OPT AI Product Engineer Jobs
AI Product Engineer roles sit at the intersection of machine learning and product development, making them a strong fit for F-1 OPT students with STEM degrees in computer science, data science, or AI. Most roles qualify for the 24-month STEM OPT extension, giving you up to three years of authorized work experience.
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Get Access To All JobsINTRODUCTION
Our vision is to transform how the world uses information to enrich life for all.
Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.
We're hiring a versatile AI Product Engineer to join our Business Function team — a hybrid builder-strategist who can define, design, and deliver AI-enabled solutions that move the needle on business outcomes.
This role is uniquely positioned at the intersection of business strategy, AI capability, and engineering execution. You'll own the what and the why of AI products in the business function, while being deeply fluent in the how — prototyping, scaling, and operationalizing innovative AI solutions.
You will be the connective tissue between collaborators, data, and AI — translating ambiguous business problems into shipped, adopted, and measurable AI products!
Responsibilities:
- Own the end-to-end product lifecycle for AI solutions in the business function — from vision, roadmap, and backlog to adoption and measurable outcomes.
- Lead discovery — user research, persona development, and requirements gathering — and maintain the product vision, roadmap, and prioritized backlog.
- Serve as the single voice of the customer for the agile delivery team; translate business needs into user stories with clear acceptance criteria and facilitate backlog refinement, sprint planning, demos, and release planning.
- Prototype GenAI and Agentic AI solutions, including prompt/context engineering and evaluation.
- Integrate LLMs via APIs, function/tool calling, and structured outputs; test and validate AI agents that automate or augment business workflows.
- Partner with data engineering to identify data sources, design pipelines/ETL, and ensure data quality, security, governance, and observability at scale.
- Direct UX/UI design in partnership with developers; lead training, change management, and adoption strategy; build feedback loops for continuous iteration.
Minimum Qualifications:
- A Master's degree or equivalent experience in Engineering, Data Science, Business Management, Information Systems, or a related area.
- 3+ years of experience across product management/ownership, business process analysis, data science, software development, and/or data engineering in semiconductor industry or related field.
- Hands-on experience building and deploying LLM/GenAI applications, with strong Python, SQL, and data manipulation skills.
- Experience deploying applications and applying software engineering fundamentals — testing, version control, and API design.
- Strong customer and collaborator communication, backlog management, and systems-thinking skills to translate ambiguous business problems into shipped AI products.
Preferred Qualifications:
- Prior experience as a Product Owner, Data Scientist, or Data Engineer.
- Proven experience partnering with business function stakeholders (Finance, Supply Chain, Sales, or Business Unit teams).
- MLOps/LLMOps tooling and production AI experience.
- Experience with Snowflake/Cortex and vector databases.
- Experience building multi-agent systems.
As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits.
Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.
To learn about your right to work click here.
To learn more about Micron, please visit micron.com/careers.
For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron’s People Organization at hrsupport_na@micron.com or 1-800-336-8918 (select option #3).
Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.
Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.
AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.
Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.
INTRODUCTION
Our vision is to transform how the world uses information to enrich life for all.
Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.
We're hiring a versatile AI Product Engineer to join our Business Function team — a hybrid builder-strategist who can define, design, and deliver AI-enabled solutions that move the needle on business outcomes.
This role is uniquely positioned at the intersection of business strategy, AI capability, and engineering execution. You'll own the what and the why of AI products in the business function, while being deeply fluent in the how — prototyping, scaling, and operationalizing innovative AI solutions.
You will be the connective tissue between collaborators, data, and AI — translating ambiguous business problems into shipped, adopted, and measurable AI products!
Responsibilities:
- Own the end-to-end product lifecycle for AI solutions in the business function — from vision, roadmap, and backlog to adoption and measurable outcomes.
- Lead discovery — user research, persona development, and requirements gathering — and maintain the product vision, roadmap, and prioritized backlog.
- Serve as the single voice of the customer for the agile delivery team; translate business needs into user stories with clear acceptance criteria and facilitate backlog refinement, sprint planning, demos, and release planning.
- Prototype GenAI and Agentic AI solutions, including prompt/context engineering and evaluation.
- Integrate LLMs via APIs, function/tool calling, and structured outputs; test and validate AI agents that automate or augment business workflows.
- Partner with data engineering to identify data sources, design pipelines/ETL, and ensure data quality, security, governance, and observability at scale.
- Direct UX/UI design in partnership with developers; lead training, change management, and adoption strategy; build feedback loops for continuous iteration.
Minimum Qualifications:
- A Master's degree or equivalent experience in Engineering, Data Science, Business Management, Information Systems, or a related area.
