Green Card AI Engineer Jobs
AI Engineer roles qualify for green card sponsorship under EB-2 for advanced-degree professionals and EB-3 for skilled workers with a bachelor's degree. Your employer files a PERM labor certification with DOL before petitioning USCIS, permanently sponsoring your U.S. residency rather than renewing a temporary work authorization every few years.
Find Green Card AI Engineer JobsOverview
Showing 5 of 5,264+ AI Engineer jobs
See all 5,264+ AI Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Engineer roles.
Get Access To All JobsCompany Description
Big challenges need bold thinkers.
If you’re someone who sees problems as opportunities, you’ll thrive here. RESPEC is 100% employee-owned, which means we take ownership of every challenge. Here, your ideas drive real solutions. Since 1969, we’ve tackled complex challenges in energy transition, infrastructure resilience, digital transformation, and sustainability.
At RESPEC, you’ll work alongside clients to take on critical problems. Depending on your expertise, you might design infrastructure in remote locations, develop renewable energy solutions for global projects, or apply data-driven technology to improve mining and water systems.
We bring deep technical knowledge, real-world experience, and a commitment to work that matters. If you're looking for a place where your contributions have real impact, you’ll fit right in.
We do not accept unsolicited resumes from third-party recruiters.
Job Description
This is a high-impact opportunity for a seasoned project management professional to step into a critical leadership role at the intersection of data engineering, cloud modernization, and artificial intelligence. You will serve as the primary project lead supporting a Technical Program Manager on a complex, enterprise-wide data and AI adoption program within a major Texas health and human services agency. Your work will directly influence how the agency leverages data to serve millions of Texans — coordinating cross-functional teams, managing deliverables across business and engineering stakeholders, and keeping a sophisticated technology transformation on track and on time.
If you thrive in fast-moving, mission-driven environments and have a proven track record leading data-heavy technical programs, this role was built for you.
Core Responsibilities
As the Senior Project Lead, you will own the day-to-day coordination and execution of a data engineering and AI adoption program. This means defining and tracking project scope, milestones, timelines, and success metrics while managing budgets, forecasting resource needs, and delivering clear financial status reports to leadership. You will serve as the connective tissue between data engineers, developers, business analysts, and executive stakeholders — translating complex technical concepts into actionable insights for non-technical audiences and ensuring alignment across all workstreams.
You will lead cross-functional teams and vendor relationships, facilitate requirements gathering and business analysis, and drive specifications development through to system implementation. Maintaining rigorous project documentation — including charters, project plans, schedules, and lessons learned — is a core expectation of this role. You will also support platform and data engineering initiatives, track deliverables tied to cloud and AI/ML adoption efforts, and proactively surface risks and blockers before they become issues.
Qualifications
Required Technical Experience
All of the following represent minimum requirements. Candidates must be able to demonstrate 10 years of hands-on experience in each area:
- Leading technical projects or programs in data, analytics, and cloud environments
- Driving data architecture, data modeling, and data warehousing initiatives from planning through delivery
- Managing business intelligence, big data, and analytics projects in complex enterprise settings
- Supporting healthcare data initiatives, with familiarity in standards such as FHIR, CCDA, and HL7
- Applying working knowledge of SQL and database technologies to support project planning, estimation, and issue resolution
- Communicating complex technical concepts clearly to business and executive audiences
- Leading cross-functional teams, vendors, and complex project timelines
- Collaborating effectively with data engineers, developers, analysts, and business partners
- Defining project scope, objectives, milestones, timelines, and success metrics
- Managing project budgets, forecasting, resource planning, and financial status reporting
- Proficiency with project management tools such as Jira, Azure DevOps, MS Project, or Smartsheet
- Producing high-quality project documentation including plans, charters, schedules, and lessons learned
- Working knowledge of cloud platforms, data systems, or enterprise applications
- Demonstrated proactive leadership with strong attention to detail and the ability to work independently
Certification Requirement: An active Project Management Professional (PMP) certification is mandatory and must be clearly listed on your resume. Proof of certification may be requested at any time.
Preferred Qualifications
Candidates who bring the following will stand out in the selection process:
- 8+ years of experience in healthcare or other regulated environments, including compliance, security, and data governance
- 8+ years of experience with SDLC, IT architecture, information management principles, and enterprise technologies
- 8+ years of consulting and facilitation experience, with strong customer-facing communication skills across all organizational levels
- Additional certifications such as PgMP, PMI-ACP, SAFe, or similar project management credentials
- 3+ years supporting AI, advanced analytics, or digital transformation initiatives at the program or project level
- 3+ years with TOGAF, Cloud Solution Architecture, or cloud certifications (Azure, AWS, or GCP)
Additional Information
Work Model
Hybrid — Austin, TX (Local Candidates Only)
Primary Location: 701 W 51st Street, Austin, TX 78751
This position follows a hybrid schedule with 3 days remote and 2 days on-site (Wednesdays and Fridays). Standard hours are Monday–Friday, 8:00 AM–5:00 PM CT, excluding Texas state holidays. Occasional evening, weekend, or holiday work may be required with advance coordination and approval.
