Green Card Genai Engineer Jobs
GenAI Engineer roles qualify for green card sponsorship under EB-2 and EB-3, with employers filing PERM labor certifications through DOL before petitioning USCIS. Your advanced degree in computer science, AI, or a related field strengthens an EB-2 classification, while hands-on LLM and model deployment experience supports the specialty occupation requirement throughout the sponsorship process.
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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.
LOCATION
This is onsite role based in Houston, TX
ABOUT THE JOB YOU'RE CONSIDERING
Capgemini is seeking an enthusiastic and driven AI/ML Engineer / GenAI Engineer / Data Scientist to join our dynamic Energy & Utilities sector team. This role is designed for emerging talent passionate about leveraging Artificial Intelligence to solve complex industry challenges. The ideal candidate will contribute to innovative projects, applying advanced AI/ML techniques to optimize operations, enhance decision-making, and drive digital transformation for our clients. This is a client-facing role requiring strong technical expertise, communication skills, and a passion for AI-driven innovation.
YOUR ROLE
- Collaborate with senior consultants and client teams to identify business challenges and opportunities for AI-driven solutions within the Energy & Utilities sector.
- Assist in the design, development, and deployment of AI/ML models, including Generative AI and Predictive AI solutions.
- Support data collection, cleansing, validation, and preprocessing activities for AI initiatives.
- Work with leading cloud platforms including Azure, AWS, and GCP, leveraging their AI and machine learning services.
- Utilize Databricks, PySpark, and modern AI frameworks to develop scalable analytics and AI solutions.
- Develop agentic AI workflows and intelligent agents to automate business processes and improve operational efficiency.
- Design and implement Retrieval-Augmented Generation (RAG) solutions using modern AI technologies and frameworks.
YOUR SKILLS AND EXPERIENCE
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related quantitative field.
- Minimum of 2 years of professional work experience in Data Science, Artificial Intelligence, or Machine Learning roles.
- Demonstrated experience within the Energy & Utilities sector.
- Strong foundational knowledge of Artificial Intelligence, Machine Learning, and Deep Learning concepts.
- Proficiency in Python or other AI-centric programming languages.
- Experience working with Generative AI concepts including GPT, Claude, Large Language Models (LLMs), and foundation models.
- Knowledge of MLOps practices including model deployment, monitoring, governance, and lifecycle management.
- Experience with LangChain, Retrieval-Augmented Generation (RAG), prompt engineering, and AI orchestration frameworks.
- Hands-on experience developing and consuming REST APIs, JSON-based services, authentication mechanisms, and integration patterns.
- Experience with deployment tools such as Azure DevOps, Docker, AWS ECS, EKS, Fargate, CloudFormation, CodeDeploy, and CI/CD pipelines.
- Strong understanding of data engineering principles and experience working with SQL and NoSQL databases such as MySQL, MongoDB, and Redis.
- Experience utilizing Databricks, PySpark, and cloud-based analytics platforms.
- Strong analytical thinking, problem-solving, and critical reasoning skills.
- Excellent communication, presentation, and interpersonal skills with the ability to effectively engage in client-facing situations.
- Ability to quickly learn emerging technologies and adapt within fast-paced, evolving environments.
- Experience working in Agile/Scrum delivery environments.
- Strong collaboration skills with cross-functional and geographically distributed teams.
PREFERRED EXPERIENCE
- Prior experience with OFSE (Oil Field Services & Equipment) or broader Oil & Gas industry operations.
- Experience with data visualization tools and techniques.
- Hands-on experience with Machine Learning frameworks such as TensorFlow, PyTorch, and scikit-learn.
- Experience in Natural Language Processing (NLP) solutions and applications.
COMPENSATION
- The base compensation range for this role in the posted location is $53,580 to $122,400.
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.
BENEFITS
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.
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.
LOCATION
This is onsite role based in Houston, TX
ABOUT THE JOB YOU'RE CONSIDERING
Capgemini is seeking an enthusiastic and driven AI/ML Engineer / GenAI Engineer / Data Scientist to join our dynamic Energy & Utilities sector team. This role is designed for emerging talent passionate about leveraging Artificial Intelligence to solve complex industry challenges. The ideal candidate will contribute to innovative projects, applying advanced AI/ML techniques to optimize operations, enhance decision-making, and drive digital transformation for our clients. This is a client-facing role requiring strong technical expertise, communication skills, and a passion for AI-driven innovation.
YOUR ROLE
- Collaborate with senior consultants and client teams to identify business challenges and opportunities for AI-driven solutions within the Energy & Utilities sector.
- Assist in the design, development, and deployment of AI/ML models, including Generative AI and Predictive AI solutions.
- Support data collection, cleansing, validation, and preprocessing activities for AI initiatives.
- Work with leading cloud platforms including Azure, AWS, and GCP, leveraging their AI and machine learning services.
- Utilize Databricks, PySpark, and modern AI frameworks to develop scalable analytics and AI solutions.
- Develop agentic AI workflows and intelligent agents to automate business processes and improve operational efficiency.
- Design and implement Retrieval-Augmented Generation (RAG) solutions using modern AI technologies and frameworks.
YOUR SKILLS AND EXPERIENCE
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related quantitative field.
- Minimum of 2 years of professional work experience in Data Science, Artificial Intelligence, or Machine Learning roles.
- Demonstrated experience within the Energy & Utilities sector.
- Strong foundational knowledge of Artificial Intelligence, Machine Learning, and Deep Learning concepts.