- 3+ years of experience across product management/ownership, business process analysis, data science, software development, and/or data engineering in semiconductor industry or related field.
- Hands-on experience building and deploying LLM/GenAI applications, with strong Python, SQL, and data manipulation skills.
- Experience deploying applications and applying software engineering fundamentals — testing, version control, and API design.
- Strong customer and collaborator communication, backlog management, and systems-thinking skills to translate ambiguous business problems into shipped AI products.
Preferred Qualifications:
- Prior experience as a Product Owner, Data Scientist, or Data Engineer.
- Proven experience partnering with business function stakeholders (Finance, Supply Chain, Sales, or Business Unit teams).
- MLOps/LLMOps tooling and production AI experience.
- Experience with Snowflake/Cortex and vector databases.
- Experience building multi-agent systems.
As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits.
Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.
To learn about your right to work click here.
To learn more about Micron, please visit micron.com/careers.
For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron’s People Organization at hrsupport_na@micron.com or 1-800-336-8918 (select option #3).
Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.
Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.
AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.
Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.
See all 334+ OPT AI Product Engineer Jobs
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Get Access To All JobsTips for Finding OPT Sponsorship as an AI Product Engineer
Lead with your STEM OPT eligibility
AI Product Engineer roles almost universally qualify for the 24-month STEM OPT extension. Mentioning your eligibility upfront removes the employer's biggest concern and signals you've done the homework on your own authorization status.
Target companies with active H-1B sponsorship history
Companies that have sponsored H-1B visas before are significantly more likely to support OPT employees through the transition. Focus your applications on employers with a documented pattern of sponsoring technical roles in machine learning or product engineering.
Position your AI skills around business outcomes
Hiring managers for product-facing AI roles care about shipped features and measurable impact, not just model accuracy. Frame your experience around what you built, who used it, and what improved. This shifts the conversation from authorization to value.
Apply early in your OPT window
Many employers hesitate when OPT expiration is close. Applying within the first six months of your initial OPT period gives companies confidence they'll have time to evaluate you and begin H-1B planning well before your authorization runs out.
Build a portfolio of deployed AI work
Demonstrated product thinking sets AI Product Engineers apart from pure researchers. Showcase projects where you integrated a model into a real application, handled edge cases, and iterated based on user feedback. GitHub and personal projects both count.
Be direct about your timeline in interviews
Proactively explaining your OPT timeline, STEM extension eligibility, and H-1B lottery calendar builds trust rather than creating uncertainty. Employers appreciate candidates who understand the process and can plan around it without requiring hand-holding.
AI Product Engineer OPT: Frequently Asked Questions
Do AI Product Engineer jobs qualify for the 24-month STEM OPT extension?
Most do, provided your degree is in a STEM-designated field such as computer science, electrical engineering, data science, or a related discipline. The role itself must also be directly related to your field of study. AI Product Engineer positions typically satisfy this requirement given their foundation in applied machine learning and software systems, but your DSO must confirm eligibility based on your specific degree and CIP code.
How do I find AI Product Engineer employers who are open to OPT candidates?
Migrate Mate is built specifically for F-1 OPT students and surfaces AI Product Engineer roles at companies that have demonstrated willingness to sponsor or support international candidates. Filtering by OPT-friendly employers saves time compared to applying broadly and hitting walls mid-process. Prioritize companies with an existing H-1B sponsorship track record in technical roles, since that signals a clear pathway beyond your initial authorization period.
What happens to my OPT if I'm laid off from an AI Product Engineer role?
You have a 60-day grace period from the date your employment ends to find a new OPT-authorized position, transfer to a different visa status, or depart the U.S. During this window, you cannot work. If you secure a new role within 60 days, your DSO updates your SEVIS record with the new employer. Staying unemployed beyond 60 days puts you out of status, so it's critical to act quickly.
Can I work as a contractor or freelancer as an AI Product Engineer on OPT?
Yes, OPT permits self-employment and independent contracting as long as the work is directly related to your degree field and you can document it properly. For an AI Product Engineer, this typically means contract projects involving model development, AI integration, or product feature work. You must log hours in your SEVIS record and ensure each engagement is clearly tied to your field of study to remain compliant.
Does having a master's degree versus a bachelor's degree affect my OPT options for this role?
Your OPT period is the same regardless of degree level: 12 months of initial OPT plus a potential 24-month STEM extension if you qualify. However, a master's degree in a STEM field does improve your H-1B lottery odds, since master's graduates from U.S. institutions are entered into both the regular cap and the advanced degree exemption pool. For AI Product Engineer roles specifically, a master's also tends to open doors to more senior product and research-adjacent positions.