AI Solutions Architect

SLB • Menlo Park, CA

14h • Hybrid

About The Position

Responsible for conducting undirected technology development and tackling open-ended AI/ML problems and questions. Participate in data science, artificial intelligence, machine learning, and industrial analytics, with specific emphasis on modern deep learning methods, foundation models, generative AI, and modern decision science solutions. Work with subject-matter experts, product champions, product managers, and designers to engineer the appropriate system solutions for SLB in the Energy domain. Communicate sophisticated AI concepts to management, clients, and the business community. Research and assess next-generation technologies for inference, predictive modeling, general-purpose data-driven modeling, and optimization of complex systems. Demonstrate advanced working knowledge and experience with data analytics, machine learning algorithms, and optimization methods. Work with software engineers to integrate AI solutions in business workflows. Generate innovative ideas, establish new technology development directions, and shape and execute technical projects. Maintain state-of-the-art knowledge and contribute to technical discussions and reviews as an expert in related areas of responsibility. Communicate ideas, plans, and results effectively via oral and written reports. Works effectively with peers, management, operations groups, and outside organizations. May participate in the relevant technical reviews and audits of the projects. Review, mentor, and coach junior team members while defining and promoting the use of standards, best practices, and lessons learned. Work across multiple cross-functional teams in high-visibility roles to prototype end-to-end data solutions. Actively disseminate knowledge via Webinars, talks, and tutorials for the technical community within the company.

Requirements

• Master’s degree in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, or a related STEM field, or a foreign equivalent plus 3 years post-baccalaureate experience in job offered or any AI/Data Science related job titles.
• 3 years of experience in AI and Data Science in the Decision Science and Operations Research space using software implementation technology.
• 3 years of experience in Markov decision process.
• 3 years of experience in Data Mining for Analytics and Decision Making.
• 3 years of experience in LLL based GenAI solution development.
• 3 years of experience in Visual LM and Smal LM system development.
• 3 years of experience in Modern NLP development in AI.
• 3 years of experience in Computational intelligence and non-convex optimization techniques.
• 3 years of experience in Time-series Analysis techniques with Statistics and AI.
• 3 years of experience in Applied and mathematics statistics.
• 3 years of experience in Cloud development tools and working in cloud environments for AI, Data Mining and Large Scale data systems.
• 3 years of experience in Optimization Solver tools including CPLEX.
• 3 years of experience in Programing languages for modern AI and Data Science (Python, R, Tensorflow, PyTorch).

Responsibilities

• Conducting undirected technology development and tackling open-ended AI/ML problems and questions.
• Participating in data science, artificial intelligence, machine learning, and industrial analytics, with specific emphasis on modern deep learning methods, foundation models, generative AI, and modern decision science solutions.
• Working with subject-matter experts, product champions, product managers, and designers to engineer appropriate system solutions for SLB in the Energy domain.
• Communicating sophisticated AI concepts to management, clients, and the business community.
• Researching and assessing next-generation technologies for inference, predictive modeling, general-purpose data-driven modeling, and optimization of complex systems.
• Demonstrating advanced working knowledge and experience with data analytics, machine learning algorithms, and optimization methods.
• Working with software engineers to integrate AI solutions in business workflows.
• Generating innovative ideas, establishing new technology development directions, and shaping and executing technical projects.
• Maintaining state-of-the-art knowledge and contributing to technical discussions and reviews as an expert in related areas of responsibility.
• Communicating ideas, plans, and results effectively via oral and written reports.
• Working effectively with peers, management, operations groups, and outside organizations.
• Participating in relevant technical reviews and audits of projects.
• Reviewing, mentoring, and coaching junior team members while defining and promoting the use of standards, best practices, and lessons learned.
• Working across multiple cross-functional teams in high-visibility roles to prototype end-to-end data solutions.
• Actively disseminating knowledge via Webinars, talks, and tutorials for the technical community within the company.

What This Job Offers

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