Green Card Genai Software Engineer Jobs
GenAI software engineer roles increasingly qualify for EB-2 sponsorship under the advanced-degree track, with employers filing PERM labor certifications through DOL before submitting an I-140 petition to USCIS. Demand from AI-focused teams has expanded the pool of companies willing to sponsor permanent residency for specialized professionals.
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Get Access To All JobsINTRODUCTION
Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity. We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education.
ROLE
GenAI Architect
Location:
Iselin, NJ (Hybrid mode - Orion office)
Project Overview:
Join our dynamic Delivery department as a GenAI Architect, where you will play a key role in designing and implementing innovative solutions leveraging Generative AI, AI Architecture, and Transformation methodologies. With a focus on cutting-edge technologies like Azure and MCP, you will help shape robust AI-driven solutions for enterprise applications.
Modernization, quality engineering, DevSecOps, and SRE.
Partnering with client executives, sector leaders, and delivery teams, you will translate AI strategy into production solutions and measurable business outcomes. Candidates must have personally designed, coded, and deployed production AI systems.
Key Responsibilities:
- Lead AI adoption: Co-create roadmaps aligned to client priorities; prioritize high-impact use cases and embed AI into end-to-end delivery workflows.
- Architect and build solutions: Design production-grade LLM applications and multi-agent systems with secure enterprise integrations, governed model access, and clear trade-offs across quality, latency, cost, and risk.
- Drive hands-on execution: Build rapid client PoCs, guide production deployment, debug agent behavior, review code, and establish reusable architectures and engineering standards.
- Design and architect Generative AI solutions tailored to enterprise needs, ensuring scalability and reliability.
- Lead the integration of AI-related technologies within existing enterprise architecture frameworks.
- Drive digital transformation initiatives by leveraging Agentic AI and innovative methodologies.
- Develop and implement APIs to support seamless integration of AI-powered solutions across platforms.
- Collaborate with cross-functional teams to define and refine solution architectures.
- Ensure compliance with best practices and standards for enterprise and solution architecture.
- Stay updated on emerging AI trends and technologies to incorporate them into architectural strategy.
- Lead clients and teams: Advise senior stakeholders, enable changes in skills and ways of working, and lead forward-deployed engineers (FDEs) and AI specialists. Develop reusable assets, industry perspectives, and thought leadership.
- Embed responsible AI: Establish security, privacy, data residency, auditability, and human oversight controls appropriate to client and regulatory requirements.
BASIC QUALIFICATIONS
Required Skills and Experience:
- Mandatory:
- Proven AI transformation experience, including recent, personal delivery of production LLM applications and agents, preferably in regulated or security-sensitive environments.
- Deep AI architecture expertise spanning model selection, orchestration, data and context layers, identity, integration, and observability.
- Hands-on experience with multi-agent systems and Agent-to-Agent (A2A) interoperability, Model Context Protocol (MCP) servers and clients, and AI gateways for routing, access controls, guardrails, and cost governance.
- Strong practical knowledge of RAG, GraphRAG, context engineering, agent memory, and agent frameworks or SDKs; experience applying AI coding assistants and autonomous agents across the SDLC.
- Expertise in LLMOps, evaluation, regression testing, tracing, production monitoring, model adaptation, and inference optimization.
- Experience implementing defenses against prompt injection and tool misuse, human approval controls, and responsible AI governance.
- Hands-on experience with at least one major cloud AI platform—Azure AI Foundry, AWS Bedrock, or Google Vertex AI—and leading model-provider APIs.
- Strong executive communication, team leadership, and commercial judgment, with the ability to translate complex technology into compelling business value.
Success in This Role
Secure, scalable AI adoption that moves beyond experimentation, delivers measurable engineering and business improvements, and maintains continuity from strategy and deal commitments through production execution.
AI Tools -
- Azure AI Foundry
- Agent365
- Copilot
- MS Purview
- Defender
Orion is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, citizenship status, disability status, genetic information, protected veteran status, or any other characteristic protected by law.
