Capgemini
Associate-AI-ML Engineer / GenAI Engineer - Data Scientist
Houston, TX, US · Internship
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odds of building a lasting career here
Thin sponsorship signal and lottery-bound (~15% per draw). A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
The bottom of this range ($46,000) is below the Level I prevailing wage of $87,776. An H-1B cannot be filed below the prevailing wage, so an offer at the floor of this band could not be sponsored as posted.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $110,344 would place this position at wage Level II. That figure is within the posted range, and I'd like to target it. This role classifies under "Software Developers" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · Houston-Pasadena-The Woodlands, TX. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
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About the role
- Participate in client workshops and presentations, effectively articulating technical concepts to diverse stakeholders.
Responsibilities
- Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
- 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.
- Develop agentic AI workflows and intelligent agents to automate tasks and improve operational efficiency.
- Develop reusable assets, demos, and solution accelerators.
Requirements
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related quantitative field.
- Proficiency in at least one AI-centric programming language (e.g., Python).
- Experience with:
- Excellent communication, presentation, and interpersonal skills, with proven ability to engage effectively in client-facing situations.
Nice to have
- Familiarity with industry-specific tools such as Seeq and historians (e.g., PHD).
- Experience with any of the following:
- data visualization tools and techniques
- graph database technology (Neo4J, Ontotext)
- JIRA / Confluence
- Prior project or internship experience in a consulting environment.
- 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.
Skills
- Work with leading cloud technologies (Azure, AWS, GCP) and their AI/ML services.
- Utilize platforms such as Databricks, PySpark, and modern AI frameworks.
- Stay current with emerging AI technologies and industry trends, particularly within the Energy & Utilities landscape.
Compensation
- $46k-$111k
Company info
- 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 listing is sourced directly from Capgemini's careers page and normalized into a canonical job model.