Industry Solution Leader - Oil, Gas & Chemical; Process Optimization​/Network Optimization

Industry Solution Leader
- Oil, Gas & Chemical (Process Optimization/Network Optimization)

C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise.

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C3 AI

C3 AI is seeking an Industry Solution Leader (ISL) for Oil, Gas & Chemical to lead the design and delivery of enterprise AI solutions for its clients with a specialization in Process Optimization/Network Optimization.

Industry Solution Leaders combine deep industry and engineering expertise with end-to-end ownership of customer solutions. They are expected to understand a customer's operations deeply enough to challenge assumptions, identify and quantify the highest-value opportunities, define the right technical solution, and lead cross-functional teams through design, deployment, validation, and scale.

The role combines the responsibilities of a senior domain expert and solution leader. Industry Solution Directors work directly with customer engineering, operations, maintenance, and executive teams while leading C3 AI Forward Deployed Engineers, data scientists, product teams, and other technical resources to deliver measurable business outcomes.

The ideal candidate brings significant hands-on experience in engineering, manufacturing, operations, reliability, or maintenance and has the technical judgment, customer leadership, and delivery ownership required to lead complex enterprise AI solutions from problem definition through production.

The ISL, Oil, Gas & Chemical
- Process Optimization/Network Optimization should have hands-on experience in midstream or downstream oil & gas operations or engineering, including pipelines, compressor stations, pumps, terminals, tanks, and SCADA systems, with ownership of throughput, hydraulics, integrity, reliability, scheduling, or operating constraints.

RESPONSIBILITIES

• Own the overall solution strategy, technical direction, and delivery outcomes for assigned customer engagements, maintaining accountability from initial problem definition through production deployment and scale.
• Serve as the primary customer-facing solution leader and domain expert, developing a detailed understanding of customer operations, equipment, processes, constraints, and business objectives.
• Identify and quantify high-impact business opportunities across equipment reliability, maintenance, production performance, process optimization, throughput, yield, quality, energy efficiency, and operating economics.
• Translate complex engineering and operational challenges into tractable AI, machine learning, optimization, and software problems with clearly defined requirements, success criteria, and expected business value.
• Lead engagements through use case definition, requirements gathering, solution architecture, application configuration, validation, production deployment, user adoption, and scale-out.
• Apply deep engineering and industry expertise to challenge assumptions, evaluate technical approaches, interpret analytical results, and ensure solutions are consistent with engineering fundamentals and operational realities.
• Lead cross-functional teams of Forward Deployed Engineers, data scientists, product managers, engineers, and industry experts, establishing technical priorities and driving alignment around customer outcomes.
• Work directly with customer engineers, operators, reliability teams, maintenance organizations, and executives to validate requirements, solution performance, operational workflows, and business impact.
• Guide the interpretation and use of industrial data, including process signals, equipment attributes, operating states, maintenance history, production information, alarms, quality data, and other engineering information required to solve customer problems.
• Maintain accountability for solution quality, business value, technical risks, delivery progress, customer adoption, and executive communication throughout the engagement.
• Partner with C3 AI product management and engineering teams to identify reusable capabilities, inform product development, and scale successful solutions across assets, production…