LOCAL CANDIDATES ONLY: You must currently reside in Texas and be local to the Austin area to be considered. Candidates who are out of state and planning to relocate will not be considered. All travel, parking, and commuting expenses are the responsibility of the candidate.
All your information will be kept confidential according to EEO guidelines.
All your information will be kept confidential according to EEO guidelines.
Company Description
Big challenges need bold thinkers.
If you’re someone who sees problems as opportunities, you’ll thrive here. RESPEC is 100% employee-owned, which means we take ownership of every challenge. Here, your ideas drive real solutions. Since 1969, we’ve tackled complex challenges in energy transition, infrastructure resilience, digital transformation, and sustainability.
At RESPEC, you’ll work alongside clients to take on critical problems. Depending on your expertise, you might design infrastructure in remote locations, develop renewable energy solutions for global projects, or apply data-driven technology to improve mining and water systems.
We bring deep technical knowledge, real-world experience, and a commitment to work that matters. If you're looking for a place where your contributions have real impact, you’ll fit right in.
We do not accept unsolicited resumes from third-party recruiters.
Job Description
This is a high-impact opportunity for a seasoned project management professional to step into a critical leadership role at the intersection of data engineering, cloud modernization, and artificial intelligence. You will serve as the primary project lead supporting a Technical Program Manager on a complex, enterprise-wide data and AI adoption program within a major Texas health and human services agency. Your work will directly influence how the agency leverages data to serve millions of Texans — coordinating cross-functional teams, managing deliverables across business and engineering stakeholders, and keeping a sophisticated technology transformation on track and on time.
If you thrive in fast-moving, mission-driven environments and have a proven track record leading data-heavy technical programs, this role was built for you.
Core Responsibilities
As the Senior Project Lead, you will own the day-to-day coordination and execution of a data engineering and AI adoption program. This means defining and tracking project scope, milestones, timelines, and success metrics while managing budgets, forecasting resource needs, and delivering clear financial status reports to leadership. You will serve as the connective tissue between data engineers, developers, business analysts, and executive stakeholders — translating complex technical concepts into actionable insights for non-technical audiences and ensuring alignment across all workstreams.
You will lead cross-functional teams and vendor relationships, facilitate requirements gathering and business analysis, and drive specifications development through to system implementation. Maintaining rigorous project documentation — including charters, project plans, schedules, and lessons learned — is a core expectation of this role. You will also support platform and data engineering initiatives, track deliverables tied to cloud and AI/ML adoption efforts, and proactively surface risks and blockers before they become issues.
Qualifications
Required Technical Experience
All of the following represent minimum requirements. Candidates must be able to demonstrate 10 years of hands-on experience in each area:
- Leading technical projects or programs in data, analytics, and cloud environments
- Driving data architecture, data modeling, and data warehousing initiatives from planning through delivery
- Managing business intelligence, big data, and analytics projects in complex enterprise settings
- Supporting healthcare data initiatives, with familiarity in standards such as FHIR, CCDA, and HL7
- Applying working knowledge of SQL and database technologies to support project planning, estimation, and issue resolution
- Communicating complex technical concepts clearly to business and executive audiences
- Leading cross-functional teams, vendors, and complex project timelines
- Collaborating effectively with data engineers, developers, analysts, and business partners
- Defining project scope, objectives, milestones, timelines, and success metrics
- Managing project budgets, forecasting, resource planning, and financial status reporting
- Proficiency with project management tools such as Jira, Azure DevOps, MS Project, or Smartsheet
- Producing high-quality project documentation including plans, charters, schedules, and lessons learned
- Working knowledge of cloud platforms, data systems, or enterprise applications
- Demonstrated proactive leadership with strong attention to detail and the ability to work independently
Certification Requirement: An active Project Management Professional (PMP) certification is mandatory and must be clearly listed on your resume. Proof of certification may be requested at any time.
