Industry Solution Leader - Oil, Gas & Chemical (Refining / Chemical Asset Performance)
About this role
C3 AI develops enterprise AI application software, including a platform for building AI solutions, industry-specific SaaS applications, and generative AI tools for organizations globally. The organization needs an Industry Solution Leader focused on Refining and Chemical Asset Performance in Bengaluru to direct the design and implementation of enterprise AI projects. This practitioner acts as a bridge between industrial operations and software development, guiding cross-functional teams of engineers and data scientists to solve complex plant reliability and optimization challenges. Ideal candidates bring significant hands-on experience inside continuous-process facilities and possess the technical judgment to lead customer engagements from initial problem definition to production scale.
What you will do
- Manage the end-to-end solution strategy and technical direction for client engagements from initial problem definition to production deployment.
- Act as the primary customer-facing domain expert to understand facility operations, equipment constraints, and business goals.
- Identify high-impact opportunities across equipment reliability, maintenance, throughput, yield, and energy efficiency.
- Translate complex engineering hurdles into structured AI, machine learning, and optimization tasks with clear requirements.
- Direct cross-functional teams comprising forward deployed engineers, data scientists, and product managers.
- Collaborate directly with client engineers, operators, and executives to validate solution performance and operational workflows.
- Assist sales teams during opportunity capture by defining customer problems, deployment strategies, and solution approaches.
What you need
- Hold a bachelor's degree in engineering or a related technical discipline.
- Bring at least 7 years of experience in engineering, manufacturing, operations, reliability, maintenance, industrial technology, or technical consulting.
- Possess deep background in asset-intensive industries such as oil and gas, chemicals, petrochemicals, or heavy manufacturing.
- Demonstrate hands-on experience working inside a refinery, chemical plant, or continuous-process facility.
- Show proven ability in solving complex operational problems and improving equipment reliability, throughput, yield, or energy efficiency.
- Have strong familiarity with industrial data including sensor streams, time-series information, equipment states, and maintenance histories.
- Demonstrate experience leading complex, customer-facing technical engagements with various stakeholder levels.
Nice to have
- Experience delivering AI, machine learning, advanced analytics, optimization, or predictive maintenance solutions.
- Hands-on technical experience with industrial data, SQL, Python, analytics tools, or scripting for prototyping.
- Experience with rotating equipment, electrical equipment, production units, or other complex industrial systems.
- Experience scaling technical solutions from initial proof of value through production deployment.
Skills and tech stack
Questions candidates ask
What is the primary focus of this role?
This position leads the design and delivery of enterprise AI solutions for clients with a specialization in refining and chemical asset performance. The person in this role combines deep industry expertise with end-to-end ownership of customer solutions from problem definition to production scale.
What kind of background is required for applicants?
Candidates need a bachelor's degree in engineering and at least 7 years of experience in engineering, manufacturing, operations, reliability, or maintenance. They should also bring hands-on experience working inside a refinery, chemical plant, or similar continuous-process facility.
Will this role involve traveling?
Yes, the posting specifies an ability to travel to customer locations as required.