Green Card Generative AI Engineer Jobs
Generative AI Engineer roles qualify for EB-2 sponsorship when they require an advanced degree in computer science, machine learning, or a related field, and for EB-3 as skilled positions under PERM labor certification. Employers file the I-140 immigrant petition after PERM approval, putting you on a direct path to permanent residency.
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Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management. As a bank with a brain and a soul, Citi creates economic value that is systemically responsible and in our clients’ best interests. As a financial institution that touches every region of the world and every sector that shapes your daily life, our Enterprise Operations & Technology teams are charged with a mission that rivals any large tech company. Our technology solutions are the foundations of everything we do from keeping the bank safe, managing global resources, and providing the technical tools our workers need to be successful to designing our digital architecture and ensuring our platforms provide a first-class customer experience. We reimagine client and partner experiences to deliver excellence through secure, reliable, and efficient services. Our commitment to diversity includes a workforce that represents the clients we serve from all walks of life, backgrounds, and origins. We foster an environment where the best people want to work. We value and demand respect for others, promote individuals based on merit, and ensure opportunities for personal development are widely available to all. Ideal candidates are innovators with well-rounded backgrounds who bring their authentic selves to work and complement our culture of delivering results with pride. If you are a problem solver who seeks passion in your work, come join us. We’ll enable growth and progress together.
Job Summary
The USCC Architecture and AI Engineering group is at the forefront of technological innovation, and we are looking for a highly motivated and talented Generative AI/AI Engineer to join our dynamic team. This is an exciting opportunity to work on cutting-edge AI solutions that will shape the future of our industry. We are seeking a hands-on individual with a passion for rapid prototyping, a deep curiosity for emerging technologies, and the drive to turn ambitious ideas into reality. If you are eager to build, learn, and grow in the fast-paced world of Generative and Agentic AI, this role is for you.
Key Responsibilities
- Develop & Prototype: Design, build, and iterate on prototypes for Generative and Agentic AI applications with speed and agility, demonstrating the art of the possible.
- Implement AI Models: Implement, train, and fine-tune a variety of machine learning and deep learning models to solve complex business problems.
- Build Robust Systems: Develop and maintain clean, efficient, and scalable code for AI/ML systems, with a focus on production-level quality.
- Manage Data Pipelines: Engineer and manage sophisticated data handling and preprocessing pipelines to ensure high-quality data for training and inference.
- Deploy & Operate: Utilize MLOps best practices to deploy AI applications in containerized environments like OpenShift, ensuring robust monitoring, scalability, and reliability.
- Innovate & Research: Actively monitor and research the latest trends, breakthroughs, and tools in AI/ML. Present findings and lead proof-of-concept projects to integrate new technologies into our stack.
- Collaborate: Work closely with senior engineers, architects, and product managers in a highly collaborative environment to translate business requirements into technical solutions.
Required Skills And Qualifications
- 2 years in a product development/product management environment
- Python Proficiency: Strong and efficient programming skills in Python, including deep familiarity with AI-centric libraries (e.g., NumPy, Pandas, Scikit-learn).
- ML/DL Foundation: Solid understanding and practical implementation experience with machine learning algorithms and deep learning architectures (e.g., Transformers, CNNs, RNNs).
- Generative AI Experience: Demonstrable understanding of and hands-on experience with Generative AI, Large Language Models (LLMs), and Agentic AI frameworks.
- Data Expertise: Proven ability in handling and preprocessing large and complex datasets, including data cleaning, feature engineering, and validation.
- MLOps Awareness: Working experience or strong familiarity with MLOps principles, including containerizing applications using Docker and deploying on platforms like OpenShift or Kubernetes.
- Problem-Solving: Strong analytical and problem-solving skills with the ability to tackle complex challenges independently.
Education
Bachelor’s/University degree or equivalent experience
Core Technical Stack & Expertise
The ideal candidate will have hands-on experience or deep familiarity with the following technologies:
- LLMs: Gemini, OpenAI models (GPT series), Copilot, Claude, Llama, and experience with Local Models.
- Frameworks: LangChain, LlamaIndex, and the Hugging Face ecosystem (Transformers, Datasets, Tokenizers).
- Orchestration: LangGraph and conceptual understanding of building Multi-Agent Systems.
- Development: Building production-ready services using Python, FastAPI, and asynchronous programming patterns.
- RAG (Retrieval-Augmented Generation): Advanced retrieval techniques using Vector DBs (e.g., Pinecone, Chroma) and PostgreSQL (with pgvector).
- ML/DL Platforms: PyTorch and/or TensorFlow for building and fine-tuning models.
- Deployment & Monitoring: Containerization with Docker, deploying production APIs, and implementing robust monitoring and logging.
- Applied AI Skills: Advanced Prompt Engineering, AI Workflow Design, and GenAI application optimization for cost, latency, and performance.
