AI Solution Manager/ Senior AI Solution Manager – Federal
| Company | C3.ai |
|---|---|
| Location | Vienna, VA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Mid Level, Senior |
Requirements
- Bachelor of Science in Computer Science, Engineering, Statistics, or similar field, and Master of Science, Public Administration or Business Administration degrees with technical concentrations/expertise.
- 6+ years of work experience that includes technical problem solving and project delivery.
- Deep knowledge of at least one Federal Agency mission area and the ability to lead and shape AI/ML use case development with customers.
- Technical competence in cloud architectures and services.
- Excellent verbal and written communication and presentation skills, and experience in delivering effective presentations to senior executives – decision-makers, IT executives, and SMEs.
- Technical, polished, driven, goal-oriented and proven record of delivery.
- Ability to learn quickly with excellent analytical problem-solving skills.
- Ability to lead projects and work collaboratively across diverse teams.
Responsibilities
- Lead high-performing C3 AI teams including data scientists, solutions engineers, application engineers, and product managers in the delivery of quick turnaround, production-ready AI/ML applications.
- Collaborate with decision-makers, IT leaders, Data Science Leads, and subject matter experts in Federal Agencies to identify and frame compelling use cases for the C3 AI Suite.
- Work as a trusted partner with C3 AI Sales and potential customers to communicate the C3 AI offering, define tractable AI/ML use cases, and scope production-ready AI/ML applications.
- Convert firsthand experience into impactful input to our product direction and strategy.
- Regular travel (25+%) to customer sites is required.
Preferred Qualifications
- Programming experience in AI/ML, and the data science pipeline.
- Master of Science in Computer Science, Data Science, Engineering, Statistics, or similar field.
- Experience in working in an agile engineering organization.
- Understanding of the competitive landscape in enterprise big data and machine learning platforms.
- Understanding of the FAR and experience with the government contracting processes.
- Competency in public speaking and customer interaction.