Preferred Qualifications
Candidates who bring the following will stand out in the selection process:
- 8+ years of experience in healthcare or other regulated environments, including compliance, security, and data governance
- 8+ years of experience with SDLC, IT architecture, information management principles, and enterprise technologies
- 8+ years of consulting and facilitation experience, with strong customer-facing communication skills across all organizational levels
- Additional certifications such as PgMP, PMI-ACP, SAFe, or similar project management credentials
- 3+ years supporting AI, advanced analytics, or digital transformation initiatives at the program or project level
- 3+ years with TOGAF, Cloud Solution Architecture, or cloud certifications (Azure, AWS, or GCP)
Additional Information
Work Model
Hybrid — Austin, TX (Local Candidates Only)
Primary Location: 701 W 51st Street, Austin, TX 78751
This position follows a hybrid schedule with 3 days remote and 2 days on-site (Wednesdays and Fridays). Standard hours are Monday–Friday, 8:00 AM–5:00 PM CT, excluding Texas state holidays. Occasional evening, weekend, or holiday work may be required with advance coordination and approval.
LOCAL CANDIDATES ONLY: You must currently reside in Texas and be local to the Austin area to be considered. Candidates who are out of state and planning to relocate will not be considered. All travel, parking, and commuting expenses are the responsibility of the candidate.
All your information will be kept confidential according to EEO guidelines.
All your information will be kept confidential according to EEO guidelines.
See all 5,264+ Green Card AI Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Green Card AI Engineer Jobs.
Get Access To All JobsTips for Finding Green Card Sponsorship as an AI Engineer
Document your AI specialization precisely
PERM requires your employer to define a specific job requirement, so gather transcripts, publications, and project portfolios that tie your ML, NLP, or computer vision expertise to a clearly bounded specialty occupation before the labor certification begins.
Target employers with active PERM filing history
Search Migrate Mate to filter AI Engineer roles by employers who have sponsored green cards before. A history of PERM filings signals an in-house process, reducing the delays that come from employers navigating sponsorship for the first time.
Clarify EB-2 versus EB-3 with your prospective employer
If your role requires an advanced degree or a specialized research background, push for EB-2 classification, which opens the National Interest Waiver path. Many AI Engineering roles qualify but get filed under EB-3 by default because employers use standard job description templates.
Verify the posted salary covers prevailing wage before signing
PERM requires DOL to certify that your offered wage meets or exceeds the prevailing wage for your role and location. Cross-check the offer against the OFLC Wage Search before accepting, because a wage shortfall forces your employer to restart the labor certification.
Ask employers about priority date strategy during interviews
Priority dates for India-born and China-born AI Engineers can mean multi-year waits at the EB-2 and EB-3 levels. Ask whether your employer files concurrently or immediately, and whether they use premium processing on the I-140 to lock in your priority date faster.
Align your O*NET job zone classification with USCIS standards
AI Engineer roles are classified in Job Zone 4 or 5 on O*NET, which supports specialty occupation arguments. Confirm that your employer's PERM job description references degree requirements consistent with that classification so USCIS approves the I-140 without a Request for Evidence.
Green Card AI Engineer: Frequently Asked Questions
Does my AI Engineer role qualify for EB-2 or EB-3 green card sponsorship?
Most AI Engineer positions qualify for EB-2 when the role requires a master's degree or equivalent in computer science, machine learning, or a related field. If the employer requires only a bachelor's degree, EB-3 applies instead. Your employer's PERM labor certification must accurately reflect the minimum educational requirement the role genuinely needs, not just what you personally hold.
How does PERM green card sponsorship differ from H-1B for AI Engineers?
H-1B visa is a temporary, renewable status tied to an employer and subject to an annual lottery. PERM sponsorship leads to permanent residency and has no lottery at the EB-3 level. The tradeoff is timeline: PERM labor certification, I-140 approval, and adjustment of status together take several years, compared to H-1B status that can begin within months of a cap-subject approval.
Which employers sponsor green cards for AI Engineers?
Large technology companies, AI-focused research labs, financial institutions running quantitative or risk modeling teams, and healthcare analytics firms regularly sponsor EB-2 and EB-3 green cards for AI Engineers. You can search Migrate Mate to filter AI Engineer roles specifically by employers with PERM filing history, narrowing your search to companies already familiar with the sponsorship process.
What happens to my green card case if I change employers mid-process?
Changing employers before your I-140 is approved generally requires restarting PERM with the new employer. After I-140 approval and once your priority date is current, the AC21 portability rule lets you transfer your case to a new employer offering a same or similar role without losing your priority date, which matters most for nationals of countries with long backlogs.
Can I self-petition for a green card as an AI Engineer without employer sponsorship?
Yes, if you have strong credentials. The EB-2 National Interest Waiver lets you self-petition without an employer or PERM labor certification if you can demonstrate your work in AI benefits the United States beyond your direct employer. Researchers publishing in peer-reviewed venues, contributors to open-source infrastructure, or specialists working on national security applications are common successful NIW petitioners in this field. Use Migrate Mate to identify roles at employers who also support NIW filings alongside traditional PERM.