AI Solutions Architect

AI Solutions ArchitectCNPC USA is seeking a highly experienced AI Solutions Architect to lead the design, prototyping, implementation, and integration of artificial intelligence, machine learning, generative AI, and industrial analytics solutions for oil and gas technology applications. This position is a key technical role responsible for translating open-ended business and technical challenges into scalable AI system architectures, decision-support tools, digital workflows, and production-ready analytical solutions. The ideal candidate will have advanced working knowledge of data analytics, modern machine learning algorithms, foundation models, large language models, vision-language models, small language models, optimization methods, operations research, and modern decision science. This role will work closely with subject-matter experts, product champions, product managers, designers, and software engineers to develop AI-enabled solutions that support CNPC USA technology development, product commercialization, and energy-domain digital transformation. Key responsibilities include conducting exploratory technology development, participating in data science initiatives, developing and evaluating solutions using modern deep learning methods, researching next-generation technologies, engineering system-level AI solutions, integrating AI solutions into business workflows, generating innovative ideas, maintaining state-of-the-art knowledge, communicating sophisticated AI concepts, preparing reports and presentations, working effectively with peers and management, participating in technical reviews, reviewing, mentoring, and coaching junior team members, and disseminating knowledge through various channels. Minimum education and experience requirements include a master's degree in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, or a related STEM field, and three years of post-baccalaureate experience in the job offered or in any AI/data science-related job title. Applicants must have three years of experience in each of the following: AI and data science in the decision science and operations research space using software implementation technology, Markov decision process methods and applications, data mining for analytics and decision making, LLM-based generative AI solution development, vision-language model and small language model system development, modern NLP development in AI, computational intelligence and non-convex optimization techniques, time-series analysis techniques using statistics and AI, applied mathematics and statistics, cloud development tools and cloud environments for AI, data mining, and large-scale data systems, optimization solver tools, including CPLEX, and programming languages and frameworks for modern AI and data science, including Python, R, TensorFlow, and PyTorch. Preferred experience includes applying AI/ML, optimization, and decision science to oilfield, drilling, completion, reservoir, production, or other oil and gas related domains, architecting end-to-end AI systems, experience with generative AI application patterns, translating ambiguous business needs into technical roadmaps, leading cross-functional technical discussions, and mentoring engineers or data scientists on AI solution design and best practices. This position requires 5-10% domestic and international travel for internal workshops, project work sessions, technical workshops, conferences, and customer presentations. Local travel between other CNPC USA locations and testing or partner facilities may be required. Telecommuting is permitted less than 50% per week within the same geographic location as the assigned CNPC USA office location. This position has no direct supervisory responsibilities; however, it does act as a mentor and technical point of contact for less experienced engineers, data scientists, and AI/ML team members. CNPC USA is an Equal Opportunity Employer (EOE). Qualified applicants are considered regardless of race, color, age, sex, sexual orientation, religion, disability, ethnicity, national origin, marital status, veteran status, or any other legally protected status.