E-3 Visa Generative AI Engineer Jobs
Generative AI Engineer roles qualify as E-3 visa specialty occupations, making Australian professionals eligible for visa sponsorship without entering a lottery. The E-3 has a 10,500-annual cap that goes largely unfilled each year, and your employer files the Labor Condition Application before your consulate appointment.
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26960306
Location(s):
New York, New York, United States
Job Type:
Hybrid
Posted:
May. 07, 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
Senior Staff Generative AI Engineer– VP
At Citi, we are pioneering the future of enterprise operations through innovative technology. Our COO-Technology Engineering and Architecture capability is at the forefront, responsible for architecting best-in-class solutions, driving end-to-end transformation, and integrating cutting-edge Generative AI solutions to unlock unparalleled efficiency, automation, and risk reduction across our global operations.
The Team: Innovating at Scale
Our team is a dynamic hub of engineers and innovators dedicated to solving complex business challenges with intelligent solutions. We believe in building robust, scalable products that deliver tangible impact. We foster an environment of continuous learning, rapid iteration, and strong engineering practices. Here, you'll work alongside passionate experts, leverage the latest in AI, and contribute to a culture that values clean code, thoughtful design, and direct, hands-on problem-solving. We're not just adopting AI; we're building the intelligence that powers our enterprise.
The Role:
We are seeking an exceptional Staff Generative AI Engineer to join our team. This is a critical, deeply hands-on role for a seasoned software engineer with a profound passion for Generative AI, Large Language Models (LLMs), and agentic frameworks. You will be instrumental in designing, building, and deploying real-world, commercial production systems, not just proofs-of-concept.
This is an Individual Contributor (IC) role with no direct people management responsibilities.
Your expertise in containers (especially OpenShift), strong Python programming, and advanced LLM/agentic frameworks will be essential as you drive significant operational efficiencies and set new standards for engineering excellence. If you're a builder who thrives on technical challenge, delivering measurable impact, and mentoring others while getting your hands dirty with code, we want to hear from you.
As a Staff Generative AI Engineer, you will:
- Architect & Build Production Systems: Lead the hands-on development of sophisticated Generative AI applications, LLM-powered solutions, and intricate agentic frameworks primarily using Python. Your code will be clean, performant, scalable, and deployed directly into commercial production environments, solving real business problems.
- Pioneer Automation with Agents: Design and implement intelligent agents capable of understanding, reasoning, and orchestrating complex workflows to automate critical enterprise business processes, driving efficiency and reducing operational risk at scale.
- Master Containerized Deployments: Demonstrate deep comfort and expertise with container technologies, particularly deploying and managing applications within OpenShift environments.
- Drive Technical Direction & Ownership: Contribute significantly to the technical strategy and roadmap for Generative AI adoption, influencing architectural decisions and technology choices across our product portfolio, ensuring all solutions are production-ready.
- Champion Engineering Excellence: Instill and uphold rigorous software engineering best practices, including robust testing, code reviews, documentation, and continuous integration/delivery, ensuring the highest quality for our mission-critical systems running in production.
- Innovate & Research: Stay at the bleeding edge of Generative AI, actively exploring new models, techniques, and frameworks. Contribute to both applied engineering and research initiatives within the domain. You will have access to state-of-the-art AI-assisted development tools like Devin and Copilot to amplify your productivity and creativity.
- Mentor & Collaborate: Act as a technical leader and mentor to junior engineers, fostering a culture of knowledge sharing and continuous improvement. Collaborate closely with cross-functional teams, product managers, and stakeholders to deliver impactful solutions.
- Iterate & Deliver: Thrive in an agile, fast-paced environment, prioritizing rapid delivery, iterative development, and adaptability. Focus on delivering measurable business value and learning quickly from prototypes and deployments, always with a path to production in mind.
- Ensure Responsible AI: Design and implement robust guardrails and ethical considerations into AI solutions, proactively assessing and mitigating risks in line with organizational and regulatory standards.
Minimum Qualifications:
- 10+ years of professional software engineering experience, demonstrating a strong track record of designing, building, and delivering scalable enterprise-grade solutions in commercial production environments, not just proofs-of-concept.
