STEM OPT Genai Software Engineer Jobs
GenAI Software Engineer roles sit squarely within STEM OPT eligibility for graduates in computer science, AI, or related CIP-coded fields. Your 24-month STEM OPT extension gives you up to 36 months of total work authorization, provided your employer is enrolled in E-Verify and you maintain a compliant I-983 training plan.
Find STEM OPT Genai Software Engineer JobsOverview
Showing 5 of 7+ Genai Software Engineer jobs










See all Genai Software Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Genai Software Engineer roles.
Get Access To All Jobs
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.
See all STEM OPT Genai Software Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new STEM OPT Genai Software Engineer Jobs.
Get Access To All JobsTips for Finding STEM OPT Authorization as a Genai Software Engineer
Verify your CIP code before applying
Check that your degree's Classification of Instructional Programs code maps to a DHS-designated STEM field. Computer science, data science, and electrical engineering codes qualify. A mismatch between your transcript and your I-20 can block the extension before it starts.
Confirm E-Verify enrollment before accepting offers
Ask hiring managers directly whether the company is enrolled in E-Verify before you reach the offer stage. STEM OPT authorization requires it, and smaller GenAI startups frequently aren't enrolled yet, even if they're willing to sponsor.
Build an I-983 training plan around GenAI deliverables
Your I-983 must tie your GenAI work to specific learning objectives and your degree field. Document model development, fine-tuning pipelines, or RAG architecture work as concrete training goals. Vague job descriptions get flagged by DSOs and can delay your extension.
Use OFLC Wage Search to benchmark your offer
GenAI Software Engineer roles span multiple SOC codes, each with a different prevailing wage. Run your job title and work location through the OFLC Wage Search to confirm your offer meets at least the Level I wage. An underpaid offer can complicate future H-1B visa sponsorship.
Target employers with H-1B filing history on Migrate Mate
Search GenAI Software Engineer roles on Migrate Mate to see which employers have active DOL Labor Condition Application filing history. Companies that already file LCAs understand visa timelines and are far more likely to support your OPT-to-H-1B transition without hesitation.
Time your extension filing to protect cap-gap coverage
Submit your STEM OPT extension application to USCIS at least 90 days before your initial OPT EAD expires. If you're also in an H-1B lottery year, a timely filing preserves your cap-gap work authorization through October 1 even if USCIS hasn't adjudicated your I-765 yet.
Frequently Asked Questions
Does a GenAI Software Engineer role qualify for the STEM OPT extension?
Yes, if your degree is in a DHS-designated STEM field such as computer science, data science, or electrical engineering and the role directly applies that training. The job title alone doesn't determine eligibility. Your DSO reviews the I-983 training plan to confirm the work aligns with your degree's CIP code. Roles focused on large language model development, fine-tuning, or AI infrastructure typically satisfy this alignment requirement.
What E-Verify requirement applies to my STEM OPT employer?
Your employer must be enrolled in E-Verify before you can be authorized to work under the STEM OPT extension. This is a federal requirement enforced by ICE. Enrollment isn't the same as simply using E-Verify for one hire. Ask the recruiter or HR team for the company's E-Verify employer ID to confirm active enrollment before you sign an offer letter.
What goes into the I-983 training plan for a GenAI role?
The I-983 requires you and your employer to document specific learning objectives tied to your STEM degree, the supervision structure, and how the role develops your skills. For GenAI positions, this means describing concrete technical work such as training pipelines, prompt engineering, model evaluation, or deployment infrastructure. Generic descriptions like 'software development' aren't sufficient. USCIS guidance requires objectives specific enough to evaluate whether training goals are being met.
How does cap-gap work if I'm on STEM OPT and selected in the H-1B lottery?
If you file a timely H-1B petition before your STEM OPT EAD expires and USCIS receives it by the cap-gap start date, your work authorization automatically extends through September 30. If your H-1B petition is approved with an October 1 start date, you're covered continuously without a gap. If your petition is denied, your STEM OPT authorization ends and you enter a 60-day grace period. USCIS publishes cap-gap guidance on its OPT pages.
Where can I find GenAI Software Engineer jobs with E-Verify employers?
Migrate Mate filters GenAI Software Engineer listings to show employers with verified E-Verify enrollment and active DOL Labor Condition Application filing history, so you're not wasting applications on companies that can't legally hire you under STEM OPT. You can search by role, location, and employer filing history to prioritize companies already familiar with OPT and H-1B sponsorship workflows.