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HiddenLayer

AI Solutions Architect- Federal

RemoteUnited States only
Published
Experience
Senior
Salary not disclosed
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Open to US only. Set where you work from to check your eligibility.

No BS summary

Pre-sales technical lead for HiddenLayer's AI security platform, supporting US federal agencies (IC, DoD, DHS, civilian). Needs 5+ years in solutions architecture/engineering with federal customers, hands-on Python, Docker/Kubernetes/Helm, and the AI/ML stack. US-based remote; active Top Secret clearance strongly preferred.

Core skills

PythonKubernetes

Required skills

DockerHelmPyTorchHugging FaceONNXCI/CD

Optional skills

ONNXSafeTensorsGGUFpickle-based serializationred-teaming LLM applicationsAI security and evaluation toolingKubernetes certificationsAWS

What you'll do

  • 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
  • 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 and on-premises virtualization platforms
  • Build mission-focused demonstrations and proof-of-concept AI applications (computer vision, LLM, and agentic workloads) and integrate HiddenLayer SDKs and APIs
  • Advise customers on securing models, AI applications, data pipelines, and supporting infrastructure, aligned to MITRE ATLAS, OWASP Top 10 for LLM Applications, and NIST AI Risk Management Framework
  • Deliver live demonstrations and architecture sessions tailored to mission outcomes
  • 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
  • Represent HiddenLayer at industry conferences, government engagements, webinars, and technical events
  • Convert field learnings into reusable demos, internal enablement, and structured feedback to Product, Research, and Engineering

What they require

  • 5+ years in solutions architecture, solutions engineering, applied AI engineering, or a similar customer-facing technical role, including direct support of federal customers across the IC, the DoD/DoW, DHS, or civilian agencies
  • Fluent in Python and comfortable across the modern AI stack (model formats and inference, LLM APIs, retrieval and agentic patterns, PyTorch, Hugging Face, ONNX)
  • Hands-on with Docker, Kubernetes, and Helm; able to move images and artifacts into restricted or fully disconnected environments
  • Understanding of MLOps and CI/CD and where security belongs in that pipeline
  • Working security literacy, including adversarial machine learning concepts and common AI attack classes
  • Operated inside federal missions, not just sold to them
  • Comfortable on stage and on camera: live demos, whiteboard sessions, conference talks, and executive briefings
  • Active Top Secret or TS eligible strongly preferred
  • Can travel as needed to support customer engagements and industry events

Benefits

  • Fully remote global team with home office setup stipend, annual upgrades, and monthly internet/phone stipend
  • Unlimited flexible time off plus 15 paid company holidays
  • Dedicated L&D fund for training, conferences, certifications, and industry events
  • Commitment to diversity, equity, and inclusion; equal opportunity employer

HiddenLayer protects the world’s most valuable technologies from adversarial AI attacks. Founded by AI professionals and security specialists, the company develops a patent-pending productized solution to help organizations adopt AI securely.

CybersecurityStartup
Salary not disclosed