AI Solutions Architect- Federal
AI summary of the role
Pre-sales technical lead for federal AI security pursuits, owning opportunities from discovery through proof of value and technical win.
What you’ll do
- Lead discovery workshops and scope proof-of-value engagements for federal customers across IC, DoD/DoW, DHS, and civilian agencies.
- Architect and deploy HiddenLayer platform in SaaS and fully airgapped environments, including container images, Helm charts, and artifacts for disconnected networks.
- Build mission-focused demos and proof-of-concept AI applications (computer vision, LLM, agentic) and integrate HiddenLayer SDKs/APIs.
- Deliver live demos and architecture sessions to technical and executive audiences; produce evaluation reports and reference architectures.
What you’ll bring
- 5+ years in solutions architecture, solutions engineering, or applied AI engineering with direct federal customer support (IC, DoD/DoW, DHS, civilian).
- Hands-on Python and modern AI stack: PyTorch, Hugging Face, ONNX, LLM APIs, retrieval and agentic patterns.
- Hands-on Docker, Kubernetes, Helm; experience moving images/artifacts into restricted or disconnected environments.
- Security literacy in adversarial ML and common AI attack classes; able to discuss credibly.
Technologies
Python · PyTorch · Hugging Face · ONNX · Docker · Kubernetes · Helm · AWS · VMware · Proxmox · OpenShift · SDK
About HiddenLayer
Secures enterprise AI models, agents, and ML pipelines against adversarial attacks with discovery, supply-chain scanning, attack simulation, and runtime defense.
Series A · 100–200 people
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