AI Architect or Sr. AI Engineer

Chord Energy • Houston, TX

89d

About The Position

The Chord Energy AI Architect or Sr. AI Engineer is a technical individual contributor role, focused on supporting business opportunities through the use of exploratory data analytics, machine learning models and generative AI opportunities. This position is located in Downtown Houston, TX. Hybrid work schedule is an option for remote work on Mondays and Fridays. Level and salary commensurate with experience.

Requirements

• Bachelor’s degree in Computer Science, Data Science, Engineering or related field (Master’s or PhD preferred).
• Previous experience in upstream oil and gas with independent E&P companies.
• 7+ years across two or more disciplines such as AI/ML engineering, solutions architecture, cloud development or data engineering.
• Hands-on expertise with ML frameworks (e.g., scikit-learn, mlflow), and automated MLOps tooling on major clouds.
• Proven ability to translate complex business objectives into scalable technical designs and to communicate those designs to both executives and engineers.
• Strong interpersonal and collaborative skills.
• Demonstrated ability to work in a team-oriented environment.
• Excellent presentation skills.
• Ability to work in a fast-paced and fluid environment; flexible with the demands of a growing company.
• Ability to meet deadlines.

Nice To Haves

• Master’s degree or PHD or certification in Data Science or Data Analytics.
• Familiarity with additional programming languages (SQL, R, C++, etc.).
• Previous Oil and Gas operator experience.
• Exposure to Petroleum Engineering and Geoscience workflows.
• Exposure to the energy sector, particularly unconventional exploitation programs.

Responsibilities

• Leading and participating in multi-disciplinary projects aimed at providing business solutions to a diverse set of problems.
• Focusing on production automation/optimization, drilling and completion process optimization, back-office process improvement and automation, dashboard generation and deployment, and computer vision aided operations.
• Contributing to the adoption of new technologies and best practices for analytical workflows.
• Working well in a team and in support of core business functions.

What This Job Offers

• Career Level: Senior
• Education Level: Master's degree
• Number of Employees: 501-1,000 employees