AI Product Engineer Jobs at Microsoft with Visa Sponsorship
AI Product Engineer jobs at Microsoft sit at the intersection of large-scale AI systems and real-world product delivery. Microsoft has a well-established visa sponsorship infrastructure that covers multiple nonimmigrant and immigrant pathways, making it a realistic target for international candidates in this function.
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Overview
As Microsoft continues to push the boundaries of AI, we are on the lookout for passionate individuals to work with us on the most interesting and challenging AI questions of our time. Our vision is bold and broad — to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It’s also inclusive: we aim to make AI accessible to all — consumers, businesses, developers — so that everyone can realize its benefits. Microsoft AI (MAI) is seeking experienced Product Engineers to help build the Copilot web experiences which are available on copilot.microsoft.com, Edge Browser and Window OS. You’ll work in a deeply iterative, collaborative, fast-paced environment to bring our technology to millions of users around the world, and ensure it’s delivered with safety and reliability in mind. We value engineers who are self-starters, care deeply about the end user experience, and take pride in building products to solve customer needs. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. By applying to this U.S. Mountain View, CA position, you are required to be local to the San Francisco area and in office 3 days a week. Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.
Responsibilities
In this role, you will:
- Ship delightful, AI powered experiences that will shape how millions of people will interact with AI in the future
- Collaborate with AI researchers, product managers, and designers to bring a world-class AI companion to the world
- Design and build efficient and reusable front-end systems that drive complex web applications
- Plan and deploy front end infrastructure necessary to build, test, and deploy our products
- Join a small team of world class product engineers with deep frontend expertise who are obsessed with building beautiful and performant products
- Embody our Culture and Values
Qualifications
Required Qualifications
- Bachelor’s degree in computer science, or related technical discipline AND 4+ years software engineering experience building web products at scale by coding in languages including, but not limited to, Typescript and React OR equivalent experience.
Preferred Qualifications
- Bachelor’s degree in computer science, or related technical discipline AND 10+ years software engineering experience building web products at scale by coding in languages including, but not limited to, Typescript and React OR Master's Degree in Computer Science, or related technical discipline AND 8+ years software engineering experience building web products at scale by coding in languages including, but not limited to, Typescript and React OR equivalent experience.
- Have 0 to 1 experience with a bias towards shipping and learning, while balancing a high-quality bar.
- Thrive in a fast-paced, collaborative environment and are comfortable making progress in ambiguity.
- Enjoy working closely with cross-functional partners and teammates in an inclusive, curious culture.
- Take a user-centric approach to product development, prioritizing solutions that result in the best user experience and have the technical expertise to pull it off.
Compensation
Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year. Certain roles may be eligible for benefits and other compensation.
Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year. Certain roles may be eligible for benefits and other compensation.
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances.
If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
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Get Access To All JobsTips for Finding AI Product Engineer Jobs at Microsoft
Align your portfolio to Azure AI products
Microsoft's AI Product Engineer hiring focuses heavily on Azure-native experience. Before applying, restructure your portfolio to highlight work with Azure OpenAI, Cognitive Services, or Copilot integrations. Reviewers screen for platform fluency, not just general ML engineering.
Target teams with active LCA filings
Search the DOL's OFLC disclosure data for Microsoft LCA filings under job titles like AI Product Engineer or Applied AI Engineer. Teams with recent filings signal active headcount and established sponsorship workflows, making your application more likely to move forward.
Verify your E-3 eligibility before interviewing
If you hold Australian citizenship, Microsoft supports the E-3 visa, which bypasses the H-1B lottery entirely. Confirm your degree field maps directly to the role's specialty occupation requirements before your first technical screen, so you can answer sponsorship questions confidently.
Request premium processing during offer negotiation
USCIS premium processing for H-1B petitions cuts adjudication to roughly 15 business days. During offer negotiation, ask your Microsoft recruiter whether premium processing is included. For AI Product Engineer roles with a defined start date, this timeline matters practically.
Build your credentials around Microsoft's specialty occupation standard
USCIS requires H-1B roles to qualify as specialty occupations, meaning a specific bachelor's degree field must be theoretically required. For AI Product Engineer positions, document that your degree in computer science, AI, or a directly related field aligns with the role's posted requirements.
Use Migrate Mate to find open roles that match your visa type
Filter AI Product Engineer openings at Microsoft by the visa categories they support before applying. Migrate Mate lets you browse current roles by sponsorship type, so you spend time only on positions where your specific visa pathway is already confirmed.
Frequently Asked Questions
Does Microsoft sponsor H-1B visas for AI Product Engineers?
Yes, Microsoft sponsors H-1B visas for AI Product Engineer roles. As a large employer with an established immigration team, Microsoft handles the full petition process including the Labor Condition Application filed with the DOL and the I-129 petition submitted to USCIS. Australian citizens can also apply via the E-3 visa, which avoids the H-1B lottery entirely.
How do I apply for AI Product Engineer jobs at Microsoft?
Apply directly through Microsoft's careers portal or browse current openings filtered by sponsorship type on Migrate Mate. Microsoft's AI Product Engineer hiring typically involves a recruiter screen, technical assessments focused on AI systems design and product thinking, and a final loop with cross-functional interviews. Tailoring your application to Azure AI product areas improves your chances of passing the initial screen.
Which visa types does Microsoft typically use for AI Product Engineer roles?
Microsoft sponsors H-1B visas for most international hires in this function. Australian citizens are eligible for the E-3 visa, which has a separate annual allocation and no lottery. For longer-term pathways, Microsoft also sponsors EB-2 and EB-3 Green Card categories, typically initiated after a period of H-1B employment once the employee and role meet PERM labor certification requirements.
What qualifications does Microsoft expect for AI Product Engineer roles?
Microsoft expects a bachelor's degree or higher in computer science, artificial intelligence, software engineering, or a closely related field. For H-1B sponsorship purposes, USCIS requires the role to qualify as a specialty occupation, so your degree field must align directly with the position. Practical experience with large language models, Azure AI services, and cross-functional product development carries significant weight in the evaluation.
How do I manage visa timing when starting an AI Product Engineer role at Microsoft?
H-1B petitions can only be filed for an October 1 start if selected in the April lottery, which affects how you plan your offer acceptance. If you're on OPT, confirm your OPT expiration date against your anticipated start date and discuss cap-gap coverage with your Microsoft HR contact. E-3 applicants can schedule a consular interview and receive approval within weeks, offering a faster path for Australians.