The Ideal Candidate
- You are a builder at heart, driven by a desire to create and experiment.
- You thrive in a fast-paced environment and excel at turning ideas into functional prototypes quickly.
- You are a voracious learner, constantly keeping up-to-date with the latest research papers, open-source projects, and technology trends in AI.
- You are a proactive and collaborative team player with excellent communication skills.
- You are passionate about solving real-world problems and delivering tangible impact through technology.
Job Family Group: Technology
Job Family: Digital Software Engineering
Time Type: Full time
Primary Location: Jacksonville Florida United States
Primary Location Full Time Salary Range: $76,560.00 - $106,840.00
In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
Anticipated Posting Close Date: Jun 18, 2026
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.
Overview Of The Role
Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management. As a bank with a brain and a soul, Citi creates economic value that is systemically responsible and in our clients’ best interests. As a financial institution that touches every region of the world and every sector that shapes your daily life, our Enterprise Operations & Technology teams are charged with a mission that rivals any large tech company. Our technology solutions are the foundations of everything we do from keeping the bank safe, managing global resources, and providing the technical tools our workers need to be successful to designing our digital architecture and ensuring our platforms provide a first-class customer experience. We reimagine client and partner experiences to deliver excellence through secure, reliable, and efficient services. Our commitment to diversity includes a workforce that represents the clients we serve from all walks of life, backgrounds, and origins. We foster an environment where the best people want to work. We value and demand respect for others, promote individuals based on merit, and ensure opportunities for personal development are widely available to all. Ideal candidates are innovators with well-rounded backgrounds who bring their authentic selves to work and complement our culture of delivering results with pride. If you are a problem solver who seeks passion in your work, come join us. We’ll enable growth and progress together.
Job Summary
The USCC Architecture and AI Engineering group is at the forefront of technological innovation, and we are looking for a highly motivated and talented Generative AI/AI Engineer to join our dynamic team. This is an exciting opportunity to work on cutting-edge AI solutions that will shape the future of our industry. We are seeking a hands-on individual with a passion for rapid prototyping, a deep curiosity for emerging technologies, and the drive to turn ambitious ideas into reality. If you are eager to build, learn, and grow in the fast-paced world of Generative and Agentic AI, this role is for you.
Key Responsibilities
- Develop & Prototype: Design, build, and iterate on prototypes for Generative and Agentic AI applications with speed and agility, demonstrating the art of the possible.
- Implement AI Models: Implement, train, and fine-tune a variety of machine learning and deep learning models to solve complex business problems.
- Build Robust Systems: Develop and maintain clean, efficient, and scalable code for AI/ML systems, with a focus on production-level quality.
- Manage Data Pipelines: Engineer and manage sophisticated data handling and preprocessing pipelines to ensure high-quality data for training and inference.
- Deploy & Operate: Utilize MLOps best practices to deploy AI applications in containerized environments like OpenShift, ensuring robust monitoring, scalability, and reliability.
- Innovate & Research: Actively monitor and research the latest trends, breakthroughs, and tools in AI/ML. Present findings and lead proof-of-concept projects to integrate new technologies into our stack.
- Collaborate: Work closely with senior engineers, architects, and product managers in a highly collaborative environment to translate business requirements into technical solutions.
Required Skills And Qualifications
- 2 years in a product development/product management environment
- Python Proficiency: Strong and efficient programming skills in Python, including deep familiarity with AI-centric libraries (e.g., NumPy, Pandas, Scikit-learn).
- ML/DL Foundation: Solid understanding and practical implementation experience with machine learning algorithms and deep learning architectures (e.g., Transformers, CNNs, RNNs).
- Generative AI Experience: Demonstrable understanding of and hands-on experience with Generative AI, Large Language Models (LLMs), and Agentic AI frameworks.
- Data Expertise: Proven ability in handling and preprocessing large and complex datasets, including data cleaning, feature engineering, and validation.
- MLOps Awareness: Working experience or strong familiarity with MLOps principles, including containerizing applications using Docker and deploying on platforms like OpenShift or Kubernetes.
- Problem-Solving: Strong analytical and problem-solving skills with the ability to tackle complex challenges independently.
Education
Bachelor’s/University degree or equivalent experience
Core Technical Stack & Expertise
The ideal candidate will have hands-on experience or deep familiarity with the following technologies:
- LLMs: Gemini, OpenAI models (GPT series), Copilot, Claude, Llama, and experience with Local Models.
- Frameworks: LangChain, LlamaIndex, and the Hugging Face ecosystem (Transformers, Datasets, Tokenizers).
- Orchestration: LangGraph and conceptual understanding of building Multi-Agent Systems.
- Development: Building production-ready services using Python, FastAPI, and asynchronous programming patterns.
