Green Card AI Product Engineer Jobs
AI Product Engineer roles sit squarely in EB-2 and EB-3 territory: employers file a PERM labor certification with the DOL, then sponsor your I-140 petition for permanent residency. Most AI product roles require a bachelor's or master's in computer science, making green card sponsorship straightforward to document and defend.
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Get Access To All JobsINTRODUCTION
Founded in 1977 as the Senior Care Action Network, SCAN began with a simple but radical idea: that older adults deserve to stay healthy and independent. That belief was championed by a group of community activists we still honor today as the “12 Angry Seniors.” Their mission continues to guide everything we do.
Today, SCAN is a nonprofit health organization serving more than 500,000 people across Arizona, California, Nevada, New Mexico, Texas, and Washington, with over $8 billion in annual revenue. With nearly five decades of experience, we have built a distinctive, values-driven platform dedicated to improving care for older adults.
Our work spans Medicare Advantage, fully integrated care models, primary care, care for the most medically and socially complex populations, and next-generation care delivery models. Across all of this, we are united by a shared commitment: combining compassion with discipline, innovation with stewardship, and growth with integrity.
At SCAN, we believe scale should strengthen—not dilute—our mission. We are building the future of care for older adults, grounded in purpose, accountability, and respect for the people and communities we serve.
THE JOB
As an AI Product Owner, you will serve as the strategic driver behind SCAN’s agentic AI platform, translating vision into actionable outcomes. You’ll own the requirements, validation strategy, and delivery of value, ensuring that robust, scalable, and innovative AI solutions meet evolving business needs. Your expertise will be pivotal in identifying organizational patterns and transforming them into proposals for new AI functionality, positioning the platform at the forefront of enterprise innovation.
You’ll collaborate with cross-functional teams—including engineering, product, business, and compliance—to shape and deliver impactful AI features. By fostering strong partnerships and sharing technical knowledge, you’ll ensure solutions are practical, scalable, and aligned with business goals.
ESSENTIAL JOB FUNCTIONS:
Requirements & Feature Ownership
- Gather, refine, and prioritize technical and business requirements for platform features and agents.
- Translate business needs and organizational patterns into clear, actionable specifications for engineering teams.
- Make trade-off decisions regarding implementation (e.g. AI vs. non-AI) and maintain a prioritized feature backlog.
Platform Strategy & Roadmapping
- Use market headwind/tailwind to scope and envision AI platform features, expanding from workflows, scheduling, triggers, and integration points.
- Strategize and roadmap development of APIs, Model Context Protocol (MCP), and knowledge/data management systems.
- Ensure seamless integration with internal and external data sources and services.
Business Alignment & Pattern Recognition
- Analyze organizational processes and identify recurring patterns that can be addressed with AI functionality.
- Propose and design new features that directly address business needs and drive measurable impact.
- Collaborate with cross-functional teams to ensure solutions are practical, scalable, and compliant.
Test Strategy & Quality Assurance
- Define acceptance criteria and test strategies for platform features and agents.
- Ensure rigorous validation of AI functionality and alignment with business goals.
- Define KPIs and oversee test coverage, reliability, performance metrics, and evals.
Documentation & Knowledge Sharing
- Maintain clear, up-to-date documentation for requirements, test strategies, workflows, APIs, and agents.
- Share technical knowledge and best practices with engineering and business teams.
- We seek Rebels who are curious about AI and its power to transform how we operate and serve our members.
- Actively support the achievement of SCAN’s Vision and Goals.
- Other duties as assigned.
YOUR QUALIFICATIONS
- Bachelor's Degree or equivalent experience in Computer science, Engineering, or a related field.
- Demonstrates deep technical proficiency in AI platform architecture, agentic orchestration, workflow automation, and context engineering.
- Collaborates effectively with cross-functional teams—including engineering, product, business, and compliance—to deliver robust, scalable AI solutions.
- Communicates complex technical concepts clearly to both technical and non-technical stakeholders.
- Proactively identifies organizational patterns and translates them into actionable AI feature proposals.
- Exhibits strong stakeholder management and change leadership skills, driving alignment and adoption across the organization.
