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AI Solution Director at C3.ai will combine business and product development, leading teams of data scientists and engineers to scope and deliver AI/ML applications. Responsibilities include collaborating with customers to identify use cases and utilizing domain expertise to guide projects, particularly in supply chain optimization, logistics, and inventory management.

As an AI Solution Architect, you will engage with customers to implement AI solutions using the C3 AI Platform, drive architectural discussions, design reference architectures, develop documentation, assess technical risks, and collaborate with engineering teams. You will also travel to customer sites.

As a Lead QA Automation Engineer, you will oversee the automation of software quality processes, mentor QA engineers, and define testing strategies for C3 AI’s Federal Applications team. Your focus will be on enhancing test automation frameworks, executing tests, and ensuring the delivery of high-quality software across multiple products and services.

The AI Solution Director at C3.ai will leverage engineering and operational expertise to deliver AI-driven solutions for various industries, particularly focusing on process optimization and equipment reliability. Responsibilities include managing customer relationships, driving project activities, collaborating with product managers, and enhancing C3.ai's external reputation through industry outreach.

As a Director of Strategic Solutions at C3 AI, you will consult with global clients to implement digital transformation strategies, engage in strategic account selling, and collaborate with various teams to develop new business offerings. This role involves managing customer relationships and executing high-value AI use cases.

The AI Solution Manager role involves collaborating with state and local clients to scope, customize, and implement AI solutions. Responsibilities include leading cross-functional teams, managing projects, and working closely with stakeholders to ensure successful delivery of AI applications in various sectors such as law enforcement and property appraisal.

The AI Engagement Manager will oversee the solution lifecycle, collaborating with customers to craft AI use cases, leading development with teams, and advising stakeholders on future roadmaps. Responsibilities include translating requirements into specifications, managing risks, and enhancing customer adoption of AI solutions.