AI Solutions Architect
On-site · Houston, Texas, United States
Job Summary
AI Solutions Architect at CNPC USA leads design, prototyping, implementation, and integration of AI/ML, generative AI, and industrial analytics solutions for oil and gas tech. Responsibilities include translating open-ended business/technical challenges into scalable AI architectures, developing end-to-end data solutions, integrating AI into production workflows and cloud environments, mentoring junior engineers, and communicating complex AI concepts to management and technical stakeholders. Requires advanced knowledge of data analytics, foundation models, LLMs, NLP, vision-language and small language models, optimization, operations research, and time-series analytics. Travel 5-10% and telecommuting allowed <50% per week within the same geographic location as the CNPC USA office.
Required Qualifications
- 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 years of experience in AI and data science in 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
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