GenAI Data Scientist, Commercial, Supply Chain & Trading

ExxonMobil; Texas; On-site; USD 180,000 - 250,000; Full time

Job summary

ExxonMobil is seeking an AI/ML expert to lead the design and deployment of Generative AI solutions for subsurface and well-related operations. You will collaborate with data engineers to integrate models into existing digital infrastructure and build agentic workflows for complex tasks.

The role emphasizes hands-on testing, model validation, and cross-team mentorship within an Agile environment, with a focus on scalable AI capabilities across energy domains.

Qualifications

• 5+ years of professional experience in developing and deploying AI/ML solutions.
• Generative AI technologies applied to physical systems and engineering workflows.
• Strong NLP, LLMs, and agentic workflows expertise.
• Knowledge graphs, ontologies, and semantic technologies familiarity.
• AI/ML data processing, statistics, and explainable AI knowledge.
• Proven track record with end-to-end Generative AI, multi-agent systems in business.

Responsibilities

• Lead scoping, design, development, and deployment of AI/ML solutions focusing on Generative AI for subsurface and well-related operations.
• Collaborate with data and ML engineers to operationalize models and integrate with existing digital infrastructure.
• Build and deploy AI components (chatbots, agents, workflow automation) handling diverse data sources.
• Develop orchestration of multiple AI agents to achieve complex tasks.
• Apply domain knowledge to improve model accuracy and reliability.
• Share expertise and develop best practices across teams; provide mentorship.

Skills

Generative AI

NLP

LLMs

Python

TensorFlow

PyTorch

Scikit-learn

Langchain

Promptflow

Copilot Studio

Knowledge graphs

Ontologies

Semantic technologies

Explainable AI

Multi-agent systems

Education

Master's or PhD in Data Science, CS, or Engineering

Tools

Databricks

Azure OpenAI

Azure NLP services

OCR technologies

Job description

About us

At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net‑zero future. As one of the world's largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for.

The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies.

We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society's evolving needs. Learn more about our What and our Why (https://corporate.exxonmobil.com/About-us/Who-we-are) and how we can work together.

What role you will play in our team

• Work on complex AI use cases from ideation and discovery through deployment and sustainment as part of integrated, enterprise-level teams.
• Collaborate with ExxonMobil subject matter experts to strengthen organizational capabilities in AI/ML.
• Support business teams in making impactful, data-driven decisions.

What you will do

• Lead the scoping, design, development, and deployment of AI/ML solutions, primarily focused on Generative AI applications for subsurface and well-related operations.
• Collaborate with data and machine learning engineers to operationalize models and ensure seamless integration with existing digital infrastructure.
• Build and deploy AI system components (such as chatbots, agents, and other workflow automation components) capable of interacting with diverse data sources and providing insightful information to users.
• Develop and implement solutions involving orchestration of multiple AI agents to achieve complex tasks.
• Apply domain knowledge and physical principles to improve model accuracy and reliability.
• Contribute to the growth of internal AI capabilities by sharing expertise and developing best practices.
• Provide technical mentorship and guidance to colleagues across teams.
• Work closely with team leads and subject matter experts to align on project priorities, strategy, and solution design.
• Optimize end to end AI solutions to enhance performance, usability, and cost
• Work closely with business to understand business problem and translate that into mathematical framework. Also, work with business to help enhance business adaptability for the solution.
• Validate AI system responses, including troubleshooting prompt engineering, agentic workflows and other aspects of a GenAI system.
• Develop process and automation for accelerating validation of AI systems, while ensuring the proper degree of accuracy is maintained.

About you

Skills / Qualifications

• 5+ years of professional experience in developing and deploying AI/ML solutions, with a strong emphasis on
• Generative AI technologies and a solid background in applying these methods to physical systems and engineering workflows.
• Deep expertise in natural language processing (NLP), large language models (LLMs), and building agentic workflows for Generative AI with the ability to understand underlying mathematics and develop novel algorithms.
• Solid understanding of knowledge graphs, ontologies, and semantic technologies.
• Solid foundation and experiences in AI/ML on data processing, probability and statistics, EDA, feature engineering, modeling strategy, model development, and explainable AI.
• Proven track record of successfully developing and deploying multiple end-to-end Generative AI solutions, notably multi-agent systems, in business environments.
• Proficient in Python and widely used ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.
• Proficient in Generative AI frameworks such as Langchain, Promptflow, or Copilot Studio
• Proven ability to uncover meaningful insights from complex datasets.
• Strong drive toward hands‑on testing of hypotheses and rapid validation of assumptions through data.
• Strong communication, collaboration, and problem‑solving skills.
• Advanced degree (Master's or PhD) in Data Science, Computer Science, Engineering, or a related field.

Preferred Knowledge/Skills

• Experience in the energy industry, preferably with a focus on subsurface or well-related topics.
• Experience in implementing hybrid search systems in conjunction with Large Language Models, e.g. Retrieval Augmented Generation (RAG) solutions.
• Proficient in using the Databricks platform, Azure Open AI, Azure managed NLP services and OCR technologies.
• Demonstrated ability to thrive in a collaborative Agile product team setting.

Your benefits

An ExxonMobil career is one designed to last. Our commitment to you runs deep: our employees grow personally and professionally, with benefits built on our core categories of health, security, finance, and life.