AI Solutions Architect

Key Responsibilities

• Conduct exploratory and undirected technology development to address open-ended AI/ML problems and questions in the energy domain.
• Participate in data science, artificial intelligence, machine learning, industrial analytics, decision science, and operations research initiatives.
• Develop, prototype, and evaluate solutions using modern deep learning methods, foundation models, generative AI, modern NLP, vision-language models, small language models, and time-series analytics.
• Research and assess next-generation technologies for inference, predictive modeling, general-purpose data-driven modeling, and optimization of complex systems.
• Engineer appropriate system-level AI solutions in collaboration with subject-matter experts, product champions, product managers, designers, and software engineers.
• Work with software engineering teams to integrate AI solutions into business workflows, cloud environments, data platforms, and production applications.
• Prototype end-to-end data solutions across multiple cross-functional teams in high-visibility roles.
• Generate innovative ideas, establish new technology development directions, and shape and execute technical projects from concept through deployment.
• Maintain state-of-the-art knowledge and contribute to technical discussions, architecture reviews, project reviews, and expert assessments in related areas of responsibility.
• Communicate sophisticated AI concepts, plans, recommendations, and results effectively to management, clients, technical stakeholders, and the broader business community.
• Prepare oral and written reports, presentations, technical memoranda, project documentation, and executive-level summaries.
• Work effectively with peers, management, operations groups, and outside organizations to advance technology development and deployment.
• Participate in relevant technical reviews and audits of projects as requested.
• Review, mentor, and coach junior team members while defining and promoting standards, best practices, reusable architectures, and lessons learned.
• Actively disseminate knowledge through webinars, talks, tutorials, technical communities, and internal training activities.

Minimum Education & Experience Requirements

• Master's degree in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, or a related STEM field, or foreign equivalent.
• Three (3) years of post-baccalaureate experience in the job offered or in any AI/data science-related job title.
• Applicants must have three (3) 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.
• Programming languages and frameworks for modern AI and data science, including Python, R, TensorFlow, and PyTorch.

Preferred Experience

Physical Demands

Travel

Work Arrangement

Supervisory Responsibility

• 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.
• Disclaimer: The job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Other duties, responsibilities and activities may change or be assigned at any time with or without notice.