You will own the evolution of shared AI components and lead the design and build of end-to-end AI-powered product features. Additionally, you will establish technical vision, mentor engineering team members, and build scalable delivery systems for agentic workflows.
You will drive security implementation, automation, and compliance across the AI/ML development lifecycle while assessing risks like prompt injection and data poisoning. You will also partner cross-functionally to embed security controls and define secure development practices across the SDLC.
The AI Security Engineer will assess and mitigate security risks specific to AI/ML systems, including model integrity and prompt injection. They will also drive security implementation, automation, and compliance across the AI/ML development lifecycle while collaborating with cross-functional teams.
The Solutions Engineer acts as a technical expert to support pre-sales, solution design, and product demonstrations for public sector clients. They collaborate with cross-functional teams to align product capabilities with client requirements and ensure successful sales cycles.
Act as a practitioner authority to provide domain credibility during sales discovery, executive meetings, and industry conferences. Collaborate with product teams to align software roadmaps with the operational realities of government budgeting, procurement, and grants management.
Lead the design and implementation of agentic AI capabilities and shared platform components for a government finance platform. Own the end-to-end delivery of AI features, including orchestration, observability, and the underlying SaaS backend infrastructure.
