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About the Role

C3 AI is seeking an Industry Solution Leader (ISL) for Heavy Industrial to lead the design and delivery of enterprise AI solutions for its clients, specializing in Integrated Steel Optimization and Asset Performance. This role combines deep industry and engineering expertise with end-to-end ownership of customer solutions, requiring a strong understanding of customer operations to identify opportunities, define technical solutions, and lead cross-functional teams through the entire solution lifecycle.

Responsibilities

• Own the overall solution strategy, technical direction, and delivery outcomes for assigned customer engagements.
• Serve as the primary customer-facing solution leader and domain expert.
• 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.
• 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 and evaluate technical approaches.
• Lead cross-functional teams of Forward Deployed Engineers, data scientists, product managers, engineers, and industry experts.
• Work directly with customer engineers, operators, reliability teams, maintenance organizations, and executives.
• Guide the interpretation and use of industrial data.
• Maintain accountability for solution quality, business value, technical risks, delivery progress, customer adoption, and executive communication.
• Partner with C3 AI product management and engineering teams to identify reusable capabilities and inform product development.
• Support sales teams during opportunity assessment and capture.
• Support development of statements of work and deployment plans.
• Develop repeatable industry methodologies, solution patterns, and best practices.
• Represent C3 AI in relevant customer, industry, and technical forums.

Requirements

• Bachelor's degree in Engineering or a related technical discipline.
• 7+ years of experience in engineering, manufacturing, operations, reliability, maintenance, industrial technology, or technically focused consulting.
• Deep experience in one or more asset-intensive industries.
• Demonstrated experience solving complex operational problems and improving equipment reliability, production performance, throughput, yield, quality, maintenance effectiveness, energy efficiency, or operating economics.
• Strong understanding of industrial equipment, manufacturing or production processes, process controls, maintenance practices, and operational workflows.
• Experience working with industrial data including sensor and time-series data, equipment states, alarms, maintenance history, production data, laboratory or quality information, equipment hierarchies, and engineering data.
• Experience with industrial systems such as process historians, SCADA, DCS, MES, EAM/CMMS, ERP, advanced process control, or industrial analytics platforms.
• Demonstrated ability to reason from engineering fundamentals and determine whether analytical and AI-driven recommendations are credible.
• Demonstrated experience leading complex, customer-facing technical engagements and working directly with engineering, operational, and executive stakeholders.
• Strong analytical and problem-solving skills.
• Ability to work effectively with software engineers, data scientists, product managers, and customer technical teams.
• Excellent presentation, written communication, leadership, and interpersonal skills.
• Ability to travel to customer locations as required.
• Experience delivering AI, machine learning, advanced analytics, optimization, predictive maintenance, condition monitoring, process optimization, or industrial digital transformation solutions.
• Hands-on technical experience working with industrial data, SQL, Python, analytics tools, application configuration, scripting, or similar technologies.
• Experience with rotating equipment, electrical equipment, production equipment, manufacturing lines, process units, mining systems, utility assets, or other complex industrial systems.
• Experience taking technical solutions from initial proof of value through production deployment and scale.
• Experience scaling solutions across multiple assets, plants, facilities, or business units.
• Advanced degree in Engineering, Science, or a related technical discipline.
• Authorized to work in the United States without the need for current or future company sponsorship.

Skills

• Enterprise AI
• Integrated Steel Optimization
• Asset Performance
• AI
• Machine Learning
• Optimization
• Software Development
• Data Science
• Industrial Data Analysis
• SQL
• Python
• Analytics Tools
• Application Configuration
• Scripting

Location

• United States

Work Type

• Full-time

Experience Level

• 7+ years of experience
• Senior

Education Level

• Bachelor's degree in Engineering or a related technical discipline
• Advanced degree in Engineering, Science, or a related technical discipline

Salary/Compensations

• $130,000—$167,000 USD

Benefits

• Competitive compensation package
• Generous equity plan

About the Company

• 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.

Equal Opportunity

• C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer.
• We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status.