Overview
Skills
Job Details
Purpose of the Position
To lead the discovery, design, and delivery of AI-powered solutions that transform enterprise and government processes and drive measurable business outcomes. The Director of AI Solutions will translate market needs into competitive, production-ready solutions through hands-on application of deep technical expertise across data, analytics, and AI architectures. This role is critical to mission, helping make AI-driven transformation real through product-led innovation, practical, scalable delivery, and support for solution growth and monetization.
Location: Northern Virginia (Washington, DC metro area)
Candidates must reside in the Washington, DC metro area to support in-person collaboration as needed, with a preference for those based in Northern Virginia. Key team members may be expected to work in person up to four days per week.
Travel
Occasional travel is expected for in-person collaboration, business development, and client engagements, including visits to government agencies, partner sites, industry events, and enterprise customer locations, based on project needs and engagement priorities.
Key Result Areas and Activities
- Provide solution thought leadership to shape market-relevant AI offerings
- Design and architect AI-powered solutions for real-world operational use
- Deliver enterprise-grade AI solutions with quality, explainability, and trust
- Support presales and solution shaping for customer acquisition and revenue growth
- Research, experiment, and prototype emerging approaches for competitive AI solutions
- Support ecosystem partnerships and solution assets for innovation and scalable growth
Qualifications
- U.S. Citizenship may be required for certain client engagements based on contractual requirements.
- Bachelor s degreein computer science, engineering, or a related technical field;Master s degree preferred
- 10 14 years of combined experienceacross solution architecture, data & analytics engineering, and AI-enabled solution delivery, demonstrating full-stack exposure across the data *-and analytics lifecycle
- Demonstrated past performance delivering at least one large-scale, enterprise-grade data and analytics solution, including responsibility for architecture, implementation, and operational readiness
- Demonstrated ability to learn quickly and apply new concepts related to AI, technology, and business transformationin a fast-paced, evolving environment