Role overview
- 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'll work on
- 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.
What we're looking for
- 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.
Tags & focus areas
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