Candidate Privacy Policy
Orion Systems Integrators, LLC and its subsidiaries and its affiliates (collectively, "Orion," "we" or "us") are committed to protecting your privacy. This Candidate Privacy Policy ("Notice") explains:
- What information we collect during our application and recruitment process and why we collect it;
- How we handle that information; and
- How to access and update that information.
Your use of Orion services is governed by any applicable terms in this notice and our general Privacy Policy.
INTRODUCTION
Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity. We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education.
ROLE
GenAI Architect
Location:
Iselin, NJ (Hybrid mode - Orion office)
Project Overview:
Join our dynamic Delivery department as a GenAI Architect, where you will play a key role in designing and implementing innovative solutions leveraging Generative AI, AI Architecture, and Transformation methodologies. With a focus on cutting-edge technologies like Azure and MCP, you will help shape robust AI-driven solutions for enterprise applications.
Modernization, quality engineering, DevSecOps, and SRE.
Partnering with client executives, sector leaders, and delivery teams, you will translate AI strategy into production solutions and measurable business outcomes. Candidates must have personally designed, coded, and deployed production AI systems.
Key Responsibilities:
- Lead AI adoption: Co-create roadmaps aligned to client priorities; prioritize high-impact use cases and embed AI into end-to-end delivery workflows.
- Architect and build solutions: Design production-grade LLM applications and multi-agent systems with secure enterprise integrations, governed model access, and clear trade-offs across quality, latency, cost, and risk.
- Drive hands-on execution: Build rapid client PoCs, guide production deployment, debug agent behavior, review code, and establish reusable architectures and engineering standards.
- Design and architect Generative AI solutions tailored to enterprise needs, ensuring scalability and reliability.
- Lead the integration of AI-related technologies within existing enterprise architecture frameworks.
- Drive digital transformation initiatives by leveraging Agentic AI and innovative methodologies.
- Develop and implement APIs to support seamless integration of AI-powered solutions across platforms.
- Collaborate with cross-functional teams to define and refine solution architectures.
- Ensure compliance with best practices and standards for enterprise and solution architecture.
- Stay updated on emerging AI trends and technologies to incorporate them into architectural strategy.
- Lead clients and teams: Advise senior stakeholders, enable changes in skills and ways of working, and lead forward-deployed engineers (FDEs) and AI specialists. Develop reusable assets, industry perspectives, and thought leadership.
- Embed responsible AI: Establish security, privacy, data residency, auditability, and human oversight controls appropriate to client and regulatory requirements.
BASIC QUALIFICATIONS
Required Skills and Experience:
- Mandatory:
- Proven AI transformation experience, including recent, personal delivery of production LLM applications and agents, preferably in regulated or security-sensitive environments.
- Deep AI architecture expertise spanning model selection, orchestration, data and context layers, identity, integration, and observability.
- Hands-on experience with multi-agent systems and Agent-to-Agent (A2A) interoperability, Model Context Protocol (MCP) servers and clients, and AI gateways for routing, access controls, guardrails, and cost governance.
- Strong practical knowledge of RAG, GraphRAG, context engineering, agent memory, and agent frameworks or SDKs; experience applying AI coding assistants and autonomous agents across the SDLC.
- Expertise in LLMOps, evaluation, regression testing, tracing, production monitoring, model adaptation, and inference optimization.
- Experience implementing defenses against prompt injection and tool misuse, human approval controls, and responsible AI governance.
- Hands-on experience with at least one major cloud AI platform—Azure AI Foundry, AWS Bedrock, or Google Vertex AI—and leading model-provider APIs.
- Strong executive communication, team leadership, and commercial judgment, with the ability to translate complex technology into compelling business value.
Success in This Role
Secure, scalable AI adoption that moves beyond experimentation, delivers measurable engineering and business improvements, and maintains continuity from strategy and deal commitments through production execution.
AI Tools -
- Azure AI Foundry
- Agent365
- Copilot
- MS Purview
- Defender
Orion is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, citizenship status, disability status, genetic information, protected veteran status, or any other characteristic protected by law.