- Develops and executes comprehensive test strategies for complex AI systems, ensuring quality and reliability.
- Maintains up-to-date documentation and shares best practices to foster a culture of continuous learning and improvement.
- Demonstrates familiarity with vectors, embeddings, knowledge representation, and knowledge graph or graph RAG.
- Shows proficiency with Azure AI Studio, Azure ML, Cognitive Services, Azure OpenAI, API Management Gateway, MCP Gateway, AI Search Service, Snowflake, and Databricks.
PREFERRED CERTIFICATIONS OR LICENSES:
- SAFe Agile Certification or equivalent agile product ownership certification.
- Relevant certifications in Azure AI (e.g., Azure AI Engineer Associate, Azure Data Scientist Associate) or other cloud AI platforms.
- Certifications in data engineering, machine learning, or AI solution architecture are a plus.
EXPERIENCE PREFERRED:
- Experience in AI platform architecture, agentic orchestration, workflow automation, or context engineering.
- Hands-on experience with Azure AI Studio, Azure ML, Cognitive Services, Azure OpenAI, API Management Gateway, MCP Gateway, and AI Search Service.
- Experience with Snowflake, Databricks, or similar data platforms.
- Background in healthcare (health plan/payer environment preferred), regulated industries, or enterprise-scale AI deployments.
- Proven ability to translate business needs into technical requirements and deliver outcomes through cross-functional teams.
- Strong stakeholder management, communication, and change leadership skills.
- Demonstrated ability to envision comprehensive test strategies for complex AI systems.
WHAT'S IN IT FOR YOU?
- Base Salary Range: $106,200 to $182,983 annually
- An annual employee bonus program
- Robust Wellness Program
- Generous paid-time-off (PTO)
- 11 paid holidays per year, 1 floating holiday, birthday off, and 2 volunteer days
- Excellent 401(k) Retirement Saving Plan with employer match
- Robust employee recognition program
- Tuition reimbursement
- An opportunity to become part of a team that makes a difference to our members and our community every day!
We're always looking for talented people to join our team! Qualified applicants are encouraged to apply now!
At SCAN we believe that it is our business to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects our community through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more.
SCAN is proud to be an Equal Employment Opportunity and Affirmative Action workplace. Individuals seeking employment will receive consideration for employment without regard to race, color, national origin, religion, age, sex (including pregnancy, childbirth or related medical conditions), sexual orientation, gender perception or identity, age, marital status, disability, protected veteran status or any other status protected by law. A background check is required.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
INTRODUCTION
Founded in 1977 as the Senior Care Action Network, SCAN began with a simple but radical idea: that older adults deserve to stay healthy and independent. That belief was championed by a group of community activists we still honor today as the “12 Angry Seniors.” Their mission continues to guide everything we do.
Today, SCAN is a nonprofit health organization serving more than 500,000 people across Arizona, California, Nevada, New Mexico, Texas, and Washington, with over $8 billion in annual revenue. With nearly five decades of experience, we have built a distinctive, values-driven platform dedicated to improving care for older adults.
Our work spans Medicare Advantage, fully integrated care models, primary care, care for the most medically and socially complex populations, and next-generation care delivery models. Across all of this, we are united by a shared commitment: combining compassion with discipline, innovation with stewardship, and growth with integrity.
At SCAN, we believe scale should strengthen—not dilute—our mission. We are building the future of care for older adults, grounded in purpose, accountability, and respect for the people and communities we serve.
THE JOB
As an AI Product Owner, you will serve as the strategic driver behind SCAN’s agentic AI platform, translating vision into actionable outcomes. You’ll own the requirements, validation strategy, and delivery of value, ensuring that robust, scalable, and innovative AI solutions meet evolving business needs. Your expertise will be pivotal in identifying organizational patterns and transforming them into proposals for new AI functionality, positioning the platform at the forefront of enterprise innovation.
You’ll collaborate with cross-functional teams—including engineering, product, business, and compliance—to shape and deliver impactful AI features. By fostering strong partnerships and sharing technical knowledge, you’ll ensure solutions are practical, scalable, and aligned with business goals.
ESSENTIAL JOB FUNCTIONS:
Requirements & Feature Ownership
- Gather, refine, and prioritize technical and business requirements for platform features and agents.
