STEM OPT Genai Engineer Jobs
GenAI Engineer roles sit squarely within STEM OPT eligibility, letting you work up to 36 months total on your F-1 OPT period. The 24-month STEM extension requires your employer to be enrolled in E-Verify and your degree to fall under a qualifying STEM CIP code in computer science, data science, or a related engineering discipline.
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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.
Locations:
Houston, TX - Onsite
About the job you’re considering:
Capgemini is seeking an enthusiastic and driven Junior AI-Native Consultant 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. You will contribute to innovative projects, applying advanced AI/ML techniques to optimize operations, enhance decision-making, and drive digital transformation for our clients.
We are looking for individuals who possess a strong foundational understanding of AI concepts and have a minimum of 15 months of professional experience within the Oracle Field Service Cloud (OFSC), Oil & Gas, or broader Utilities domain. This is a client-facing role that requires excellent communication and problem-solving skills.
Your Role:
- Collaborate with senior consultants and client teams to identify business challenges and opportunities for AI-driven solutions in 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, cleaning, and preprocessing activities for AI initiatives.
- Work with leading cloud technologies (Azure, AWS, GCP) and their AI/ML services.
- Utilize platforms such as Databricks, PySpark, and modern AI frameworks.
- Develop agentic AI workflows and intelligent agents to automate tasks and improve operational efficiency.
- Participate in client workshops and presentations, effectively articulating technical concepts to diverse stakeholders.
- Contribute to project documentation, reports, and client deliverables.
- Develop reusable assets, demos, and solution accelerators.
- Stay current with emerging AI technologies and industry trends, particularly within the Energy & Utilities landscape.
- Foster a collaborative environment, actively sharing knowledge and best practices within the team.
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related quantitative field.
- Minimum of 15 months of professional (non-internship) work experience in data science, AI, or machine learning roles.
- Demonstrable background in the Energy & Utilities sector, specifically with OFSC (Oracle Field Service Cloud), Oil & Gas, or general Utilities industry knowledge.
- Foundational knowledge of Artificial Intelligence, Machine Learning, and Deep Learning concepts.
- Proficiency in at least one AI-centric programming language (e.g., Python).
- Experience with:
- Generative AI concepts (GPT, Claude, LLMs)
- MLOps, model deployment, and monitoring
- LangChain and Retrieval-Augmented Generation (RAG) concepts
- REST APIs, JSON, Authentication, and Integration patterns
- Deployment tools (Azure DevOps, Docker, AWS ECS/EKS/Fargate) and CI/CD pipelines (AWS CloudFormation, CodeDeploy)
- Data engineering principles, including SQL and NoSQL databases (e.g., MySQL, MongoDB, Redis)
- Strong analytical, problem-solving, and critical thinking skills.
- Excellent communication, presentation, and interpersonal skills, with proven ability to engage effectively in client-facing situations.
- Ability to quickly adapt to new technologies and thrive in a fast-paced, evolving environment.
Preferred Qualifications:
- Familiarity with industry-specific tools such as Seeq and historians (e.g., PHD).
- Experience with any of the following:
- data visualization tools and techniques
- Machine Learning frameworks (TensorFlow, PyTorch, scikit-learn)
- NLP
- computer vision
- graph database technology (Neo4J, Ontotext)
- JIRA / Confluence
- Prior project or internship experience in a consulting environment.
The base compensation range for this role in the posted location is: $46,000 to $111,000.
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 STEM OPT Authorization as a Genai Engineer
Verify your CIP code before applying
Check that your degree's Classification of Instructional Programs code appears on the DHS STEM OPT designated degree program list. Computer science, electrical engineering, and data science CIP codes all qualify, but a general IT or business analytics degree may not.
Confirm E-Verify enrollment before accepting offers
GenAI roles often appear at startups and AI labs that haven't yet enrolled in E-Verify. Before signing anything, ask the recruiter for the company's E-Verify employer ID or look it up through the E-Verify employer search tool.
Tailor your I-983 training plan to GenAI deliverables
Your I-983 must list specific learning objectives tied to your STEM degree, not a generic job description. Map milestones to skills like transformer architecture, retrieval-augmented generation, or model evaluation to satisfy USCIS audit requirements.
Target employers with prior STEM OPT sponsorship history
Use Migrate Mate to filter GenAI Engineer openings by employers who have sponsored STEM OPT students before, using DOL Labor Condition Application filing data. This cuts time spent on companies unfamiliar with the E-Verify and I-983 requirements.
File your STEM OPT extension at least 90 days early
USCIS allows you to apply for the 24-month STEM extension up to 90 days before your initial OPT EAD expires. Missing this window means a gap in work authorization, which is especially costly if you're mid-project at a GenAI team.
Understand cap-gap protection if you receive an H-1B offer
If an employer files an H-1B visa petition on your behalf before April 1 and you're selected in the lottery, cap-gap rules automatically extend your OPT EAD through September 30. Confirm your employer will file on time so this bridge stays intact.
Frequently Asked Questions
Does a GenAI Engineer role qualify for the STEM OPT extension?
Yes, GenAI Engineer positions typically qualify because they require direct application of STEM knowledge in machine learning, artificial intelligence, or computer engineering. Your eligibility also depends on your degree: the CIP code on your transcript must appear on the DHS STEM designated degree program list. Degrees in computer science, electrical engineering, and data science consistently qualify. Confirm your specific code with your DSO before applying for the extension.
What does my employer need to do for my STEM OPT authorization?
Your employer must be enrolled in E-Verify, sign the Form I-983 training plan with you, and report changes in employment to your DSO within five business days. For GenAI roles, the I-983 must detail specific STEM-related learning goals tied to your daily work, such as model development cycles or data pipeline engineering. USCIS can audit these plans, so vague job descriptions are a liability.
How do I find GenAI Engineer jobs where the employer is already enrolled in E-Verify?
Search on Migrate Mate, which surfaces GenAI Engineer openings filtered for employers with verified STEM OPT hiring history using DOL LCA data. You can also cross-check any employer directly through the E-Verify employer search tool before applying. Prioritizing E-Verify-enrolled companies at the application stage avoids delays after an offer is extended.
What happens to my work authorization if my STEM OPT period ends while an H-1B petition is pending?
If your employer filed an H-1B cap-subject petition before April 1 of the fiscal year and USCIS selected it in the lottery, cap-gap rules extend your OPT EAD automatically through September 30. During the cap-gap period, you can continue working in your GenAI role without interruption. If the petition is not selected, your work authorization ends when your current EAD expires, so your employer's filing timeline matters significantly.
Can I work as a contractor or on a project basis as a GenAI Engineer on STEM OPT?
STEM OPT requires a bona fide employer-employee relationship, which means your day-to-day work must be supervised and directed by the E-Verify-enrolled employer who signed your I-983. Short-term project placements through a staffing agency can satisfy this requirement only if the agency itself is the E-Verify employer and signs the I-983. Independent contracting with no direct supervision does not meet USCIS standards for STEM OPT.