AI Engineer Jobs at Snowflake with Visa Sponsorship
Snowflake hires AI Engineers to build and scale 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, or another employer-sponsored pathway.
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INTRODUCTION
Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level. Snowflake is about empowering enterprises to achieve their full potential and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology and careers to the next level.
ABOUT THE ROLE
The Cortex Code team is building the future of coding agents for working with data. See our flagship product in action: Cortex Code in Action: Live Demos + AMA. As a Staff AI Engineer on Cortex Code Quality, you will help define architect agent behavior at enterprise scale by building the agentic systems and methodology that make our users build cutting-edge agentic systems that are efficient, repeatable, auditable, and shippable. You’ll partner with modeling, platform, and product leadership to turn customer pain into golden scenarios, metrics, and experiment loops that the whole team can trust.
YOUR ROLE AND RESPONSIBILITIES
What you will do in this role:
- Agent strategy & systems: Own major pillars of the quality stack: tuning agent behavior to engage on next generation agentic coding tasks.
- Hill-climb infrastructure: Design and evolve pipelines and tooling that support large-scale experimentation, error mining, and iteration on prompts/tools/workflows with clear before/after signals.
- Deep analysis & prioritization: Lead postmortems on quality regressions; cluster failure modes; translate findings into a prioritized roadmap for engineering and modeling partners.
- Cross-functional leadership: Align product, infra, and applied AI on what “good” means for critical customer workflows; mentor engineers and uplevel eval craft across the team.
- Production-minded rigor: Ensure quality systems are dependable in practice—reproducible runs, stable datasets, versioning, and operational clarity when things drift.
BASIC QUALIFICATIONS
- Bachelor’s degree in Computer Science, Engineering, Statistics, or a related field. Master’s or higher preferred but not a requirement.
- 8+ years of experience shipping AI/ML-backed software in production, including Staff-level ownership of technical direction, cross-team delivery, and mentoring.
- Strong track record building and operating eval harnesses, measurement, and/or experimentation loops for LLM/agent systems—not only one-off benchmarks.
- Proficiency in programming languages such as Python, TypeScript, Go (strong in at least two).
- Exceptional communication skills: crisp writeups, constructive debate, and ability to influence without authority across engineering and product.
- (Optional) Experience with data engineering pipelines (dbt, Airflow), data modeling, data analysis, retrieval systems, and semantic layers is a plus.
PREFERRED QUALIFICATIONS
- Deep experience with agentic coding tools (IDE agents, CLI agents) and intuition for model strengths, failure modes, and prompting limits.
- Background in data engineering (dbt, Airflow), analytics, retrieval / RAG, or semantic layers—highly relevant for data-centric coding agents.
- Prior work on LLM observability, safety/guardrails, or quality systems used as release gates in production.
You may be a particularly good fit if you:
- Have built and owned complex quality + data pipelines—substantial state, branching logic, and operational requirements.
- Thrive in high-intensity environments with short feedback loops and high standards for rigor.
- Take ambiguous “quality is slipping” problems to completion: you care about clear metrics, reproducibility, and sustained improvement—not one-off score bumps.
- Are a power user of modern coding agents and care about turning intuition into systematic measurement and team-wide practice.
ABOUT SNOWFLAKE
Snowflake is the AI Data Cloud trusted by the world's most innovative companies. We're shipping production-ready AI applications at scale and want you to join us in building the future of how businesses interact with their data through Cortex Code, Cortex agents, Cortex analyst, Cortex search. 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.
COMPENSATION
The following represents the expected range of compensation for this role:
- The estimated base salary range for this role is $236,000 - $339,200.
- 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.
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.

INTRODUCTION
Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level. Snowflake is about empowering enterprises to achieve their full potential and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology and careers to the next level.
ABOUT THE ROLE
The Cortex Code team is building the future of coding agents for working with data. See our flagship product in action: Cortex Code in Action: Live Demos + AMA. As a Staff AI Engineer on Cortex Code Quality, you will help define architect agent behavior at enterprise scale by building the agentic systems and methodology that make our users build cutting-edge agentic systems that are efficient, repeatable, auditable, and shippable. You’ll partner with modeling, platform, and product leadership to turn customer pain into golden scenarios, metrics, and experiment loops that the whole team can trust.
YOUR ROLE AND RESPONSIBILITIES
What you will do in this role:
- Agent strategy & systems: Own major pillars of the quality stack: tuning agent behavior to engage on next generation agentic coding tasks.
- Hill-climb infrastructure: Design and evolve pipelines and tooling that support large-scale experimentation, error mining, and iteration on prompts/tools/workflows with clear before/after signals.
- Deep analysis & prioritization: Lead postmortems on quality regressions; cluster failure modes; translate findings into a prioritized roadmap for engineering and modeling partners.
- Cross-functional leadership: Align product, infra, and applied AI on what “good” means for critical customer workflows; mentor engineers and uplevel eval craft across the team.
- Production-minded rigor: Ensure quality systems are dependable in practice—reproducible runs, stable datasets, versioning, and operational clarity when things drift.
BASIC QUALIFICATIONS
- Bachelor’s degree in Computer Science, Engineering, Statistics, or a related field. Master’s or higher preferred but not a requirement.
- 8+ years of experience shipping AI/ML-backed software in production, including Staff-level ownership of technical direction, cross-team delivery, and mentoring.
- Strong track record building and operating eval harnesses, measurement, and/or experimentation loops for LLM/agent systems—not only one-off benchmarks.
- Proficiency in programming languages such as Python, TypeScript, Go (strong in at least two).
- Exceptional communication skills: crisp writeups, constructive debate, and ability to influence without authority across engineering and product.
- (Optional) Experience with data engineering pipelines (dbt, Airflow), data modeling, data analysis, retrieval systems, and semantic layers is a plus.
PREFERRED QUALIFICATIONS
- Deep experience with agentic coding tools (IDE agents, CLI agents) and intuition for model strengths, failure modes, and prompting limits.
- Background in data engineering (dbt, Airflow), analytics, retrieval / RAG, or semantic layers—highly relevant for data-centric coding agents.
- Prior work on LLM observability, safety/guardrails, or quality systems used as release gates in production.
You may be a particularly good fit if you:
- Have built and owned complex quality + data pipelines—substantial state, branching logic, and operational requirements.
- Thrive in high-intensity environments with short feedback loops and high standards for rigor.
- Take ambiguous “quality is slipping” problems to completion: you care about clear metrics, reproducibility, and sustained improvement—not one-off score bumps.
- Are a power user of modern coding agents and care about turning intuition into systematic measurement and team-wide practice.
ABOUT SNOWFLAKE
Snowflake is the AI Data Cloud trusted by the world's most innovative companies. We're shipping production-ready AI applications at scale and want you to join us in building the future of how businesses interact with their data through Cortex Code, Cortex agents, Cortex analyst, Cortex search. 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.
COMPENSATION
The following represents the expected range of compensation for this role:
- The estimated base salary range for this role is $236,000 - $339,200.
- 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.
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.
See all 40+ AI Engineer at Snowflake jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Engineer at Snowflake roles.
Get Access To All JobsTips for Finding AI Engineer Jobs at Snowflake Jobs
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.
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.
AI Engineer at Snowflake jobs are hiring across the US. Find yours.
Find AI Engineer at Snowflake JobsFrequently 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, J-1, 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.
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