- Translate business needs and organizational patterns into clear, actionable specifications for engineering teams.
- Make trade-off decisions regarding implementation (e.g. AI vs. non-AI) and maintain a prioritized feature backlog.
Platform Strategy & Roadmapping
- Use market headwind/tailwind to scope and envision AI platform features, expanding from workflows, scheduling, triggers, and integration points.
- Strategize and roadmap development of APIs, Model Context Protocol (MCP), and knowledge/data management systems.
- Ensure seamless integration with internal and external data sources and services.
Business Alignment & Pattern Recognition
- Analyze organizational processes and identify recurring patterns that can be addressed with AI functionality.
- Propose and design new features that directly address business needs and drive measurable impact.
- Collaborate with cross-functional teams to ensure solutions are practical, scalable, and compliant.
Test Strategy & Quality Assurance
- Define acceptance criteria and test strategies for platform features and agents.
- Ensure rigorous validation of AI functionality and alignment with business goals.
- Define KPIs and oversee test coverage, reliability, performance metrics, and evals.
Documentation & Knowledge Sharing
- Maintain clear, up-to-date documentation for requirements, test strategies, workflows, APIs, and agents.
- Share technical knowledge and best practices with engineering and business teams.
- We seek Rebels who are curious about AI and its power to transform how we operate and serve our members.
- Actively support the achievement of SCAN’s Vision and Goals.
- Other duties as assigned.
YOUR QUALIFICATIONS
- Bachelor's Degree or equivalent experience in Computer science, Engineering, or a related field.
- Demonstrates deep technical proficiency in AI platform architecture, agentic orchestration, workflow automation, and context engineering.
- Collaborates effectively with cross-functional teams—including engineering, product, business, and compliance—to deliver robust, scalable AI solutions.
- Communicates complex technical concepts clearly to both technical and non-technical stakeholders.
- Proactively identifies organizational patterns and translates them into actionable AI feature proposals.
- Exhibits strong stakeholder management and change leadership skills, driving alignment and adoption across the organization.
- Develops and executes comprehensive test strategies for complex AI systems, ensuring quality and reliability.
- Maintains up-to-date documentation and shares best practices to foster a culture of continuous learning and improvement.
- Demonstrates familiarity with vectors, embeddings, knowledge representation, and knowledge graph or graph RAG.
- Shows proficiency with Azure AI Studio, Azure ML, Cognitive Services, Azure OpenAI, API Management Gateway, MCP Gateway, AI Search Service, Snowflake, and Databricks.
PREFERRED CERTIFICATIONS OR LICENSES:
- SAFe Agile Certification or equivalent agile product ownership certification.
- Relevant certifications in Azure AI (e.g., Azure AI Engineer Associate, Azure Data Scientist Associate) or other cloud AI platforms.
- Certifications in data engineering, machine learning, or AI solution architecture are a plus.
EXPERIENCE PREFERRED:
- Experience in AI platform architecture, agentic orchestration, workflow automation, or context engineering.
- Hands-on experience with Azure AI Studio, Azure ML, Cognitive Services, Azure OpenAI, API Management Gateway, MCP Gateway, and AI Search Service.
- Experience with Snowflake, Databricks, or similar data platforms.
- Background in healthcare (health plan/payer environment preferred), regulated industries, or enterprise-scale AI deployments.
- Proven ability to translate business needs into technical requirements and deliver outcomes through cross-functional teams.
- Strong stakeholder management, communication, and change leadership skills.
- Demonstrated ability to envision comprehensive test strategies for complex AI systems.
WHAT'S IN IT FOR YOU?
- Base Salary Range: $106,200 to $182,983 annually
- An annual employee bonus program
- Robust Wellness Program
- Generous paid-time-off (PTO)
- 11 paid holidays per year, 1 floating holiday, birthday off, and 2 volunteer days
- Excellent 401(k) Retirement Saving Plan with employer match
- Robust employee recognition program
- Tuition reimbursement
- An opportunity to become part of a team that makes a difference to our members and our community every day!
We're always looking for talented people to join our team! Qualified applicants are encouraged to apply now!
