AI Solutions Architect

Role overview Lead the technical work that helps enterprise security, data, and AI teams assess AI systems before connecting them to sensitive information. You’ll guide customer engagements from technical discovery and tailored demonstrations through pilot deployment, findings review, and production handoff, while helping shape how future pilots are delivered.

Responsibilities - Map customers’ AI knowledge bases, retrieval designs, data sources, and access controls to define what a pilot should evaluate. - Build demonstrations around customer use cases and integrate the solution in customer environments. - Lead pilots from initial setup through a final review of exposure tests and telemetry. - Explain findings to security, data, and compliance stakeholders, relating them to relevant threat models and reporting frameworks. - Support production conversion through architecture planning, security reviews, questionnaires, and handoff. - Document customer feedback and technical needs for engineering and product teams.

Requirements - At least five years in solutions architecture, solutions or sales engineering, or forward-deployed engineering; security, data, or AI infrastructure experience is relevant. - Practical experience deploying enterprise AI systems, such as retrieval-augmented generation, vector databases, language model APIs, or assistants connected to company data. - Working knowledge of cloud environments, identity and access management, and enterprise handling of sensitive data. - Ability to write code, such as Python, to complete integrations independently. - Clear communication with both technical teams and business stakeholders.

Benefits and work setup Full-time role, hybrid in Charlottesville, Virginia, or remote in the Eastern time zone. Compensation is listed up to $160,000.