- Expert-level proficiency in Python is a must-have, with a deep understanding of its ecosystem for AI/ML development, data engineering, and backend services. Full-stack development experience is a distinct advantage.
- Extensive hands-on experience with Generative AI concepts, Large Language Models (LLMs), transformer architectures, RAG, and advanced agentic frameworks (e.g., LangChain, LangGraph, Google ADK. Optionally AutoGen, CrewAI, LlamaIndex, Semantic Kernel).
- Deep comfort and practical experience with containers and orchestration technologies, specifically OpenShift.
- Demonstrated ability to architect, develop, and deploy highly performant, large-scale AI/ML systems into production environments.
- Strong understanding of modern software development principles, clean code practices, data structures, algorithms, and distributed systems.
- Proficiency with Relational (preferably, PostgreSQL) and Vector (preferably, pgvector) databases.
Preferred Qualifications (Bonus Points):
- Proficiency in additional programming languages such as Java, JavaScript/TypeScript, or Golang.
- Experience with specific frameworks like Spring (AI, Boot), N8N, or Flask.
- Familiarity with messaging and integration platforms such as Kafka or JMS/MQ.
- Experience with UI development using modern frameworks like React JS or StreamLit for interactive AI applications.
- Practical experience in model risk management, developing AI guardrails, and establishing end-user adoption pathways for Generative AI solutions.
- A proven track record of contributing to open-source projects or publishing relevant research in AI/ML.
Why You'll Love Working Here:
- Unprecedented Impact & Visibility: Contribute to critical, high-visibility projects that are transforming a global enterprise, working on firm-wide initiatives that directly influence our operational future.
- Cutting-Edge Technology: Work with the latest Generative AI models, agentic frameworks, and cloud-native technologies, enhanced by access to AI-assisted development tools like Devin and Copilot.
- Growth & Development: A culture of continuous learning, mentorship, and opportunities to lead and innovate. Benefit from extensive learning resources including Udemy for Business and Pluralsight.
- Collaborative Environment: Join a highly skilled, passionate team that values collaboration, intellectual curiosity, and shared success.
- Flexible Work Environment: Embrace a hybrid working model, balancing productive in-office collaboration (3 days) with the flexibility of working from home (up to 2 days).
- Global Scale: Build solutions that operate at a massive scale, impacting users and operations worldwide.
Join us to build the future of intelligent enterprise solutions!
Job Family Group:
Technology
Job Family:
Applications Development
Time Type:
Full time
Primary Location:
New York New York United States
Primary Location Full Time Salary Range:
$142,320.00 - $213,480.00
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:
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:
26960306
Location(s):
New York, New York, United States
Job Type:
Hybrid
Posted:
May. 07, 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
Senior Staff Generative AI Engineer– VP
At Citi, we are pioneering the future of enterprise operations through innovative technology. Our COO-Technology Engineering and Architecture capability is at the forefront, responsible for architecting best-in-class solutions, driving end-to-end transformation, and integrating cutting-edge Generative AI solutions to unlock unparalleled efficiency, automation, and risk reduction across our global operations.
The Team: Innovating at Scale
Our team is a dynamic hub of engineers and innovators dedicated to solving complex business challenges with intelligent solutions. We believe in building robust, scalable products that deliver tangible impact. We foster an environment of continuous learning, rapid iteration, and strong engineering practices. Here, you'll work alongside passionate experts, leverage the latest in AI, and contribute to a culture that values clean code, thoughtful design, and direct, hands-on problem-solving. We're not just adopting AI; we're building the intelligence that powers our enterprise.
The Role:
We are seeking an exceptional Staff Generative AI Engineer to join our team. This is a critical, deeply hands-on role for a seasoned software engineer with a profound passion for Generative AI, Large Language Models (LLMs), and agentic frameworks. You will be instrumental in designing, building, and deploying real-world, commercial production systems, not just proofs-of-concept.
This is an Individual Contributor (IC) role with no direct people management responsibilities.
