Senior AI Software Engineer Jobs at Adobe with Visa Sponsorship
Senior AI Software Engineer jobs at Adobe sit at the intersection of creative technology and machine learning, spanning generative AI, computer vision, and large-scale model deployment across products like Firefly and Acrobat. Adobe has a consistent track record of sponsoring work visas for this function across multiple visa categories.
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Get Access To All JobsINTRODUCTION
Adobe Express helps people and teams create standout content with ease. The AI Foundations team builds the core AI platform that powers creativity across design, imaging, motion, and personalization. We’re looking for an engineer to help develop and scale the AI infrastructure behind these experiences. This role is a strong fit for someone with solid software engineering fundamentals, experience with ML systems, and an interest in building reliable, large-scale platforms that support modern AI products.
You’ll work with experienced engineers to build production systems that power Agentic AI, Create AI, Imaging AI, Motion AI, and Personalization AI. Your work will contribute to important layers of the platform, including model integration, inference services, data pipelines, storage and caching systems, analytics, and evaluation tooling.
ROLE AND RESPONSIBILITIES
Contribute to the development of core platform components that support AI experiences in Adobe Express.
Build and improve backend services, microservices, and workflows that connect models, APIs, data systems, and product features.
Help develop data and inference pipelines for training, evaluation, fine-tuning, and deployment of ML models.
Support runtime systems for inference and orchestration with attention to reliability, observability, and performance.
Work on storage, caching, and data-access patterns to improve efficiency, scalability, and cost.
Collaborate with engineers, researchers, and product teams to deliver production-ready AI capabilities.
Participate in debugging, testing, monitoring, and operational improvements for AI platform services.
BASIC QUALIFICATIONS
3+ years of experience in software engineering, backend infrastructure, data systems, ML infrastructure, or related areas.
Good understanding of distributed systems fundamentals, backend services, and scalable system design.
Experience building or supporting APIs, data pipelines, or event-driven systems.
Proficiency in Python, Typescript, C++, or Go.
Familiarity with cloud environments, service deployment, and production engineering practices.
Exposure to ML systems or LLM-based applications, including model inference, orchestration, or evaluation, is a plus.
Strong problem-solving skills and the ability to work well in a collaborative team environment.
Clear communication skills and willingness to learn from cross-functional partners.
PREFERRED QUALIFICATIONS
Bachelor’s degree or equivalent experience in Computer Science, Machine Learning, Data Science, or a related technical field.
Experience with technologies such as Kafka, Spark, Flink, or similar distributed data frameworks.
Exposure to generative AI systems such as LLMs, multimodal models, or diffusion models.
Familiarity with MLOps concepts such as experiment tracking, model deployment, or evaluation workflows.
Interest in agentic AI concepts such as tool use, task planning, or memory systems.
WHY ADOBE
At Adobe, we’re building the future of creativity through intelligent systems. The AI Foundations team combines platform engineering, applied AI, and product impact to bring powerful creative tools to millions of users. This is an opportunity to grow your technical depth while helping build the systems behind the next generation of AI-powered creative experiences.
ABOUT ADOBE
Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
Let’s Adobe together
At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.
Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.
AI Use Guidelines for Interviews:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.
At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.
EXPECTED PAY RANGE: Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $151,800 -- $265,350 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
In California, the pay range for this position is $183,300 - $265,350.
In Washington, the pay range for this position is $165,600 - $239,725.
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
STATE-SPECIFIC NOTICES:
California:
Fair Chance Ordinances
Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
Colorado:
Application Window Notice Jun 04 2026 12:00 AM
If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
Massachusetts:
Massachusetts Legal Notice
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
INTRODUCTION
Adobe Express helps people and teams create standout content with ease. The AI Foundations team builds the core AI platform that powers creativity across design, imaging, motion, and personalization. We’re looking for an engineer to help develop and scale the AI infrastructure behind these experiences. This role is a strong fit for someone with solid software engineering fundamentals, experience with ML systems, and an interest in building reliable, large-scale platforms that support modern AI products.
You’ll work with experienced engineers to build production systems that power Agentic AI, Create AI, Imaging AI, Motion AI, and Personalization AI. Your work will contribute to important layers of the platform, including model integration, inference services, data pipelines, storage and caching systems, analytics, and evaluation tooling.
ROLE AND RESPONSIBILITIES
Contribute to the development of core platform components that support AI experiences in Adobe Express.
Build and improve backend services, microservices, and workflows that connect models, APIs, data systems, and product features.
Help develop data and inference pipelines for training, evaluation, fine-tuning, and deployment of ML models.
Support runtime systems for inference and orchestration with attention to reliability, observability, and performance.
Work on storage, caching, and data-access patterns to improve efficiency, scalability, and cost.
Collaborate with engineers, researchers, and product teams to deliver production-ready AI capabilities.
Participate in debugging, testing, monitoring, and operational improvements for AI platform services.
BASIC QUALIFICATIONS
3+ years of experience in software engineering, backend infrastructure, data systems, ML infrastructure, or related areas.
Good understanding of distributed systems fundamentals, backend services, and scalable system design.
Experience building or supporting APIs, data pipelines, or event-driven systems.
Proficiency in Python, Typescript, C++, or Go.
Familiarity with cloud environments, service deployment, and production engineering practices.
Exposure to ML systems or LLM-based applications, including model inference, orchestration, or evaluation, is a plus.
Strong problem-solving skills and the ability to work well in a collaborative team environment.
