AI ML Engineering Visa Sponsorship Jobs in Texas
Texas is one of the top states for AI and ML engineering visa sponsorship, with major hiring concentrated in Austin, Dallas, and Houston. Companies like Dell Technologies, AT&T, and a growing cluster of AI-focused startups and enterprise tech firms regularly sponsor H-1B visa and other work visas for qualified machine learning engineers and AI researchers.
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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.
AI ML Engineering Job Roles in Texas
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Search AI ML Engineering Jobs in TexasAI ML Engineering Jobs in Texas: Frequently Asked Questions
Which companies sponsor visas for AI ML engineers in Texas?
Several large employers in Texas have established records of sponsoring work visas for AI and ML engineering roles. Dell Technologies in Round Rock, AT&T in Dallas, Texas Instruments, and Amazon Web Services operations in the state regularly file H-1B petitions for machine learning engineers and data scientists. Austin's tech corridor also includes companies like Apple, Google, and Tesla with significant AI hiring activity in the state.
Which visa types are most common for AI ML engineering roles in Texas?
The H-1B is the most common visa for AI and ML engineering positions in Texas, as these roles typically qualify as specialty occupations requiring at least a bachelor's degree in computer science, statistics, or a related field. Candidates with advanced degrees may also encounter EB-2 or EB-1B pathways through employer-sponsored green card petitions. Australians working in AI roles may qualify for the E-3 visa as an alternative to the H-1B.
Which cities in Texas have the most AI ML engineering sponsorship jobs?
Austin leads Texas for AI and ML engineering sponsorship activity, driven by its concentration of tech headquarters and satellite offices. Dallas and the broader DFW metroplex follow closely, with strong demand from finance, telecom, and enterprise software companies. Houston contributes through energy tech and healthcare AI, particularly around the Texas Medical Center, which has invested heavily in machine learning research and clinical applications.
How to find ai ml engineering visa sponsorship jobs in Texas?
Migrate Mate is built specifically for international job seekers and filters AI and ML engineering roles in Texas by visa sponsorship availability, saving you from applying to positions that won't support work authorization. The platform aggregates openings from employers with active H-1B and other sponsorship histories across Austin, Dallas, and Houston, making it easier to target companies already familiar with the sponsorship process for technical roles.
Are there any Texas-specific considerations for AI ML engineers seeking visa sponsorship?
Texas has no state income tax, which affects prevailing wage comparisons used in H-1B Labor Condition Applications since the DOL benchmarks wages against local market rates. Austin and Dallas metro areas have seen rapid salary growth in AI and ML roles, meaning DOL prevailing wage levels are updated regularly to reflect local conditions. Texas universities including UT Austin and Texas A&M also supply strong domestic and international graduate pipelines, making competition for sponsored roles particularly active.
What is the prevailing wage for sponsored ai ml engineering jobs in Texas?
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.