At SCAN we believe that it is our business to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects our community through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more.
SCAN is proud to be an Equal Employment Opportunity and Affirmative Action workplace. Individuals seeking employment will receive consideration for employment without regard to race, color, national origin, religion, age, sex (including pregnancy, childbirth or related medical conditions), sexual orientation, gender perception or identity, age, marital status, disability, protected veteran status or any other status protected by law. A background check is required.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
See all 1,015+ Green Card AI Product Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Green Card AI Product Engineer Jobs.
Get Access To All JobsTips for Finding Green Card Sponsorship as an AI Product Engineer
Align your credentials to PERM job requirements
Before applying, confirm your degree field maps directly to the posted AI Product Engineer job description. PERM audits scrutinize whether your foreign credential matches the minimum stated requirement, so have a credential evaluation ready.
Target employers with active EB-2 and EB-3 filing history
Search PERM disclosure data through the OFLC Wage Search to identify employers who have recently sponsored AI or product engineering roles. Past filings signal an internal process already exists, which shortens your path to an offer.
Use Migrate Mate to filter for green card sponsoring roles
Search AI Product Engineer positions on Migrate Mate to surface employers with documented PERM sponsorship history. This removes guesswork and lets you focus applications on companies already equipped to handle employment-based green card filings.
Negotiate the PERM filing timeline before signing
Ask during the offer stage when the employer plans to initiate PERM. Some companies wait 12 to 18 months after your start date. Confirming the timeline upfront protects you if your current visa status has a fixed end date.
Document your AI product work for the EB-2 advanced degree track
Gather transcripts, employer verification letters, and performance records now. USCIS requires clear evidence that the role demands an advanced degree in a specific specialty, and AI product engineering increasingly qualifies under that standard.
Understand how EB-3 backlog affects your country of birth
For nationals of India or China, EB-3 priority dates can lag years behind the current filing date. Review the USCIS Visa Bulletin before accepting an offer so you can weigh whether concurrent I-485 filing or consular processing is realistic for your situation.
Green Card AI Product Engineer: Frequently Asked Questions
Does an AI Product Engineer role qualify for EB-2 or EB-3 sponsorship?
Most AI Product Engineer positions qualify for EB-2 sponsorship because they typically require a master's degree or a bachelor's degree plus progressive experience in machine learning, software engineering, or a closely related specialty. If the employer's minimum requirement is a bachelor's degree with no advanced degree preference, the role may be filed under EB-3 instead. The classification depends on what the employer lists as the actual job requirement, not what you personally hold.
How is green card sponsorship different from H-1B for this role?
H-1B visa is a temporary status with a six-year base limit and an annual lottery at the cap-subject level. Green card sponsorship through PERM leads to permanent residency with no renewal cycle and no cap lottery for most applicants. The tradeoff is timeline: PERM labor certification, I-140 approval, and visa availability can take two to five years or more depending on your birth country, while H-1B status can start within months of an approved petition.
What does the PERM process look like for an AI Product Engineer?
Your employer files a labor certification application with the DOL, demonstrating through a recruitment audit that no qualified U.S. worker was available for the role. For AI Product Engineer positions, the job description must specify a defined specialty, typically computer science, artificial intelligence, or software engineering. Once DOL certifies the PERM, your employer files an I-140 immigrant petition with USCIS. You can then adjust status or pursue consular processing once a visa number is available.
How do I find employers willing to sponsor an AI Product Engineer for a green card?
Search Migrate Mate to identify companies with active PERM and employment-based sponsorship history for AI and product engineering roles. You can also cross-reference OFLC disclosure data using the OFLC Wage Search to verify which employers have filed PERM applications in your target job title and location. Prioritizing these employers saves time and reduces the risk of an employer declining to sponsor mid-process.
Can I use O*NET data to strengthen my AI Product Engineer PERM application?
O*NET provides occupational data that employers and immigration attorneys use to define the duties, required knowledge, and degree fields for PERM job descriptions. Referencing O*NET for the Software Developer or Computer and Information Research Scientist occupation codes helps align your employer's job posting with DOL expectations, reducing the risk of an audit or denial based on vague or overly broad job requirements.