on OPT STEM extension or use cap-exempt status to avoid a gap in authorization.
Use Migrate Mate to filter verified AI Engineer openings
Snowflake posts AI Engineer roles across multiple teams at different seniority levels. Use Migrate Mate to filter active openings by visa type so you're applying to positions that match your current immigration status and sponsorship needs.
Prepare your credentials before the PERM labor certification stage
If Snowflake pursues an EB-2 or EB-3 Green Card for you, DOL's PERM process requires documented proof of your qualifications. Gather official transcripts, employment records, and any credentials evaluations early so the filing isn't delayed by missing paperwork.
Frequently Asked Questions
Does Snowflake sponsor H-1B visas for AI Engineers?
Yes, Snowflake sponsors H-1B visas for AI Engineers. The company participates in the annual H-1B cap lottery and supports both initial petitions and transfers for engineers already in H-1B status. If you're cap-subject, your employment start date will align with the October 1 fiscal year start, so factor that into your offer timeline.
How do I apply for AI Engineer jobs at Snowflake?
Applications go through Snowflake's careers portal, where AI Engineer roles are listed by team and seniority level. Migrate Mate aggregates these openings and lets you filter by visa sponsorship type, which saves time if you need to confirm a role supports your specific status before applying. Tailor your resume to the specific product area the role supports.
Which visa types does Snowflake commonly use for AI Engineers?
Snowflake sponsors H-1B, F-1 OPT, F-1 CPT, TN visa, J-1 visa, and employment-based Green Cards including EB-2 and EB-3 for AI Engineers. F-1 candidates on STEM OPT get a 24-month extension beyond the standard 12 months, which gives Snowflake and the employee more runway before an H-1B lottery cycle is needed.
What qualifications does Snowflake expect for AI Engineer roles?
Snowflake's AI Engineer positions typically require a bachelor's or master's degree in computer science, machine learning, or a related engineering field. Beyond credentials, the teams prioritize hands-on experience with large-scale data systems, Python-based ML frameworks, and cloud infrastructure. Roles tied to Cortex AI or Snowpark often expect familiarity with LLM tooling and vector search.
How do I understand the H-1B petition timeline for a Snowflake offer?
USCIS opens H-1B cap registration in March each year, with lottery selection announced shortly after. If selected, Snowflake files your full petition between April and June for an October 1 start. If you're currently on OPT or STEM OPT, confirm with your Snowflake recruiter that your work authorization covers the gap between your start date and October 1.