AI Data Engineer Jobs at Adobe with Visa Sponsorship

Adobe builds its AI and data engineering teams around deep machine learning infrastructure, real-time pipelines, and creative intelligence platforms. The company has a consistent track record of sponsoring work visas across engineering functions, making it an actively viable target for international candidates pursuing AI Data Engineer roles.

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Overview

Open Jobs56+
Top Visa TypeGreen Card
Work Type93% On-site
Median Salary$265K
Top LocationSan Jose, CA
Most JobsAdobe

Showing 5 of 56+ AI Data Engineer Jobs at Adobe jobs

Adobe
Principal Data & AI Engineer
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Adobe
Added 2mo ago
Principal Data & AI Engineer
Adobe
San Jose, California
Data Science & Analytics
Data Engineering
Software Engineering
Data Science
AI (Artificial Intelligence)
ML (Machine Learning)
$178,600/yr - $301,600/yr
On-Site
10+ yrs exp.
Bachelor's
10,000+

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Adobe
Principal Engineer AI/ML
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Adobe
Added 2mo ago
Principal Engineer AI/ML
Adobe
San Jose, California
Software Engineering
Data Science & Analytics
Data Engineering
Data Science
$379,100/yr
On-Site
14+ yrs exp.
Bachelor's

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Adobe
Applied Scientist, Generative AI/ML
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Adobe
Added 2mo ago
Applied Scientist, Generative AI/ML
Adobe
San Jose, California
Software Engineering
Data Science & Analytics
Data Engineering
AI (Artificial Intelligence)
ML (Machine Learning)
Data Science
$265,350/yr
On-Site
1+ yr exp.
Doctorate

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Adobe
Staff Applied Scientist, Generative AI/ML
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Adobe
Added 7mo ago
Staff Applied Scientist, Generative AI/ML
Adobe
San Jose, California
Software Engineering
Data Science & Analytics
Data Engineering
AI (Artificial Intelligence)
ML (Machine Learning)
Data Science
$172,500/yr - $306,625/yr
On-Site
4+ yrs exp.
Doctorate
10,000+

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Adobe
Principal Machine Learning Engineer
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Adobe
Added 1mo ago
Principal Machine Learning Engineer
Adobe
San Jose, California
Software Engineering
Data Science & Analytics
Data Engineering
Technical Product & Program Management
AI (Artificial Intelligence)
ML (Machine Learning)
Data Science
Technical Program Management
$379,100/yr
On-Site
8+ yrs exp.
Master's

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See all 56+ AI Data Engineer Jobs at Adobe

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Tips for Finding AI Data Engineer Jobs at Adobe Jobs

Tailor your portfolio to Adobe's stack

Adobe's AI Data Engineer roles center on Spark, Kafka, and cloud-native ML pipelines supporting products like Firefly and Sensei. Showcase projects involving large-scale feature engineering or model serving infrastructure, not general ETL work.

Verify your LCA wage tier early

Before your offer stage, check DOL prevailing wage data for your target metro. Adobe often hires in San Jose, Seattle, and New York, each with different wage levels that directly affect your LCA certification and visa petition timeline.

Target roles that bypass the H-1B lottery

If you hold an Australian passport, the E-3 visa lets you skip the H-1B cap entirely and file year-round. Adobe sponsors E-3 petitions, so flagging your eligibility early in conversations with the recruiting team can accelerate the offer process.

Align your degree field to the role description

USCIS requires that your degree field directly relate to the specialty occupation. For AI Data Engineer positions, a degree in computer science, statistics, or a closely related quantitative field strengthens your H-1B petition and reduces the risk of a Request for Evidence.

Use Migrate Mate to find open AI Data Engineer roles at Adobe

Adobe posts AI Data Engineer openings across multiple teams and locations. Search Migrate Mate to filter for Adobe roles that explicitly support visa sponsorship so you're applying to positions where the hiring team is already aligned on the process.

Confirm CPT authorization with your DSO before interviewing

If you're on F-1 OPT and your EAD expires before an H-1B approval, Adobe's immigration counsel will typically coordinate a cap-gap extension. Confirm your program end date and OPT expiry with your Designated School Official before accepting any offer timeline.

AI Data Engineer at Adobe jobs are hiring across the US. Find yours.

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Frequently Asked Questions

Does Adobe sponsor H-1B visas for AI Data Engineers?

Yes, Adobe sponsors H-1B visas for AI Data Engineer roles. The company works with immigration counsel to file H-1B petitions through the annual lottery for cap-subject candidates. If you're already in H-1B status with another employer, Adobe can file an H-1B transfer without waiting for the next lottery cycle, which significantly shortens your timeline to start.

How do I apply for AI Data Engineer jobs at Adobe?

Apply directly through Adobe's careers portal and clearly note your visa sponsorship needs in your application. Recruiters assess sponsorship eligibility early in the process. To find AI Data Engineer openings at Adobe that are tagged for visa sponsorship, browse Migrate Mate, which filters roles by sponsorship type so you're not guessing which positions are eligible.

Which visa types does Adobe commonly sponsor for AI Data Engineers?

Adobe sponsors H-1B, E-3, TN, F-1 OPT, F-1 CPT, J-1, and Green Card pathways including EB-2 and EB-3 for qualifying AI Data Engineer hires. The right visa depends on your nationality, current status, and degree background. Australian citizens are typically routed through the E-3, which has no lottery and can be filed at any time of year.

What qualifications does Adobe expect for AI Data Engineer roles?

Adobe's AI Data Engineer positions typically require a bachelor's or master's degree in computer science, data engineering, statistics, or a related quantitative field, along with hands-on experience building distributed data systems and ML pipelines. Familiarity with Adobe's product ecosystem, including Experience Platform or Sensei GenAI, can differentiate your application in a competitive candidate pool.

How do I understand the timeline from offer to visa approval at Adobe?

After an offer is signed, Adobe's legal team files a Labor Condition Application with the DOL, which typically certifies within seven business days. The H-1B petition is then submitted to USCIS, with standard processing running several months and premium processing available for a faster adjudication, usually within 15 business days. Starting before your current status expires is critical to maintaining uninterrupted work authorization.

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