Junior AI & ML Consultant - Energy & Utilities

Capgemini; Houston (TX); Hybrid; USD 95,000 - 105,000; Full time

Job summary

Capgemini in Houston, TX is seeking a Junior AI-Native Consultant to apply AI, ML, and Generative AI within Energy & Utilities. You will assist in developing AI/ML solutions, build AI agents, and support RAG-based applications using cloud platforms.

This early-career client-facing role emphasizes data prep, model deployment, monitoring, and collaborating in workshops, with opportunities to create reusable assets and accelerators on Databricks, PySpark, LangChain, and LLM tooling.

Qualifications

• Bachelor's or Master’s degree in AI, Data Science, Computer Science, Engineering, or related field.
• Minimum 15 months of professional experience in AI, Data Science, or Machine Learning.
• Experience or background in Energy & Utilities, Oil & Gas, Oracle Field Service Cloud (preferred).

Responsibilities

• Assist in developing AI/ML, Generative AI, and Predictive AI solutions.
• Build and support AI agents, agentic workflows, and RAG-based applications.
• Work with cloud platforms: AWS, Azure, GCP.
• Participate in client workshops, presentations, and solution discussions.
• Develop reusable assets, demos, and accelerators.

Skills

Python

AI/ML Fundamentals

Generative AI & LLMs

RAG Concepts

REST APIs & JSON

SQL & NoSQL Databases

Cloud Technologies (AWS/Azure/GCP)

Docker

CI/CD

Azure DevOps

Education

Bachelor's or Master's degree in AI, Data Science, Computer Science, Engineering, or related field

Tools

Databricks

PySpark

LangChain

GPT/Claude/LLMs

Jira

Confluence

Job description

Capgemini in Houston, TX is seeking a Junior AI-Native Consultant to apply AI, ML, and Generative AI within Energy & Utilities. You will assist in developing AI/ML solutions, build AI agents, and support RAG-based applications using cloud platforms.

This early-career client-facing role emphasizes data prep, model deployment, monitoring, and collaborating in workshops, with opportunities to create reusable assets and accelerators on Databricks, PySpark, LangChain, and LLM tooling.