Senior AI Engagement Manager, Maritime Industrial Base
C3.aiTysons, Virginia, United StatesPosted 25 March 2026
Job Description
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. Learn more at:
C3 AI
Senior AI Engagement Manager, Maritime Industrial Base
(Federal Maritime) role is a unique blend of AI product development and deployment, customer engagement, and aiding customers to drive adoption. You will be shaping the future of enterprise AI, conducting extensive business problem-solving, and exercising multi-disciplinary team leadership. In this role, you will work directly with Federal and Aerospace Defense clients
with a focus on Naval and Maritime Industrial Base programs
to identify high-impact AI/ML opportunities, define scalable AI solutions, and lead cross-functional teams to bring innovations to life.
You will own end-to-end AI solution delivery, from scoping and valuing AI use cases to leading the design, development, and deployment of enterprise-grade AI solutions. Managing multi-disciplinary teams of data scientists, software engineers, and industry experts, you will transform complex business challenges into AI-powered solutions that drive significant business value.
Beyond implementation, drive adoption, expansion, and long-term value realization for AI solutions, working closely with customer stakeholders to ensure solutions are embedded in day-to-day operations and scaled across programs.
You will also help productize and commercialize AI solutions, ensuring they scale beyond individual client deployments and become repeatable offerings on the C3 AI Platform to drive long-term revenue growth. Our AI Solution Managers work on highly visible, high-impact AI initiatives, for example:
Apply AI-driven supply chain solutions to transform military supply chains, reducing lead times, decreasing inventory holding costs, and improving warfighter readiness.
Apply Gen AI to transform intelligence analysis, enabling analysts to quickly access synthesize critical information
Apply predictive maintenance ML algorithms to predict critical equipment failures for military equipment, improving equipment readiness
Leverage AI to optimize enterprise planning and programmatic workflows in support of key initiatives, organizational productivity, and decision making
Responsibilities:
Serve as a trusted partner to customer stakeholders, building strong on-the-ground relationships and ensuring successful adoption of AI solutions within operational environments
Lead, brainstorm, and problem-solve together with multi-disciplinary AI teams (data scientists, engineers, architects, and industry experts) to develop and scale cutting-edge AI applications with measurable, industry-wide impact
Champion AI adoption at the executive level, engaging with customer executives to influence AI strategy and enterprise transformation
Partner with the Sales team to drive adoption and expansion, ensuring AI solutions transition from successful pilots to enterprise-wide implementations
Partner with the Product team to ensure that solutions transition from high-value pilots to standardized, repeatable enterprise offerings
Operate in a high-growth, fast-paced AI-driven environment, managing complex AI productization efforts and driving successful AI deployments
Travel regularly to Newport News, VA (3–4 days per week expected) to work closely with shipbuilding and maritime stakeholders
This is a highly visible role that combines technical depth, business acumen, and leadership to drive AI transformation across industries.
Qualifications:
Bachelors in Engineering, Operations Research, Economics, Statistics, or Computer Scienc ... (truncated, view full listing at source)
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