AI Engineer

Job Description:

Permian Resources (NYSE: PR) is currently seeking an AI Engineer in Midland TX reporting to the Head of AI. This is a hands-on leadership role: from day one the AI Engineer architects and delivers production AI systems directly while also shaping how the companys AI function grows and operates over time.

General Responsibilities

• Own hands-on architecture and delivery of production AI systems from day one with full platform access across the companys AI and data environment.

• Define and shape the AI functions next roles starting with a Knowledge Engineer who owns ontology control and a future ML Engineer who owns MLOps and monitoring for AI models and agents rather than inheriting fixed job descriptions.

• Build and lead a small high-leverage team over time or operate with broad authority across a team built around the role: the growth path is intentionally flexible and shaped by the person in it.

• Extend influence beyond direct reports through a hub-and-spoke model setting how AI systems integrate operate and improve across the broader organization.

• Own the full lifecycle of models and agents in production from methodology selection through validation orchestration safety controls and ongoing performance monitoring.

• Shape the companys build-versus-buy strategy for AI: a mix today that shifts toward in-house build over time with partners where it makes sense and with anything currently sourced externally subject to future review for whether it should be built in-house instead.

• Contribute to a shared data and AI layer strategy: an integrated system that gives the company a single connected way to act on its data built on top of its existing Azure Databricks foundation.

• Retain decision authority over AI work executed by outside consultants or systems integrators so the company directs the work rather than simply receiving it.

• Partner closely with the companys data engineering team as it modernizes its data platform moving from static tables toward real-time data products providing requirements and design input without owning that teams pipelines.

Required Qualifications

• Proven hands-on experience building AI and data applications from the ground up and taking them into production not just prototyping.

• Demonstrated ability to evaluate and adopt new AI technologies and platforms as the field evolves translating them into working systems.

• Comfort operating as a hands-on technical lead while also leading and developing a team with experience managing groups ranging from a handful of people to a dozen or more.

• Working knowledge of the full lifecycle of deploying models and AI agents into production including validation orchestration safety controls and performance monitoring.

• Experience working with cloud data platforms such as Databricks and unifying data from multiple operational sources for use in AI systems.

• Bachelors degree in computer science data science engineering or a related field or equivalent practical experience.

Preferred Qualifications

• Experience delivering high-value AI use cases within the Oil & Gas industry.

• Experience building the business case for AI investments including articulating expected value and return to non-technical executive stakeholders.

• Experience establishing responsible-AI practices including documentation standards human oversight and monitoring and guardrails for models and agents running in production.

• Experience standing up or scaling a technical function from a small team into a larger one over time.

• Domain exposure to upstream oil and gas or another asset-intensive industrial sector or comparable comfort operating in a highly regulated data-rich physical-operations environment.

Permian Resource is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.