H-1B Visa Lead AI Engineer Jobs
Lead AI Engineer jobs attract strong H-1B visa sponsorship because the role qualifies as a specialty occupation, requiring at least a bachelor's degree in computer science, machine learning, or a directly related field. Employers file an LCA and I-129 petition on your behalf, granting H-1B status for up to three years, extendable to six.
Find H-1B Visa Lead AI Engineer JobsOverview
Showing 5 of 639+ Lead AI Engineer jobs
See all 639+ Lead AI Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Lead AI Engineer roles.
Get Access To All JobsINTRODUCTION
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.
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.
See all 639+ H-1B Visa Lead AI Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa Lead AI Engineer Jobs.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Lead AI Engineer
Align your degree to AI engineering
USCIS evaluates specialty occupation by matching your degree field to the role's core duties. A degree in computer science, statistics, or electrical engineering maps cleanly to Lead AI Engineer. Degrees in unrelated fields create RFE risk, so document coursework that directly supports machine learning or systems work.
Verify prevailing wage before negotiating
Your employer's LCA must certify a wage at or above the DOL prevailing wage for your SOC code and worksite location. Run your title against the OFLC Wage Search before salary talks so you understand the floor and can spot offers that may not survive DOL certification.
Target employers with active LCA filing history
Use Migrate Mate to search Lead AI Engineer roles at employers with verified H-1B LCA sponsorship history, searchable by city and role. Focusing on companies that have filed recently reduces the risk of engaging employers who have never navigated the H-1B process for technical leadership positions.
Confirm each worksite gets its own LCA
If your role involves client sites, data centers, or hybrid arrangements across multiple locations, each distinct worksite requires its own certified LCA. Push your employer's HR or legal team to identify all worksites before filing rather than discovering gaps after USCIS issues a Request for Evidence.
Build your specialty occupation evidence file early
Collect job descriptions, published papers, patent filings, model deployment records, and employer letters that demonstrate you apply theoretical AI knowledge at the degree level. Having this documentation ready shortens the time between offer acceptance and I-129 filing, which matters given H-1B cap selection rules have changed recently.
Review the O*NET profile for your SOC code
O*NET lists the tasks, skills, and knowledge requirements tied to the SOC code your employer will use on the LCA. Cross-checking your actual job duties against that profile helps you and your employer write a position description that withstands USCIS specialty occupation scrutiny without costly amendments later.
H-1B Visa Lead AI Engineer: Frequently Asked Questions
Does a Lead AI Engineer role qualify as an H-1B specialty occupation?
Yes. Lead AI Engineer typically qualifies as a specialty occupation because the role requires at least a bachelor's degree in computer science, machine learning, electrical engineering, or a directly related field. Employers document this requirement in the LCA and I-129 petition. USCIS evaluates the specific position, so your employer should use a job description that reflects genuine degree-level duties in AI research, model development, or systems architecture.
How do I find employers actively sponsoring H-1B visas for AI engineering roles?
Migrate Mate lists employers with verified H-1B LCA sponsorship history, searchable by role and city. This lets you focus on companies that have already navigated the DOL and USCIS filing process for technical positions, rather than approaching employers who may be unfamiliar with H-1B requirements for senior engineering leadership roles.
What happens to my H-1B status if I move from one AI engineering team to another within the same company?
An internal transfer to a materially different role, different worksite, or different job duties generally requires an amended I-129 petition and a new LCA certified for the new location and wage level. A lateral move within the same team, same location, and same duties typically does not require an amendment, but your employer's immigration counsel should evaluate any change before it takes effect.
Can my employer sponsor my H-1B while I'm on OPT as an AI engineer?
Yes. Employers commonly file an H-1B petition while you're working on OPT. If you're selected and your OPT expires before October 1, cap-gap protection automatically extends your work authorization until your H-1B status begins. For Lead AI Engineer roles, the specialty occupation documentation requirements are the same regardless of your current status, so your employer should prepare the position description carefully.
What DOL wage level should a Lead AI Engineer expect on an LCA?
Most Lead AI Engineer positions are filed at wage Level III or Level IV under the DOL's four-tier prevailing wage system, reflecting the leadership and specialized expertise the role requires. The exact level depends on your worksite's metropolitan area and the SOC code your employer selects. You can verify the applicable wage floor using the OFLC Wage Search before accepting an offer.