AI Architect or Sr. AI Engineer

Location: Houston, TX - Corporate

Time Type: Full time

Job Description

Job Title: AI Architect or Sr. AI Engineer

Position Summary

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.

Essential Job Functions

The primary responsibility involves leading and participating in multi-disciplinary projects aimed at providing business solutions to a diverse set of problems ranging from, but not limited to, production automation/optimization, drilling and completion process optimization, back-office process improvement and automation, dashboard generation and deployment, and computer vision aided operations. Additionally, the Data Scientist will contribute to the adoption of new technologies and best practices for analytical workflows. The ability to work well in a team and in support of core business functions will be critical to the success of this role.   

This job description is not intended to be an all-inclusive list of duties and responsibilities of the position. Incumbents will be required to follow any other job-related instructions and duties outside of their normal responsibilities as assigned by their supervisor.

Minimum Qualifications

• 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
• Physical Requirements and Working Conditions: Must possess mobility to work in a standard office setting and to use standard office equipment, including a computer, stamina to maintain attention to detail despite interruptions, strength to lift and carry files weighing up to 10 pounds; vision to read printed materials and a computer screen, and hearing and speech to communicate in person and over the telephone

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Preferred Qualifications

• 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

This role presents an exciting opportunity for an AI Architect or Sr. AI Engineer to contribute to the advancement of Chord's data science transformation, leveraging expertise in data analytics to drive innovation and optimize operational outcomes.

EEO Statement:

Chord Energy does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.