AI Developer Jobs in USA with Visa Sponsorship
AI Developer roles are among the most actively sponsored positions in the U.S. right now. Most employers file under the H-1B visa, requiring a bachelor's degree in computer science, AI, or a related field. Demand consistently outpaces domestic supply, making sponsorship common across startups and large tech firms alike. For detailed occupation requirements, see the O*NET profile.
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Job Req Id:
26951444
Location(s):
Jacksonville, Florida, United States
Job Type:
Hybrid
Posted:
Apr. 16, 2026
Discover your future at Citi
Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.
Job Overview
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 seeking a seasoned and visionary Senior Generative AI/AI Developer and Lead to guide our team and architect the next generation of intelligent systems. This is a pivotal role in driving our AI strategy, from conceptualization through to production. We are looking for an expert with a proven track record in designing and delivering robust, scalable, and well-governed AI solutions. The ideal candidate will be a technical leader who can mentor a talented team of engineers, collaborate effectively with business stakeholders, and steer our technical direction in the rapidly evolving landscape of Generative and Agentic AI.
Key Responsibilities
- Architect & Design: Lead the design and architecture of complex, end-to-end AI systems, ensuring they are scalable, resilient, maintainable, and secure.
- Strategize & Collaborate: Partner directly with business leaders and product managers to identify high-impact AI opportunities, define project roadmaps, and translate strategic business needs into a coherent technical vision.
- Lead & Mentor: Manage, mentor, and develop a team of AI engineers, fostering a culture of innovation, technical excellence, and rapid, continuous learning. Provide technical guidance and oversight on all projects.
- Govern & Standardize: Establish, implement, and enforce AI governance frameworks and MLOps best practices to ensure ethical, responsible, and compliant AI implementations across the organization.
- Hands-On Leadership: Remain hands-on in development, guiding the implementation of advanced machine learning, deep learning, and Generative AI models and setting the standard for code quality.
- Drive Innovation: Champion research into emerging AI technologies, tools, and methodologies. Drive proof-of-concept initiatives and make strategic recommendations for integrating cutting-edge solutions.
- Oversee MLOps: Define and lead the strategy for MLOps, including the robust deployment, monitoring, and full lifecycle management of AI applications in containerized environments like OpenShift.
Required Skills and Qualifications
- 10+ years of relevant experience
- Leadership & Management: Proven experience in a technical leadership or team management role, with a strong ability to mentor engineers, manage project priorities, and drive team performance.
- Architectural Expertise: Demonstrated ability to design and architect scalable, high-availability, end-to-end AI and machine learning systems.
- Business Acumen: Significant experience collaborating with non-technical business stakeholders to identify opportunities, define requirements, and articulate a clear AI strategy.
- AI Governance: Strong understanding and practical experience in implementing governance, risk, and ethical guidelines for enterprise-grade AI solutions.
- Expert Python Proficiency: Expert-level programming skills in Python and its core AI/ML ecosystem (e.g., NumPy, Pandas, Scikit-learn).
- Deep AI/ML Expertise: Extensive, hands-on implementation experience with Machine Learning, Deep Learning, Generative AI, and Agentic AI systems.
- Advanced Data Expertise: Proven expertise in designing and managing complex data handling, preprocessing, and validation pipelines for mission-critical AI applications.
- Advanced MLOps: Deep, practical experience in MLOps, including containerization (Docker), orchestration (OpenShift/Kubernetes), CI/CD, and production deployment of AI models.
Education
Bachelor’s/University degree, Master’s degree preferred
Core Technical Stack & Expertise
The ideal candidate will have deep, hands-on expertise and strategic experience 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 designing and building complex Multi-Agent Systems.
- Development: Building production-grade, scalable services using Python, FastAPI, and asynchronous programming patterns.
- RAG (Retrieval-Augmented Generation): Designing and implementing 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 at scale.
- Deployment & Monitoring: Containerization with Docker, deploying resilient production APIs, and implementing comprehensive monitoring, logging, and alerting strategies.
- Applied AI Skills: Mastery of Advanced Prompt Engineering, AI Workflow Design, and GenAI application optimization for cost, latency, and performance.
The Ideal Candidate
- You are a strategic thinker and a master builder, capable of seeing the long-term vision and diving deep into the technical details to make it a reality.
- You are an experienced and empathetic leader who empowers your team to do their best work.
- You excel at bridging the gap between business and technology, translating complex problems into actionable and impactful AI strategies.
- You have a deep-seated commitment to building responsible AI and establishing robust governance.
