Permian Resources (NYSE: PR) is seeking an AI Specialist to help design, develop, and deploy applied artificial intelligence solutions that improve operational efficiency, decision making, and scalability across the organization. This role will focus on practical AI and machine learning applications, including Large Language Models (LLMs), agentic workflows, automation, and data driven insights, rather than purely theoretical research. 

The AI Specialist will report within the Strategic Planning organization, but will work closely with IT, engineering, operations, data, and business stakeholders to identify high-value use cases and translate them into secure, maintainable, and measurable AI solutions. This position is ideal for a hands-on technologist who understands both modern AI capabilities and enterprise constraints (security, data governance, & reliability). 

Key Responsibilities 

• Design, build, and maintain AI driven solutions, including LLM based applications, automation tools, and agentic workflows 

• Develop and optimize prompt engineering strategies and multistep AI agents to support business processes and decision support 

• Partner with business and technical teams to identify, prioritize, and prototype AI use cases with clear ROI 

• Integrate AI solutions with existing systems, data sources, and workflows using APIs, scripting, and automation tools 

• Apply machine learning, natural language processing (NLP), and data analysis techniques to real-world operational and business problems 

• Support responsible AI practices, including data quality, model evaluation, security, and governance considerations 

• Document AI solutions, workflows, and best practices to ensure scalability and knowledge transfer 

• Stay current with emerging AI technologies, tools, and frameworks and assess their applicability to Permian Resources’ environment 

Required Qualifications 

• Bachelor’s degree in Computer Science, Data Science, Information Technology, Engineering, or a related field 

• Hands-on experience building or supporting AI/ML solutions in a professional, academic, or applied setting 

• Working knowledge of Large Language Models (LLMs) and practical prompt engineering techniques 

• Experience working with structured and unstructured data, including SQL and relational databases 

• Solid understanding of software development fundamentals, APIs, and version control 

• Strong analytical, problem solving, and communication skills 

• Ability to translate complex technical concepts into practical business solutions 

Preferred Qualifications 

• Experience with agentic AI frameworks, workflow orchestration, or AI powered automation 

• Exposure to cloud platforms, containerization, or scalable application deployment 

• Familiarity with data pipelines, reporting, or business intelligence tools 

• Experience applying AI to operations, engineering, or industrial environments 

• Understanding of cybersecurity, data governance, or compliance considerations related to AI systems 

• Strong experience with Python for data analysis, automation, or application development 

• Prior experience in energy, financial, industrial, or asset intensive industries