- RAG (Retrieval-Augmented Generation): Advanced retrieval techniques using Vector DBs (e.g., Pinecone, Chroma) and PostgreSQL (with pgvector).
- ML/DL Platforms: PyTorch and/or TensorFlow for building and fine-tuning models.
- Deployment & Monitoring: Containerization with Docker, deploying production APIs, and implementing robust monitoring and logging.
- Applied AI Skills: Advanced Prompt Engineering, AI Workflow Design, and GenAI application optimization for cost, latency, and performance.
The Ideal Candidate
- You are a builder at heart, driven by a desire to create and experiment.
- You thrive in a fast-paced environment and excel at turning ideas into functional prototypes quickly.
- You are a voracious learner, constantly keeping up-to-date with the latest research papers, open-source projects, and technology trends in AI.
- You are a proactive and collaborative team player with excellent communication skills.
- You are passionate about solving real-world problems and delivering tangible impact through technology.
Job Family Group: Technology
Job Family: Digital Software Engineering
Time Type: Full time
Primary Location: Jacksonville Florida United States
Primary Location Full Time Salary Range: $76,560.00 - $106,840.00
In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
Anticipated Posting Close Date: Jun 18, 2026
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.
See all 46+ Green Card Generative AI Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Green Card Generative AI Engineer Jobs.
Get Access To All JobsTips for Finding Green Card Sponsorship as a Generative AI Engineer
Document your specialized AI credentials early
Gather transcripts, published papers, patents, and employer letters that tie your work directly to generative AI systems. PERM requires proof your role demands a specific degree, so vague credentials slow the labor certification.
Target employers with active PERM filing history
Search DOL OFLC disclosure data for companies that have filed PERM applications for machine learning or AI engineer roles. Employers who've navigated PERM before move faster and make fewer procedural errors on your case.
Verify your role qualifies under the right EB category
Use O*NET to confirm your generative AI responsibilities map to a recognized specialty occupation. EB-2 requires an advanced degree or equivalent; EB-3 covers bachelor's-level positions, and the category affects your priority date and wait time.
Ask employers about concurrent I-140 and I-485 filing
If a visa number is current for your country when your I-140 is approved, you can file I-485 adjustment of status concurrently. This shortens the gap between PERM approval and your green card, so raise it before signing an offer.
Search for green card sponsoring roles on Migrate Mate
Filter by EB-2 or EB-3 sponsorship to find Generative AI Engineer openings from employers already set up for PERM. Migrate Mate surfaces roles where sponsorship is confirmed, so you're not guessing from a generic job listing.
Confirm E-Verify enrollment before accepting an offer
Employers sponsoring you for a green card must be in good standing with employment eligibility verification. If a company isn't E-Verify enrolled, that's a flag worth resolving before PERM is filed, not after.
Green Card Generative AI Engineer: Frequently Asked Questions
Does a Generative AI Engineer role qualify for EB-2 green card sponsorship?
Yes, if the position requires a master's degree or higher in computer science, artificial intelligence, or a closely related field, it typically qualifies for EB-2. Employers must document through PERM that the advanced degree is a legitimate business requirement for the role, not just a preference. Roles that accept a bachelor's degree with experience generally fall under EB-3 instead.
How does green card sponsorship differ from H-1B sponsorship for this role?
H-1B visa is a temporary work visa with an annual lottery and a six-year cap, while EB-2 and EB-3 green card sponsorship is permanent and has no lottery. The PERM process adds time upfront, typically 12 to 24 months before the I-140 is even filed, but the outcome is lawful permanent residency rather than a status you have to renew. For many countries, EB-3 has no meaningful wait at the current priority date, making it faster to a green card than repeated H-1B extensions for some applicants.
What does the PERM labor certification process look like for a Generative AI Engineer?
Your employer files an ETA 9089 with DOL after completing a mandatory recruitment period to show no qualified U.S. workers were available for the role. For a Generative AI Engineer position, the job description must precisely define the AI-specific requirements, including the degree field and any specialized skills like large language model training or fine-tuning, so the role isn't deemed too broadly defined during an audit.
How do I find employers actively willing to sponsor a green card for generative AI roles?
Use Migrate Mate to search specifically for EB-2 and EB-3 sponsored Generative AI Engineer positions. Many job listings don't advertise PERM sponsorship openly, so filtering by confirmed sponsorship status saves significant time. You can also cross-reference DOL OFLC disclosure data to verify whether a company has filed PERM applications for similar AI roles in the past.
Can I switch employers after my I-140 is approved without losing my place in line?
Yes, under AC21 portability rules, you can change employers once your I-140 has been approved and your I-485 has been pending for at least 180 days, as long as the new role is in the same or a similar occupational classification. For a Generative AI Engineer, that means moving to another AI or software engineering role generally qualifies, but switching to an unrelated field could void the benefit.