- You are a thought leader and lifelong learner, staying at the absolute cutting edge of the AI industry and inspiring others to do the same.
- You have a proven track record of delivering high-impact AI solutions from initial concept to full-scale production.
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:
$153,600.00 - $230,400.00
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.
Most Relevant Skills
Please see the requirements listed above.
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
Anticipated Posting Close Date:
Apr 23, 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.

Job Req Id:
26951444
Location(s):
Jacksonville, Florida, United States
Job Type:
Hybrid
Posted:
Apr. 16, 2026
Discover your future at Citi
Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.
Job Overview
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 seeking a seasoned and visionary Senior Generative AI/AI Developer and Lead to guide our team and architect the next generation of intelligent systems. This is a pivotal role in driving our AI strategy, from conceptualization through to production. We are looking for an expert with a proven track record in designing and delivering robust, scalable, and well-governed AI solutions. The ideal candidate will be a technical leader who can mentor a talented team of engineers, collaborate effectively with business stakeholders, and steer our technical direction in the rapidly evolving landscape of Generative and Agentic AI.
Key Responsibilities
- Architect & Design: Lead the design and architecture of complex, end-to-end AI systems, ensuring they are scalable, resilient, maintainable, and secure.
- Strategize & Collaborate: Partner directly with business leaders and product managers to identify high-impact AI opportunities, define project roadmaps, and translate strategic business needs into a coherent technical vision.
- Lead & Mentor: Manage, mentor, and develop a team of AI engineers, fostering a culture of innovation, technical excellence, and rapid, continuous learning. Provide technical guidance and oversight on all projects.
- Govern & Standardize: Establish, implement, and enforce AI governance frameworks and MLOps best practices to ensure ethical, responsible, and compliant AI implementations across the organization.
- Hands-On Leadership: Remain hands-on in development, guiding the implementation of advanced machine learning, deep learning, and Generative AI models and setting the standard for code quality.
- Drive Innovation: Champion research into emerging AI technologies, tools, and methodologies. Drive proof-of-concept initiatives and make strategic recommendations for integrating cutting-edge solutions.
- Oversee MLOps: Define and lead the strategy for MLOps, including the robust deployment, monitoring, and full lifecycle management of AI applications in containerized environments like OpenShift.
Required Skills and Qualifications
- 10+ years of relevant experience
- Leadership & Management: Proven experience in a technical leadership or team management role, with a strong ability to mentor engineers, manage project priorities, and drive team performance.
- Architectural Expertise: Demonstrated ability to design and architect scalable, high-availability, end-to-end AI and machine learning systems.
- Business Acumen: Significant experience collaborating with non-technical business stakeholders to identify opportunities, define requirements, and articulate a clear AI strategy.
- AI Governance: Strong understanding and practical experience in implementing governance, risk, and ethical guidelines for enterprise-grade AI solutions.
- Expert Python Proficiency: Expert-level programming skills in Python and its core AI/ML ecosystem (e.g., NumPy, Pandas, Scikit-learn).
- Deep AI/ML Expertise: Extensive, hands-on implementation experience with Machine Learning, Deep Learning, Generative AI, and Agentic AI systems.
- Advanced Data Expertise: Proven expertise in designing and managing complex data handling, preprocessing, and validation pipelines for mission-critical AI applications.
- Advanced MLOps: Deep, practical experience in MLOps, including containerization (Docker), orchestration (OpenShift/Kubernetes), CI/CD, and production deployment of AI models.
Education
Bachelor’s/University degree, Master’s degree preferred
Core Technical Stack & Expertise
The ideal candidate will have deep, hands-on expertise and strategic experience 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 designing and building complex Multi-Agent Systems.
- Development: Building production-grade, scalable services using Python, FastAPI, and asynchronous programming patterns.
- RAG (Retrieval-Augmented Generation): Designing and implementing 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 at scale.
- Deployment & Monitoring: Containerization with Docker, deploying resilient production APIs, and implementing comprehensive monitoring, logging, and alerting strategies.
- Applied AI Skills: Mastery of Advanced Prompt Engineering, AI Workflow Design, and GenAI application optimization for cost, latency, and performance.
The Ideal Candidate
- You are a strategic thinker and a master builder, capable of seeing the long-term vision and diving deep into the technical details to make it a reality.
- You are an experienced and empathetic leader who empowers your team to do their best work.
- You excel at bridging the gap between business and technology, translating complex problems into actionable and impactful AI strategies.
