AI Strategy & Enterprise Enablement. Define and execute the enterprise AI and automation strategy aligned with business priorities and digital transformation goals. Identify high-value use cases across operations, engineering, finance, land, regulatory, and corporate functions. Establish a scalable operating model for AI adoption, balancing centralized governance with embedded delivery. Drive awareness, education, and adoption of AI tools across the organization. AI Engineering & Solution Delivery. Oversee the design, development, and deployment of GPT-based tools, assistants, and automation solutions. Ensure solutions are production-grade, secure, scalable, and aligned with enterprise architecture standards. Standardize reusable components including prompt frameworks, API integrations, and workflow patterns. Guide the team in translating ambiguous business problems into structured, technical solutions. Workflow Automation & Orchestration. Lead the development of end-to-end automated workflows combining AI, enterprise data, and business logic. Promote automation-first thinking across the organization, reducing manual and repetitive work. Ensure solutions are resilient, observable, and maintainable with proper logging, monitoring, and controls. Governance, Risk & Responsible AI - Establish governance frameworks for AI usage, including security, privacy, and model risk management. Partner with Cybersecurity and GRC teams to ensure compliant and secure deployment of AI technologies. Define guardrails for prompt usage, data handling, and model outputs to ensure safe and responsible AI adoption. Business Partnership & Delivery Model. Build strong relationships with business leaders to understand workflows and prioritize automation opportunities. Establish an embedded delivery model where AI engineers work directly with business teams. Drive rapid prototyping, iteration, and continuous improvement based on user feedback. Leadership & Team Development. Build, lead, and mentor a high-performing team of AI / Automation Engineers. Foster a culture of innovation, accountability, and bias toward action. Define team standards, development practices, and career progression paths. Attract and retain top talent in AI, automation, and applied engineering disciplines. Qualifications & Experience:Education:Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field. Equivalent practical experience will be considered. Experience:8 years of experience in software engineering, automation, data engineering, or AI-related roles . years in leadership roles managing technical teams and delivering enterprise-scale solutions. Hands-on experience with GPT-based platforms (OpenAI or equivalent) and prompt engineering. Proven track record deploying AI and automation solutions in real business environments. Experience in upstream oil & gas or similar industrial environments strongly preferred. Technical Skills:Strong experience with APIs, Python and/or JavaScript, and system integrations. Familiarity with workflow automation platforms (e.g., Power Automate, UiPath, serverless orchestration). Experience integrating AI solutions with enterprise data platforms (e.g., Snowflake). Understanding of secure architecture, identity, and access management. Skills & Competencies:Strong ability to partner directly with business users, quickly build trust, and deeply understand how work actually gets done. Equally comfortable writing code and sitting with users to map workflows, ask good questions, and iterate on solutions. Bias toward action and simplification. Focused on removing friction rather than adding tooling. Ability to move between high-level problem framing and low-level implementation details without losing momentum. Strong communication skills, with the ability to explain technical concepts and AI limitations in plain language. Work Environment & Physical Requirements:Primarily office-based with occasional travel to field offices and operational sites as needed. Potential exposure to remote and high-risk environments, requiring adherence to safety protocols. May involve walking, climbing, bending, or handling equipment during site visits. Possible exposure to varying weather conditions (heat, cold, rain) while on-site at the field offices. Availability for emergency response and incident management, including after-hours support when required. Crescent Energy is an equal opportunity employer. All qualified applicants will be considered for employment without regard to race, color, religion, gender/pregnancy, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status or any other legally protected status. Crescent Energy is also committed to compliance with all fair employment practices regarding citizenship and immigration status. If you require accommodation to complete the application process, please let us know by contacting recruitment@crescentenergyco.com.