STEM OPT AI Platform Engineer Jobs
AI Platform Engineer roles sit squarely within STEM-designated fields, making them a strong fit for the 24-month STEM OPT extension. Your employer must be enrolled in E-Verify and sign your I-983 training plan. Eligible degrees typically include computer science, electrical engineering, and related CIP-coded disciplines.
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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 STEM OPT AI Platform Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new STEM OPT AI Platform Engineer Jobs.
Get Access To All JobsTips for Finding STEM OPT Authorization as an AI Platform Engineer
Verify your degree qualifies by CIP code
Not every computer science or engineering degree automatically qualifies. Cross-reference your degree's CIP code against the STEM Designated Degree Program list that USCIS recognizes before you apply, so there are no surprises when your DSO files the extension.
Check E-Verify enrollment before accepting offers
An employer that isn't enrolled in E-Verify cannot legally employ you on STEM OPT. Search the E-Verify employer search tool by company name before you start the offer negotiation, not after you've signed.
Build a portfolio that proves production-scale work
AI Platform Engineer roles require demonstrating infrastructure experience at scale, not just model experimentation. Include Kubernetes cluster management, MLOps pipelines, or distributed training setups in your portfolio so hiring managers can map your work to the I-983 training plan objectives.
Use O*NET to align your training plan tasks
The I-983 requires concrete, role-specific training goals. Pull the task and knowledge requirements directly from the O*NET occupation profile for AI and ML engineers to draft training objectives your employer can sign off on without back-and-forth.
Target employers with existing PERM or H-1B filing history
Companies that have filed PERM labor certifications or H-1B visa petitions for engineering roles already have compliant processes for STEM OPT. Use Migrate Mate to filter AI Platform Engineer roles by employers with that verified DOL filing history.
File your STEM OPT extension 90 days before OPT expires
USCIS processing can run several months, and your filing window opens 90 days before your current EAD expires. Submitting late risks an authorization gap that pauses your employment, which is especially disruptive mid-sprint on a platform infrastructure project.
Frequently Asked Questions
Does an AI Platform Engineer role qualify for the STEM OPT extension?
Yes, provided your employer is enrolled in E-Verify and your degree falls under a STEM-designated CIP code. Roles focused on building and maintaining ML infrastructure, distributed compute systems, or AI deployment pipelines align directly with STEM-designated fields such as computer science, computer engineering, and electrical engineering. Confirm your specific degree CIP code against the current STEM Designated Degree Program list before filing.
What should the I-983 training plan cover for this role?
Your I-983 must describe concrete, role-specific learning goals tied to your STEM degree, not generic job duties. For an AI Platform Engineer, that means training objectives around areas like distributed training infrastructure, MLOps pipeline design, container orchestration, or model serving architecture. Use the O*NET occupation profile for AI and ML engineers to identify task-level language your employer can review and sign. USCIS may audit the plan, so vague entries create risk.
How do I confirm my employer is enrolled in E-Verify?
Use the E-Verify employer search tool, which is publicly available through the E-Verify program, to search by company name or employer identification number before accepting an offer. Enrollment status can change, so verify it after receiving an offer letter, not just during initial research. If an employer is not enrolled, they must complete enrollment before your STEM OPT employment can begin, which can delay your start date.
What happens to my work authorization if my H-1B is selected in the lottery while I'm on STEM OPT?
If your employer files an H-1B petition on your behalf and it's selected in the lottery, the cap-gap rule extends your STEM OPT work authorization automatically through September 30 of that fiscal year, or until USCIS adjudicates your petition, whichever comes later. You don't need to file a new EAD during the cap-gap period, but your employer should confirm they filed before your STEM OPT EAD expired.
Where can I find AI Platform Engineer jobs from employers who support STEM OPT?
Migrate Mate filters AI Platform Engineer roles by employers with verified E-Verify enrollment and DOL filing history, so you're not spending time on companies that can't legally employ STEM OPT students. Searching there narrows your list to employers who have already demonstrated a willingness to sponsor and comply with the documentation requirements your STEM OPT extension demands.