Clear communication skills and willingness to learn from cross-functional partners.
PREFERRED QUALIFICATIONS
Bachelor’s degree or equivalent experience in Computer Science, Machine Learning, Data Science, or a related technical field.
Experience with technologies such as Kafka, Spark, Flink, or similar distributed data frameworks.
Exposure to generative AI systems such as LLMs, multimodal models, or diffusion models.
Familiarity with MLOps concepts such as experiment tracking, model deployment, or evaluation workflows.
Interest in agentic AI concepts such as tool use, task planning, or memory systems.
WHY ADOBE
At Adobe, we’re building the future of creativity through intelligent systems. The AI Foundations team combines platform engineering, applied AI, and product impact to bring powerful creative tools to millions of users. This is an opportunity to grow your technical depth while helping build the systems behind the next generation of AI-powered creative experiences.
ABOUT ADOBE
Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
Let’s Adobe together
At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.
Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.
AI Use Guidelines for Interviews:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.
At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.
EXPECTED PAY RANGE: Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $151,800 -- $265,350 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
In California, the pay range for this position is $183,300 - $265,350.
In Washington, the pay range for this position is $165,600 - $239,725.
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
STATE-SPECIFIC NOTICES:
California:
Fair Chance Ordinances
Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
Colorado:
Application Window Notice Jun 04 2026 12:00 AM
If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
Massachusetts:
Massachusetts Legal Notice
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
See all Senior AI Software Engineer Jobs at Adobe
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Senior AI Software Engineer Jobs at Adobe.
Get Access To All JobsTips for Finding Senior AI Software Engineer Jobs at Adobe
Align your portfolio with Adobe Firefly
Adobe's AI hiring prioritizes generative model experience. Before applying, restructure your portfolio to highlight work on diffusion models, multimodal systems, or content generation pipelines, the exact technical surface area Adobe's Firefly and Sensei teams are actively building on.
Target teams with active LCA filings
Search DOL's OFLC disclosure data for Adobe's Labor Condition Applications filtered to software engineering roles. Teams with recent LCA activity signal active headcount and established sponsorship workflows, which reduces friction when your offer reaches the filing stage.
Clarify sponsorship scope before the final interview
Adobe sponsors multiple visa categories, so ask your recruiter early whether the role supports your specific visa type. Cap-subject H-1B timing and E-3 visa or TN processing differ significantly, and knowing which pathway applies shapes your start date negotiation.
Prepare credential documentation for specialty occupation review
USCIS scrutinizes H-1B petitions for AI roles when the degree field doesn't directly map to the job description. Have transcripts, degree equivalency evaluations, and any graduate coursework in machine learning or computer science ready before your offer letter is issued.
Use Migrate Mate to identify open AI roles at Adobe
Filter by Senior AI Software Engineer and visa type on Migrate Mate to surface currently active Adobe postings that align with your sponsorship eligibility, so you're applying to roles where the hiring team has already indicated sponsorship intent.
Time your H-1B registration around Adobe's offer cycle
Adobe typically recruits for senior engineering roles year-round, but H-1B cap registration opens each March for an October 1 start. If you receive an offer outside that window, confirm whether Adobe will pursue cap-exempt filing or bridge your status with OPT or another category.
Frequently Asked Questions
Does Adobe sponsor H-1B visas for Senior AI Software Engineers?
Yes, Adobe sponsors H-1B visas for Senior AI Software Engineer roles. Adobe is a registered H-1B employer and files Labor Condition Applications with the DOL as part of the petition process. For senior-level AI roles, USCIS will assess whether the position qualifies as a specialty occupation, so having clear documentation of your technical degree and role scope strengthens the petition.
Which visa types does Adobe commonly sponsor for Senior AI Software Engineer roles?
Adobe sponsors H-1B, E-3, TN visa, F-1 OPT, F-1 CPT, J-1 visa, and Green Card pathways including EB-2 and EB-3 for qualifying Senior AI Software Engineer hires. Australian citizens are well-positioned to use the E-3 visa, which has no lottery and processes quickly. Canadian and Mexican nationals can pursue TN visa status under USMCA, often with faster timelines than H-1B.
What qualifications does Adobe expect for Senior AI Software Engineer roles?
Adobe's senior AI engineering roles typically require deep experience in machine learning, deep learning frameworks like PyTorch or TensorFlow, and production model deployment at scale. Experience with generative AI, large language models, or computer vision is particularly relevant given Adobe's Firefly and Sensei product lines. A graduate degree in computer science or a related field strengthens both your candidacy and the H-1B specialty occupation analysis.
How do I apply for Senior AI Software Engineer jobs at Adobe?
You can browse open Senior AI Software Engineer positions at Adobe directly through Adobe's careers site or use Migrate Mate, which filters Adobe's active roles by visa sponsorship eligibility so you can confirm the role supports your visa type before applying. When applying, tailor your resume to Adobe's AI product areas, specifically generative models, multimodal systems, and content intelligence, and be prepared for a multi-round technical interview process covering system design and ML fundamentals.
How do I plan my timeline if Adobe sponsors my H-1B as a Senior AI Software Engineer?
If you're on F-1 OPT when Adobe extends an offer, confirm how much OPT time remains and whether a STEM OPT extension is available to bridge you through the next H-1B registration window. Adobe must submit your H-1B registration in March for an October 1 start date. If you're selected in the lottery, USCIS adjudicates the petition over roughly three to five months, though premium processing can shorten that to 15 business days.