- Proficiency in Python or other AI-centric programming languages.
- Experience working with Generative AI concepts including GPT, Claude, Large Language Models (LLMs), and foundation models.
- Knowledge of MLOps practices including model deployment, monitoring, governance, and lifecycle management.
- Experience with LangChain, Retrieval-Augmented Generation (RAG), prompt engineering, and AI orchestration frameworks.
- Hands-on experience developing and consuming REST APIs, JSON-based services, authentication mechanisms, and integration patterns.
- Experience with deployment tools such as Azure DevOps, Docker, AWS ECS, EKS, Fargate, CloudFormation, CodeDeploy, and CI/CD pipelines.
- Strong understanding of data engineering principles and experience working with SQL and NoSQL databases such as MySQL, MongoDB, and Redis.
- Experience utilizing Databricks, PySpark, and cloud-based analytics platforms.
- Strong analytical thinking, problem-solving, and critical reasoning skills.
- Excellent communication, presentation, and interpersonal skills with the ability to effectively engage in client-facing situations.
- Ability to quickly learn emerging technologies and adapt within fast-paced, evolving environments.
- Experience working in Agile/Scrum delivery environments.
- Strong collaboration skills with cross-functional and geographically distributed teams.
PREFERRED EXPERIENCE
- Prior experience with OFSE (Oil Field Services & Equipment) or broader Oil & Gas industry operations.
- Experience with data visualization tools and techniques.
- Hands-on experience with Machine Learning frameworks such as TensorFlow, PyTorch, and scikit-learn.
- Experience in Natural Language Processing (NLP) solutions and applications.
COMPENSATION
- The base compensation range for this role in the posted location is $53,580 to $122,400.
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.
BENEFITS
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.
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 58+ Green Card Genai Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Green Card Genai Engineer Jobs.
Get Access To All JobsTips for Finding Green Card Sponsorship as a Genai Engineer
Document your AI specialization before applying
Gather performance reviews, published model benchmarks, and project documentation that tie your work directly to LLM architecture, fine-tuning pipelines, or RAG systems. PERM audits scrutinize whether your credentials match the posted job requirements, so specificity here prevents delays.
Search employers with active PERM filings
Use Migrate Mate to filter GenAI Engineer roles by employers who have filed PERM labor certifications, so you're targeting companies already familiar with the DOL process rather than educating a hiring team from scratch.
Identify whether EB-2 or EB-3 fits your profile
EB-2 requires a master's degree or equivalent in a directly related field, while EB-3 covers bachelor's-level professionals. If your degree is in a tangentially related discipline, prepare a credential evaluation and a skills-to-role mapping letter before interviews start.
Ask about priority date strategy during offer negotiations
For candidates born in high-backlog countries, an employer willing to file an EB-2 and a concurrent EB-3 petition gives you two priority dates to track. Clarify whether the employer's immigration counsel handles this dual-filing approach before you sign.
Verify the job description matches OFLC prevailing-wage data
Employers set the PERM wage floor using the OFLC Wage Search. If your offer letter lists a Level I or Level II wage for a role that DOL classifies at Level III, the labor certification is at risk, so confirm wage level alignment before PERM is filed.
Confirm the employer understands specialty occupation requirements
USCIS requires that GenAI Engineer roles normally demand at least a bachelor's degree in a specific specialty. Use O*NET occupation data and your employer's actual job requirements to build a strong specialty occupation argument during the I-140 petition stage.
Green Card Genai Engineer: Frequently Asked Questions
Does a GenAI Engineer role qualify as a specialty occupation for green card purposes?
Yes. USCIS evaluates whether the position normally requires at least a bachelor's degree in a specific field such as computer science, artificial intelligence, or machine learning. GenAI Engineer roles that involve LLM architecture, model fine-tuning, or inference optimization consistently meet that standard, though the employer must document the degree requirement clearly in the PERM job description.
How does PERM green card sponsorship differ from H-1B sponsorship for GenAI Engineers?
H-1B visa is a temporary status renewed in three-year increments with no path to permanence on its own, while PERM is the first step toward lawful permanent residency. EB-3 green cards for GenAI Engineers have no annual per-person cap, so unlike H-1B, there is no lottery. The tradeoff is timeline: PERM labor certification alone takes six to eighteen months before the I-140 petition stage begins.
What makes a GenAI Engineer profile stronger for EB-2 versus EB-3 classification?
EB-2 requires a master's degree or a bachelor's degree plus five years of progressive experience in a directly related specialty. Candidates whose work focuses on foundational model research, novel training techniques, or published AI benchmarks tend to support EB-2 arguments more easily. EB-3 is the practical fallback for candidates with a bachelor's degree and strong deployment or MLOps experience but without the graduate credential.
How can I find GenAI Engineer employers who are already willing to sponsor green cards?
Migrate Mate lets you search GenAI Engineer roles filtered by employers with verified PERM filing history, so you avoid companies that would need to start the green card process from zero. Targeting employers with prior PERM experience shortens the education phase and reduces the risk that sponsorship falls apart after an offer is extended.
Can my employer start PERM while I'm on an H-1B for a GenAI Engineer role?
Yes, and starting early is strategically important. PERM can be filed at any point during H-1B status, and having an approved I-140 petition before your sixth year of H-1B allows extensions beyond the standard six-year cap under AC21 portability rules. Many GenAI Engineers in high-backlog countries rely on this overlap to maintain lawful status while their priority date becomes current.