OPT AI Platform Engineer Jobs
AI Platform Engineer jobs are among the most OPT-friendly roles in tech right now, with strong demand from employers already set up to sponsor H-1B visas. Most positions require a master's degree in computer science or a related field, which aligns well with the STEM OPT extension that gives you 36 months of authorized work.
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We are seeking a Platform Builder—a Data Engineer focused on developing platforms and scalable data solutions—with strong technical, analytical, communication, and stakeholder management skills. This role sits at the intersection of data engineering, business intelligence, and platform engineering—requiring partnership with software development engineers, scientists, data analysts, and business stakeholders across subscriptions and monitoring services. You will design, implement, and maintain platform features and curated datasets that power subscription lifecycle analytics, monitoring services performance, and self-service reporting, helping us deliver reliable subscriber experiences at greater velocity.
This role requires a thoughtful, fundamentals-driven approach to building robust, observable data infrastructure—from designing efficient pipelines and event-driven architectures, to leveraging automation (including AI-assisted tooling) to optimize code and workflows, to creating platforms that surface actionable insights on business health and service reliability. You will build scalable infrastructure, automate repetitive processes, and create systems that continuously enhance data quality, discoverability, and usability across our subscription and monitoring ecosystem.
Key job responsibilities
You will build and maintain efficient, scalable, and privacy/security-compliant data pipelines, curated datasets for AI/ML consumption, and AI-native self-service data platforms. As a trusted technical partner to business stakeholders and data science teams, you'll deliver well-modeled, easily discoverable data optimized for specific use cases while leveraging agentic frameworks to build continuously improving systems.
A day in the life
- Partner with stakeholders across Subscription, Finance, and Monitoring Service teams to gather requirements and deliver data solutions
- Build and maintain curated datasets supporting agentic analysis of customer lifecycles, churn signals, and service health metrics
- Develop and operate data pipelines using AWS services and internal Amazon tools, incorporating automation to improve efficiency
- Contribute to self-service data platforms that enable stakeholders to access and to explore subscription and monitoring data
- Implement data governance components including data classification, PII detection, and lineage tracking
- Support working sessions that help stakeholders understand and adopt data capabilities collaboratively
About the team
The Agent Platform Organization is at the forefront of Ring's transformation into an AI-powered organization. We address cross-organizational data models, develop governance frameworks, provide direct Business Intelligence support across multiple teams, and build customer-facing and internal tools that fundamentally improve how effectively and quickly the organization makes decisions.
BASIC QUALIFICATIONS
- 1+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
- Experience developing, deploying and managing AI products at scale
PREFERRED QUALIFICATIONS
- Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.
- Knowledge of BI analytics, reporting or visualization tools like Tableau, AWS QuickSight, Cognos or other third-party tools
- Knowledge of AWS Infrastructure
- Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
LOCATION
USA, CA, Hawthorne - 101,300.00 - 160,000.00 USD annually
DESCRIPTION
We are seeking a Platform Builder—a Data Engineer focused on developing platforms and scalable data solutions—with strong technical, analytical, communication, and stakeholder management skills. This role sits at the intersection of data engineering, business intelligence, and platform engineering—requiring partnership with software development engineers, scientists, data analysts, and business stakeholders across subscriptions and monitoring services. You will design, implement, and maintain platform features and curated datasets that power subscription lifecycle analytics, monitoring services performance, and self-service reporting, helping us deliver reliable subscriber experiences at greater velocity.
This role requires a thoughtful, fundamentals-driven approach to building robust, observable data infrastructure—from designing efficient pipelines and event-driven architectures, to leveraging automation (including AI-assisted tooling) to optimize code and workflows, to creating platforms that surface actionable insights on business health and service reliability. You will build scalable infrastructure, automate repetitive processes, and create systems that continuously enhance data quality, discoverability, and usability across our subscription and monitoring ecosystem.
Key job responsibilities
You will build and maintain efficient, scalable, and privacy/security-compliant data pipelines, curated datasets for AI/ML consumption, and AI-native self-service data platforms. As a trusted technical partner to business stakeholders and data science teams, you'll deliver well-modeled, easily discoverable data optimized for specific use cases while leveraging agentic frameworks to build continuously improving systems.
