AI Solutions Architect

Cnpc Usa Corporation • Houston, TX

3h • Hybrid

About The Position

CNPC 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.

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.
• Three (3) years of experience in AI and data science in the decision science and operations research space using software implementation technology.
• Three (3) years of experience in Markov decision process methods and applications.
• Three (3) years of experience in Data mining for analytics and decision making.
• Three (3) years of experience in LLM-based generative AI solution development.
• Three (3) years of experience in Vision-language model and small language model system development.
• Three (3) years of experience in Modern NLP development in AI.
• Three (3) years of experience in Computational intelligence and non-convex optimization techniques.
• Three (3) years of experience in Time-series analysis techniques using statistics and AI.
• Three (3) years of experience in Applied mathematics and statistics.
• Three (3) years of experience in Cloud development tools and cloud environments for AI, data mining, and large-scale data systems.
• Three (3) years of experience in Optimization solver tools, including CPLEX.
• Three (3) years of experience in Programming languages and frameworks for modern AI and data science, including Python, R, TensorFlow, and PyTorch.

Nice To Haves

• Experience applying AI/ML, optimization, and decision science to oilfield, drilling, completion, reservoir, production, or other oil and gas related domains.
• Experience architecting end-to-end AI systems, including data pipelines, model development, model serving, evaluation, monitoring, and workflow integration.
• Experience with generative AI application patterns such as retrieval-augmented generation, domain-specific copilots, multimodal AI workflows, and human-in-the-loop decision support.
• Experience translating ambiguous business needs into technical roadmaps, architecture options, proof-of-concept demonstrations, and scalable implementation plans.
• Experience leading cross-functional technical discussions and mentoring engineers or data scientists on AI solution design and best practices.

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.

Benefits

• Equal Opportunity Employer (EOE)

What This Job Offers

• Job Type: Full-time
• Career Level: Senior