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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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.
We are looking for a Senior Solution Engineer who is accustomed to solving customer’s most complex problems and closing large deals. In this role you will work directly with the sales team and channel partners to understand the needs of our customers, strategize on how to navigate winning sales cycles, provide compelling value-based demonstrations, support enterprise Proof of Concepts, and ultimately close business.
As a Snowflake Solution Engineer you must share our passion about reinventing the database space, thrive in a dynamic environment and have the flexibility and willingness to jump in and get things done. You are equally comfortable in both a business and technical context, interacting with executives and talking shop with technical audiences.
IN THIS ROLE YOU WILL GET TO:
- Present Snowflake technology and vision to executives and technical contributors at prospects and customers
- Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation
- Immerse yourself in the ever-evolving industry, maintaining a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them
- Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing
ON DAY ONE WE WILL EXPECT YOU TO HAVE:
- 5-7+ years of industry experience with a minimum of 5 years within a pre-sales environment
- Outstanding presenting skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
- 5+ years of experience building and deploying machine learning and generative AI solutions in the cloud
- Possesses a proactive curiosity for the AI landscape, striving to be a visionary and technical thought partner for customers navigating the space
- A proven ability to leverage AI code generation tools to accelerate productivity and efficiency
- Broad range of experience within large-scale Database and/or Data Warehouse technology, ETL, analytics and cloud technologies. For example, Data Lake, Data Mesh, Data Fabric
- Hands-on expertise with SQL, SQL analytics, and Python
- Ability to connect a customer’s specific business problems and Snowflake’s solutions
- Ability to do deep discovery of customer’s architecture framework and connect those with Snowflake Data Architecture
- University degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred. Masters in Data Science or Business Administration is a plus
- Experience with GSIs (EY, Deloitte, Accenture, etc), would be beneficial, but not required
- Expect approximately 30% travel
ABOUT OUR TEAM
Our Solution Engineers are customer obsessed and we believe in the value we can add and stay honest about it. We love to learn, are open to giving and receiving feedback and are passionate about making our clients successful. Our team works to ensure data is accessible, usable and valuable to everyone.
Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.
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?
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
The following represents the expected range of compensation for this role:
- This role is eligible to participate in Snowflake's commission plan and it is common for employees in this role to receive total on-target earnings of $220,000 - $288,750. The estimated base salary for this role is $165,000 - $216,562.
- Additionally, this role is eligible to participate in Snowflake’s 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.
To comply with pay transparency requirements and other statutes, you can notify us if you believe that a job posting is not compliant by completing this form.
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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.