Candidate Privacy Policy
Orion Systems Integrators, LLC and its subsidiaries and its affiliates (collectively, "Orion," "we" or "us") are committed to protecting your privacy. This Candidate Privacy Policy ("Notice") explains:
- What information we collect during our application and recruitment process and why we collect it;
- How we handle that information; and
- How to access and update that information.
Your use of Orion services is governed by any applicable terms in this notice and our general Privacy Policy.
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Get Access To All JobsTips for Finding Green Card Sponsorship as a Genai Software Engineer
Align your credentials to EB-2 requirements
PERM filings for GenAI roles routinely cite a master's degree or higher in computer science, AI, or a related field. Document your advanced degree and any published research or patents before applying, since USCIS scrutinizes the job requirements closely.
Search employers with active PERM filing history
Use the OFLC Wage Search to identify companies that have filed PERM certifications for software engineering roles. Employers who have completed the PERM process before are far more likely to sponsor again and already understand the compliance timeline.
Verify the job description matches your O*NET profile
DOL cross-references PERM job duties against O*NET occupation data for GenAI and software engineer roles. Before accepting an offer, confirm that the employer's written job duties align with the O*NET profile your role falls under, or a prevailing-wage audit can stall your case.
Negotiate who covers attorney and filing fees
PERM regulations allow employers to pay all government filing fees, but attorney costs vary. Raise this during offer negotiation, not after signing, since some employers cap reimbursement and the difference can be significant across PERM, I-140, and adjustment of status filings.
Find green-card-sponsoring GenAI roles on Migrate Mate
Filtering by sponsorship willingness saves weeks of manual research. Migrate Mate surfaces GenAI software engineer positions where employers have a verified history of employment-based green card sponsorship, so you apply to companies already set up to file.
Time your application around your current visa status
If you're on H-1B visa, your I-485 adjustment of status can't be filed until a green card priority date is current for your country. Starting the PERM process early, even years before your H-1B expires, locks in an earlier priority date and protects you from cap-gap gaps.
Green Card Genai Software Engineer: Frequently Asked Questions
Does a GenAI software engineer role qualify for EB-2 or EB-3 sponsorship?
Most GenAI software engineer positions qualify for EB-2 when the employer requires a master's degree or higher in computer science, artificial intelligence, or a closely related field. Roles where a bachelor's degree is sufficient typically fall under EB-3. The classification depends on what the employer documents in the PERM labor certification, not just your personal credentials.
How does green card sponsorship differ from H-1B for a GenAI software engineer?
H-1B is a temporary nonimmigrant status with a six-year base limit and an annual lottery. Green card sponsorship through PERM and I-140 leads to permanent residency with no renewal requirement. There's no annual cap for EB-2 or EB-3 petitions themselves, though per-country visa backlogs can delay final approval for applicants from high-demand countries like India or China.
What does the PERM labor certification process look like for a GenAI role?
Your employer files a PERM application with DOL certifying that no qualified U.S. worker was available for the role. This requires a defined recruitment period, prevailing wage compliance verified through OFLC Wage Search data, and a job description tied to a specific O*NET occupation code. DOL processing currently runs several months, and an approved PERM must be filed within 18 months before it expires.
How do I find employers who will actually sponsor a green card for GenAI roles?
Migrate Mate is built specifically for this search, filtering job listings by employers with a documented history of employment-based green card sponsorship. Many GenAI-focused companies advertise roles without clarifying their sponsorship position, so using a platform that surfaces PERM filing history saves time and helps you prioritize companies already set up to file.
Can I switch employers after my PERM is approved but before I have my green card?
Yes, under AC21 portability rules you can change employers once your I-485 adjustment of status application has been pending for 180 days or more, provided the new role is in the same or a similar occupational classification. For GenAI software engineers, a move to another AI or software development position generally qualifies, but you'll want to confirm with an immigration attorney before accepting a new offer.