AI Solutions Architect- Federal
HiddenLayer2 months ago
Responsibilities
- Lead technical discovery workshops and translate federal mission needs into scoped proof-of-value engagements with measurable success criteria.
- Architect and deploy the HiddenLayer platform in SaaS, cloud, on-premises, and fully disconnected or airgapped environments.
- Package container images, Helm charts, and artifacts for restricted networks and administer Kubernetes-based deployments.
- Build proof-of-concept AI applications and integrate HiddenLayer SDKs and APIs for model scanning, runtime detection, and response.
- Advise customers on securing models, AI applications, data pipelines, and supporting infrastructure using relevant AI security frameworks.
- Deliver demonstrations, architecture sessions, written evaluation reports, reference architectures, integration guides, and executive briefings.
- Support onboarding, troubleshooting, initial deployments, conferences, webinars, and feedback to Product, Research, and Engineering.
Requirements
- At least 5 years of experience in solutions architecture, solutions engineering, applied AI engineering, or a similar customer-facing technical role.
- Direct experience supporting federal customers across the Intelligence Community, DoD/DoW, DHS, or civilian agencies.
- Hands-on AI development experience with fluency in Python and familiarity with model formats, inference, LLM APIs, retrieval, agentic patterns, PyTorch, Hugging Face, and ONNX.
- Hands-on experience with Docker, Kubernetes, Helm, private registries, and moving images and artifacts into restricted or disconnected environments.
- Understanding of MLOps, CI/CD, AI security, adversarial machine learning, and common AI attack classes.
- Strong presentation and communication skills for live demonstrations, whiteboarding, conference talks, and executive briefings.
- Active Top Secret clearance or TS eligibility is strongly preferred.
- Preferred qualifications include production AI/ML security experience, classified-environment experience, familiarity with SafeTensors, GGUF, and pickle serialization, LLM red-teaming, relevant Kubernetes/AWS/Azure/CISSP/Security+ certifications, and public technical work.
Benefits
- Fully remote work with a home-office stipend, annual workspace upgrades, and a monthly internet/phone stipend.
- Unlimited flexible time off for salaried employees plus 15 paid company holidays.
- Learning and development fund for training, conferences, certifications, and industry events.
- Travel as needed to support customer engagements and industry events; the DC Metro Area is preferred.
- The company is an equal opportunity and affirmative action employer.
Tech Stack
Categories
Solutions Engineering
About HiddenLayer
HiddenLayer builds an AI security platform that protects generative, predictive, and agentic systems from threats such as prompt injection, model theft, and data poisoning. Its AISec Platform spans model scanning, runtime detection and response, posture management, supply‑chain safeguards, and automated red teaming for enterprise and public‑sector deployments. Founded in 2022 and headquartered in Austin, Texas, the company is privately held and backed by investors including Microsoft’s M12, IBM Ventures, and Capital One Ventures.