Your expertise in containers (especially OpenShift), strong Python programming, and advanced LLM/agentic frameworks will be essential as you drive significant operational efficiencies and set new standards for engineering excellence. If you're a builder who thrives on technical challenge, delivering measurable impact, and mentoring others while getting your hands dirty with code, we want to hear from you.
As a Staff Generative AI Engineer, you will:
- Architect & Build Production Systems: Lead the hands-on development of sophisticated Generative AI applications, LLM-powered solutions, and intricate agentic frameworks primarily using Python. Your code will be clean, performant, scalable, and deployed directly into commercial production environments, solving real business problems.
- Pioneer Automation with Agents: Design and implement intelligent agents capable of understanding, reasoning, and orchestrating complex workflows to automate critical enterprise business processes, driving efficiency and reducing operational risk at scale.
- Master Containerized Deployments: Demonstrate deep comfort and expertise with container technologies, particularly deploying and managing applications within OpenShift environments.
- Drive Technical Direction & Ownership: Contribute significantly to the technical strategy and roadmap for Generative AI adoption, influencing architectural decisions and technology choices across our product portfolio, ensuring all solutions are production-ready.
- Champion Engineering Excellence: Instill and uphold rigorous software engineering best practices, including robust testing, code reviews, documentation, and continuous integration/delivery, ensuring the highest quality for our mission-critical systems running in production.
- Innovate & Research: Stay at the bleeding edge of Generative AI, actively exploring new models, techniques, and frameworks. Contribute to both applied engineering and research initiatives within the domain. You will have access to state-of-the-art AI-assisted development tools like Devin and Copilot to amplify your productivity and creativity.
- Mentor & Collaborate: Act as a technical leader and mentor to junior engineers, fostering a culture of knowledge sharing and continuous improvement. Collaborate closely with cross-functional teams, product managers, and stakeholders to deliver impactful solutions.
- Iterate & Deliver: Thrive in an agile, fast-paced environment, prioritizing rapid delivery, iterative development, and adaptability. Focus on delivering measurable business value and learning quickly from prototypes and deployments, always with a path to production in mind.
- Ensure Responsible AI: Design and implement robust guardrails and ethical considerations into AI solutions, proactively assessing and mitigating risks in line with organizational and regulatory standards.
Minimum Qualifications:
- 10+ years of professional software engineering experience, demonstrating a strong track record of designing, building, and delivering scalable enterprise-grade solutions in commercial production environments, not just proofs-of-concept.
- Expert-level proficiency in Python is a must-have, with a deep understanding of its ecosystem for AI/ML development, data engineering, and backend services. Full-stack development experience is a distinct advantage.
- Extensive hands-on experience with Generative AI concepts, Large Language Models (LLMs), transformer architectures, RAG, and advanced agentic frameworks (e.g., LangChain, LangGraph, Google ADK. Optionally AutoGen, CrewAI, LlamaIndex, Semantic Kernel).
- Deep comfort and practical experience with containers and orchestration technologies, specifically OpenShift.
- Demonstrated ability to architect, develop, and deploy highly performant, large-scale AI/ML systems into production environments.
- Strong understanding of modern software development principles, clean code practices, data structures, algorithms, and distributed systems.
- Proficiency with Relational (preferably, PostgreSQL) and Vector (preferably, pgvector) databases.
Preferred Qualifications (Bonus Points):
- Proficiency in additional programming languages such as Java, JavaScript/TypeScript, or Golang.
- Experience with specific frameworks like Spring (AI, Boot), N8N, or Flask.
- Familiarity with messaging and integration platforms such as Kafka or JMS/MQ.
- Experience with UI development using modern frameworks like React JS or StreamLit for interactive AI applications.
- Practical experience in model risk management, developing AI guardrails, and establishing end-user adoption pathways for Generative AI solutions.
- A proven track record of contributing to open-source projects or publishing relevant research in AI/ML.
Why You'll Love Working Here:
- Unprecedented Impact & Visibility: Contribute to critical, high-visibility projects that are transforming a global enterprise, working on firm-wide initiatives that directly influence our operational future.
- Cutting-Edge Technology: Work with the latest Generative AI models, agentic frameworks, and cloud-native technologies, enhanced by access to AI-assisted development tools like Devin and Copilot.
