GenAI Data Scientist, Subsurface AI Solutions

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

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.