- You have a deep-seated commitment to building responsible AI and establishing robust governance.
- You are a thought leader and lifelong learner, staying at the absolute cutting edge of the AI industry and inspiring others to do the same.
- You have a proven track record of delivering high-impact AI solutions from initial concept to full-scale production.
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:
$153,600.00 - $230,400.00
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.
Most Relevant Skills
Please see the requirements listed above.
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
Anticipated Posting Close Date:
Apr 23, 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 278+ AI Developer jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Developer roles.
Get Access To All JobsTips for Finding Visa Sponsorship as an AI Developer
Target companies with a history of H-1B filings
Employers who have sponsored AI roles before are far more likely to do it again. Look for companies with repeated H-1B filings for machine learning, AI engineering, or data science titles in OFLC disclosure data. Past behavior is the best predictor.
Frame your specialty occupation case clearly
USCIS scrutinizes AI roles that sound generalist. Your offer letter and job description should specify the theoretical and practical AI knowledge required, the degree field that directly applies, and why a general computer science background alone is insufficient for the role.
Emphasize research output and published work
Patents, published papers, conference presentations, and open-source contributions strengthen your H-1B petition significantly. USCIS adjudicators weigh demonstrated expertise heavily for AI roles, where the specialty occupation threshold can be contested more than in traditional software engineering.
Consider O-1A if your profile is exceptional
AI researchers with peer-reviewed publications, citation records, or recognized contributions to the field may qualify for the O-1A visa. It has no lottery, no annual cap, and no nationality restrictions, making it a strong alternative if your H-1B registration isn't selected.
Prepare for requests for evidence on degree equivalency
Foreign three-year bachelor's degrees or degrees in adjacent fields like mathematics or physics may require a credentials evaluation to establish equivalency to a U.S. four-year computer science degree. Getting this evaluation done early prevents delays after a petition is filed.
Ask about premium processing before accepting an offer
Premium processing upgrades USCIS adjudication to 15 business days. For AI roles with competitive start dates or tight project timelines, confirm upfront whether the employer routinely uses it. Some companies budget for it by default; others require justification from hiring managers.
AI Developer jobs are hiring across the US. Find yours.
Find AI Developer JobsFrequently Asked Questions
Do AI Developer roles qualify as specialty occupations for H-1B purposes?
Yes, AI Developer roles generally qualify as specialty occupations because they require a theoretical and practical application of highly specialized knowledge, typically a bachelor's degree or higher in computer science, artificial intelligence, machine learning, or a directly related field. However, USCIS has issued RFEs for roles where the job description is broad or where the employer couldn't demonstrate that a specific degree field is a minimum requirement rather than a preference.
What degree fields are accepted for AI Developer H-1B petitions?
Computer science, artificial intelligence, machine learning, data science, statistics, electrical engineering, and mathematics are the most commonly accepted fields. A degree in a loosely related field, such as information systems or general engineering, can still qualify if the job duties clearly require that specific body of knowledge. A credential evaluation letter is recommended for foreign degrees or degrees from fields where the connection to AI development isn't immediately obvious.
How competitive is H-1B sponsorship for AI Developer roles compared to other tech jobs?
AI Developer roles face the same H-1B lottery odds as all cap-subject petitions, roughly 25 to 30 percent selection in recent years. However, employers in this space are increasingly filing O-1A petitions for candidates with strong research profiles, and some larger companies have cap-exempt affiliated research entities that allow direct H-1B filing outside the lottery. Browsing AI Developer roles on Migrate Mate lets you filter specifically for employers with active sponsorship histories.
Can I work as an AI Developer on an OPT or STEM OPT extension while waiting for H-1B selection?
Yes. F-1 graduates in computer science, AI, or related STEM fields qualify for a 24-month STEM OPT extension beyond the standard 12-month OPT period, giving up to three years of post-graduation work authorization. Employers must be enrolled in E-Verify to support STEM OPT. This window is commonly used to bridge the gap between graduation and H-1B cap selection, which only opens once per year.
Are startups or smaller AI companies likely to sponsor H-1B visas?
Many do, particularly well-funded AI startups, but the process requires more upfront coordination than at large enterprises with dedicated immigration teams. Smaller employers may be filing H-1B petitions for the first time, which means longer timelines and occasional errors that trigger RFEs. It's worth asking directly during the offer stage whether they've sponsored before, who manages their immigration filings, and whether they budget for legal counsel and premium processing.
What is the prevailing wage requirement for sponsored AI Developer jobs?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
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