AI Solutions Architect- Federal

About the Role

You will serve as the pre-sales technical lead for federal pursuits spanning the Intelligence Community, DoW/DoD, DHS, and civilian agencies. Partnering with Account Directors, you will help mission owners adopt AI and machine learning with purpose built AI Security Platform, carrying each opportunity from the first discovery conversation through proof of value and technical win.

You will architect and deploy our platform in both connected SaaS and fully disconnected, airgapped environments. You will write real integrations against our SDKs and APIs. You will create mission-focused demonstrations and proof-of-concept AI applications that show how AI workloads are attacked and how we defend them.

Requirements

• Location: Remote (US), DC Metro Area Preferred
• Clearance: Active Top Secret or TS eligible strongly preferred

What You'll Do

Lead Technical Engagements

• Lead discovery workshops to understand customer missions, AI initiatives, architectures, data pipelines, and security and compliance requirements.
• Translate ambiguous mission needs into scoped proof-of-value engagements with measurable success criteria, timelines, and exit conditions.
• Qualify technical fit honestly, including what our platform will, and will not do.
• You derive scope from chaos, turning loosely defined mission problems into concrete evaluation plans with measurable success criteria.

Create the real-world solution

• Architect and deploy the HiddenLayer platform in SaaS and fully airgapped environments, including packaging container images, Helm charts, and artifacts for transfer into networks with no internet access.
• Stand up and administer Kubernetes-based deployments using Docker, Helm, and private registries across cloud environments (including AWS government and disconnected regions) and on-premises virtualization platforms such as VMware, Proxmox, and OpenShift.
• Build mission-focused demonstrations and proof-of-concept AI applications (computer vision, LLM, and agentic workloads) and integrate HiddenLayer SDKs and APIs to protect them, from model scanning in CI/CD pipelines to runtime detection and response.
• Advise customers on securing models, AI applications, data pipelines, and supporting infrastructure, aligned to frameworks such as MITRE ATLAS, the OWASP Top 10 for LLM Applications, and the NIST AI Risk Management Framework.

Influence others on the solution

• Deliver live demonstrations and architecture sessions tailored to mission outcomes for audiences ranging from data scientists and ML engineers to security teams and senior executives.
• Produce clear written deliverables, including evaluation reports, reference architectures, and integration guides.
• Support onboarding, troubleshooting, and integration through evaluations and initial deployments in partnership with Customer Success.