Lead AI Engineer Jobs in USA with Visa Sponsorship
Lead AI Engineer roles qualify as specialty occupations under H-1B visa, making employer sponsorship the standard path for international candidates. With demand concentrated in tech, finance, and healthcare, employers regularly file Labor Condition Applications for this title, and green card sponsorship through EB-2 or EB-3 is common for long-term hires.
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INTRODUCTION
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
Job Location
Job is located in NY - Onsite Hybrid
YOUR ROLE
Looking for an AI Agent Engineer to design and build AI agents that automate workflows and integrate with enterprise applications and data sources.
The ideal candidate should have strong hands-on experience with Python LLMs and agentic AI frameworks with the ability to take AI-agent use cases from concept through implementation.
Key responsibilities
- Design, build and enhance AI agents for enterprise use cases
- Develop agent workflows using LLMs and agentic AI frameworks
- Integrate agents with APIs, applications, tools and enterprise data sources
- Build orchestration and automation around multistep AI workflows
- Implement appropriate security access controls and guardrails for AI agents
- Test and improve agent reliability, accuracy and performance
- Work with business and technical teams to turn use cases into working AI-agent solutions
Ideal experience
- Strong Python development
- Experience building production AI/LLM applications
- Hands-on experience with agentic AI frameworks and patterns
- Azure OpenAI, Microsoft Copilot Studio or similar enterprise AI platforms
- REST APIs and enterprise integrations
- Understanding of AI security, responsible AI and governance
The base compensation range for this role in the posted location is: 98963 - 164938
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.
It is not typical for candidates to be hired at or near the top of the posted compensation range.
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.
Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
- Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
- Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
- Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
- Life and disability insurance
- Employee assistance programs
- Other benefits as provided by local policy and eligibility
Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.
Disclaimers
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.
Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
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Get Access To All JobsTips for Finding Visa Sponsorship as a Lead AI Engineer
Frame your degree for specialty occupation
H-1B eligibility hinges on a direct link between your degree field and AI engineering. A computer science or machine learning degree maps cleanly, but a physics or mathematics degree needs a portfolio of AI-specific coursework or publications to close that gap in your petition.
Target employers with active LCA history
Search OFLC public disclosure data for companies that have certified LCAs under AI or machine learning job titles. Repeat filers already have internal immigration counsel and established workflows, which cuts your sponsorship timeline significantly compared to first-time sponsors.
Use Migrate Mate to find verified sponsors
Filter your job search on Migrate Mate to surface employers with verified sponsorship history for AI engineering roles. Focusing on companies that have already filed for this title removes the risk of discovering late in the process that an employer won't sponsor.
Clarify PERM timing before accepting an offer
If the employer plans to sponsor a green card, ask whether they start PERM labor certification within the first year. For candidates from India or China, priority date backlogs under EB-2 and EB-3 can stretch decades, so early filing directly affects your long-term status.
Document your technical specialization for the LCA
Employers file a Labor Condition Application stating the specific AI role and prevailing wage level. Your job title, duties, and degree requirements must align precisely on that form. Vague descriptions like 'software engineer' instead of 'lead AI engineer' can trigger USCIS requests for evidence.
Benchmark your offer against OFLC prevailing wages
Run your offered role and location through OFLC Wage Search before signing. The LCA must certify wages at or above the prevailing rate for your wage level, and a mismatch between your offer and DOL wage data can delay or invalidate the entire filing.
Frequently Asked Questions
Does a Lead AI Engineer role qualify as a specialty occupation for H-1B?
Yes. Lead AI Engineer consistently qualifies as a specialty occupation because the role requires at minimum a bachelor's degree in computer science, artificial intelligence, or a directly related field. USCIS evaluates the specific job duties, not just the title, so the petition should document that the position requires theoretical and applied AI knowledge that only a degree-level education provides.
Which visa types support sponsorship for Lead AI Engineer positions?
H-1B is the primary work visa, with an annual cap and selection process. Candidates from Australia can use the E-3 visa, which has a separate cap and no lottery. Chilean and Singaporean nationals may qualify under H-1B1 visa. For candidates already in the U.S. on F-1 OPT or STEM OPT, the employer can hire immediately while the H-1B petition is prepared. EB-2 and EB-3 green cards are common long-term paths for this role.
Is a master's degree required, or does a bachelor's degree qualify?
A bachelor's degree in a directly related field is the minimum USCIS requires for specialty occupation classification. That said, Lead AI Engineer roles often carry job descriptions requiring advanced machine learning expertise, which many employers document as requiring a master's or equivalent experience. If your degree is in a loosely related field, additional certifications or publications in AI can strengthen the specialty occupation argument.
How do I find Lead AI Engineer jobs where employers are already willing to sponsor?
Search Migrate Mate, which lists employers with verified sponsorship history for AI engineering roles. This lets you focus your applications on companies that have already navigated the filing process for this specific title, rather than discovering sponsorship reluctance after a lengthy interview process.
What happens to H-1B status if a Lead AI Engineer is laid off?
You have a 60-day grace period after losing H-1B status to find a new sponsoring employer, change to another visa status, or depart the U.S. Because AI engineering roles are in high demand, many candidates secure a new offer within that window. The new employer files a fresh I-129 petition, and you can begin work once USCIS receives it, without waiting for approval.
What is the prevailing wage requirement for sponsored Lead AI Engineer 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.