- Growth & Development: A culture of continuous learning, mentorship, and opportunities to lead and innovate. Benefit from extensive learning resources including Udemy for Business and Pluralsight.
- Collaborative Environment: Join a highly skilled, passionate team that values collaboration, intellectual curiosity, and shared success.
- Flexible Work Environment: Embrace a hybrid working model, balancing productive in-office collaboration (3 days) with the flexibility of working from home (up to 2 days).
- Global Scale: Build solutions that operate at a massive scale, impacting users and operations worldwide.
Join us to build the future of intelligent enterprise solutions!
Job Family Group:
Technology
Job Family:
Applications Development
Time Type:
Full time
Primary Location:
New York New York United States
Primary Location Full Time Salary Range:
$142,320.00 - $213,480.00
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:
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 E-3 Visa Generative AI Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa Generative AI Engineer Jobs.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Generative AI Engineer
Frame your portfolio around U.S. benchmarks
Australian AI research and industry experience is directly transferable, but U.S. hiring managers evaluate candidates against frameworks like MLOps maturity and responsible AI governance. Align your portfolio and resume language to those benchmarks before applying.
Target employers with active LCA filing history
Search DOL's Office of Foreign Labor Certification disclosure data to identify tech companies that have filed LCAs for AI or machine learning roles. Prior LCA activity signals the employer understands the E-3 process and won't stall at the sponsorship conversation.
Use Migrate Mate to streamline your filing
Once you have an offer, use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork end-to-end, from DOL certification through consulate preparation, so you can focus on your start date rather than government forms.
Clarify your degree equivalency before interviews
Australian three-year bachelor's degrees in computer science, data science, or engineering are generally accepted as equivalent to U.S. four-year degrees for E-3 specialty occupation purposes. Have a credential evaluation ready if a recruiter raises questions early.
Address the specialty occupation standard proactively
Generative AI engineering must meet USCIS's specialty occupation definition: the role requires a degree in a specific technical field, not just any bachelor's. Ask your employer to document that the position requires AI, machine learning, or computer science expertise specifically.
Negotiate your start date around LCA processing
The DOL typically certifies an LCA within seven business days, but your employer needs to post a public notice at the worksite for ten consecutive business days before or after filing. Build at least three to four weeks between your offer acceptance and your consulate appointment.
E-3 Visa Generative AI Engineer: Frequently Asked Questions
How do I find Generative AI Engineer jobs with E-3 sponsorship?
Migrate Mate is built specifically for Australian professionals seeking E-3 sponsorship in the U.S. Search Generative AI Engineer roles on Migrate Mate to find employers already familiar with the E-3 process. Filtering by visa type upfront saves you from discovering late in the process that a company won't sponsor.
How much does it cost to get an E-3 visa?
Migrate Mate's E-3 filing service covers the entire process for $499, including the Labor Condition Application, visa document preparation, and consulate appointment guidance. Traditional immigration lawyers charge $2,000–$5,000+ for the same work. The E-3 has less paperwork than most work visas, so paying thousands for legal help is usually unnecessary.
Does a Generative AI Engineer role qualify as an E-3 specialty occupation?
Yes, provided the position requires a bachelor's degree or higher in a specific technical field such as computer science, artificial intelligence, or machine learning. Roles where any bachelor's degree would suffice, regardless of field, can fail the specialty occupation test. Your offer letter and job description should explicitly state the required degree field.
How does the E-3 compare to the H-1B for Generative AI Engineer roles?
The E-3 has a separate 10,500 annual cap exclusive to Australian citizens, and that cap has never been exhausted. The H-1B visa requires entering a lottery with roughly a one-in-four selection rate. For Generative AI Engineers with Australian citizenship, the E-3 offers a direct path to U.S. employment without waiting for lottery results or an annual registration window.
Can I change employers while on an E-3 as a Generative AI Engineer?
Yes, but you cannot port your existing E-3 status the way an H-1B holder can under AC21 portability rules. Your new employer must file a fresh LCA with the DOL and you'll need to attend a new consulate appointment for a new E-3 visa stamp. Plan for three to six weeks between your last day and your new start date to accommodate that process.