The Junior AI-Native Consultant is an early-career, client-facing role focused on applying AI, Machine Learning, and Generative AI solutions within the Energy & Utilities sector. The role supports digital transformation initiatives by developing AI-powered solutions, analytics, and automation capabilities.

Key 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

Use tools such as:
Databricks
PySpark
LangChain
GPT/Claude/LLMs
Support data preparation, model deployment, monitoring, and MLOps activities.
Participate in client workshops, presentations, and solution discussions.
Develop reusable assets, demos, and accelerators.

Required 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

Experience Requirements
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)
Preferred Skills
TensorFlow, PyTorch, scikit-learn
NLP and Computer Vision
Neo4j or Graph Databases
Seeq, PHD Historians
Jira & Confluence

Job Description

Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data findings. May create dynamic data reports.

Job Description - Grade Specific

The role combines advanced technical expertise in data science with consulting skills to provide strategic guidance and solutions to clients.

The base compensation range for this role in the posted location is $95,342 to $105,354

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.