A day in the life
- Partner with stakeholders across Subscription, Finance, and Monitoring Service teams to gather requirements and deliver data solutions
- Build and maintain curated datasets supporting agentic analysis of customer lifecycles, churn signals, and service health metrics
- Develop and operate data pipelines using AWS services and internal Amazon tools, incorporating automation to improve efficiency
- Contribute to self-service data platforms that enable stakeholders to access and to explore subscription and monitoring data
- Implement data governance components including data classification, PII detection, and lineage tracking
- Support working sessions that help stakeholders understand and adopt data capabilities collaboratively
About the team
The Agent Platform Organization is at the forefront of Ring's transformation into an AI-powered organization. We address cross-organizational data models, develop governance frameworks, provide direct Business Intelligence support across multiple teams, and build customer-facing and internal tools that fundamentally improve how effectively and quickly the organization makes decisions.
BASIC QUALIFICATIONS
- 1+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
- Experience developing, deploying and managing AI products at scale
PREFERRED QUALIFICATIONS
- Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.
- Knowledge of BI analytics, reporting or visualization tools like Tableau, AWS QuickSight, Cognos or other third-party tools
- Knowledge of AWS Infrastructure
- Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
LOCATION
USA, CA, Hawthorne - 101,300.00 - 160,000.00 USD annually
See all 335+ OPT AI Platform Engineer Jobs
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Get Access To All JobsTips for Finding OPT Sponsorship as an AI Platform Engineer
Target companies with active H-1B filing history
Employers who regularly file H-1B petitions are far more likely to understand OPT and sponsor you after your authorization period ends. Prioritize companies with engineering teams of 50 or more, where immigration infrastructure already exists.
Emphasize your ML infrastructure experience up front
Hiring managers for AI Platform roles care most about experience with model serving, MLflow, Kubeflow, or similar tooling. Lead with specific systems you have built or maintained, not just the languages or frameworks you know.
Apply during STEM OPT, not at the end of it
Starting your search six to nine months before your OPT expires gives employers realistic runway to prepare an H-1B petition. Waiting until the final months signals urgency that makes risk-averse hiring managers hesitate on sponsorship conversations.
Get your STEM OPT extension filed before the job search
Confirm your I-983 training plan is in order and your extension EAD has been applied for before you start interviewing. Employers will ask about your timeline, and a concrete answer builds confidence that hiring you carries no immediate risk.
Clarify the role qualifies as a specialty occupation
AI Platform Engineer positions almost universally require a bachelor's degree or higher in a specific technical field, which satisfies the specialty occupation standard. Confirm this with your DSO so you can speak to it confidently when the topic arises with employers.
Use Migrate Mate to find OPT-friendly AI Platform roles
Migrate Mate filters for employers who are actively open to OPT candidates, so you spend less time cold-applying to companies that will reject you at the visa question. Browse current AI Platform Engineer listings to shortlist realistic targets before you reach out.
AI Platform Engineer OPT: Frequently Asked Questions
Do AI Platform Engineer jobs qualify for the STEM OPT extension?
Yes, in most cases. AI Platform Engineer roles fall under CIP codes in computer science or electrical engineering, which are on the STEM Designated Degree Program list. Your degree field, not the job title, determines STEM OPT eligibility, so confirm with your DSO that your program qualifies. Once confirmed, you get 24 additional months on top of your initial 12-month OPT period.
How does the practical training requirement work for AI Platform Engineer positions?
Your job must be directly related to your degree field. For AI Platform Engineers, roles involving model deployment, infrastructure automation, distributed systems, or data pipeline architecture almost always satisfy this requirement given their connection to computer science and engineering coursework. Document this connection carefully in your I-983 training plan, which your employer must sign and your DSO must approve before your STEM OPT extension is granted.
Will employers sponsor an H-1B visa after my OPT period ends?
Many do, but it varies by company size, budget, and hiring philosophy. Large tech companies and well-funded AI startups are the most consistent sponsors because they have legal teams set up to handle immigration. AI Platform Engineer is a high-demand, specialized role, which strengthens your negotiating position. Start the H-1B conversation early in the hiring process rather than after an offer is made.
Can I work as a contractor or on a project basis while on OPT?
Yes, but with conditions. OPT allows self-employment and contract work as long as the work is directly related to your degree. For AI Platform Engineers, contract engagements in machine learning infrastructure or cloud platform development typically qualify. You must work at least 20 hours per week to remain in valid OPT status, and unemployment gaps beyond 90 days cumulatively can jeopardize your authorization.
Where can I find AI Platform Engineer jobs that accept OPT candidates?
Migrate Mate is built specifically for this. The platform surfaces AI Platform Engineer roles from employers who are open to OPT candidates and have a track record of sponsoring visas, so you can filter out companies that will reject your application at the authorization step. Browse current listings on Migrate Mate to identify realistic targets based on your graduation date and OPT timeline.