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 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.

 

We offer you: 

 

• Pension Plan: Enrollment is automatic and at no cost to you. The basic benefit is a monthly annuity to be paid to you in retirement for the rest of your life. 
• Savings Plan: You can contribute between 6% and 20% of your pay and are encouraged to enroll right away. If you contribute at least 6% to your savings plan, the Company will contribute a 7% match. 
• Workplace Flexibility: We have several programs such as “Flex your Day”, providing ad-hoc flexibility around when and where you work, as well as longer-term programs such as leaves of absence and part-time work.
• Comprehensive medical, dental, and vision plans. 
• Culture of Health: Programs and resources to support your wellbeing. 
• Employee Health Advisory Program: Provides confidential professional counseling for you and your family, including tools and resources promoting mental health and resiliency at no additional cost to you. 
• Disability Plan: Income replacement for when you cannot work due to illness or injury occurring on or off the job. Enrollment is automatic and at no cost to you.
  
   

More information on our Company’s benefits can be found at

 

Please note benefits may be changed from time to time without notice, subject to applicable law.

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Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship. 

Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.

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