AI Solutions Architect- Federal

HiddenLayer

1d • Remote

About The Position

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

• 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, including model formats and inference, LLM APIs, retrieval and agentic patterns, and frameworks such as PyTorch, Hugging Face, and ONNX.
• Hands-on with Docker, Kubernetes, and Helm, and know how to move images and artifacts into restricted or fully disconnected environments.
• Understand how models move from data to production (MLOps and CI/CD) and where security belongs in that pipeline.
• Working security literacy, including adversarial machine learning concepts and common AI attack classes, and can discuss them credibly without overclaiming.
• Operated inside federal missions, not just sold to them, and can speak to mission outcomes with specificity.
• Comfortable on stage and on camera: live demos, whiteboard sessions, conference talks, and executive briefings.
• Demonstrably curious. Can point to things taught yourself recently, whether side projects, home labs, publications, open-source contributions, or entirely new domains pursued on your own.
• Can travel as needed to support customer engagements and industry events.

Nice To Haves

• Secured AI/ML systems in production or supported AI programs operating in classified environments.
• Experience with model file formats and AI supply chain concerns, including ONNX, SafeTensors, GGUF, and pickle-based serialization.
• Red-teamed LLM applications or worked with AI security and evaluation tooling.
• Hold relevant certifications (Kubernetes, AWS, Azure, CISSP, or Security+) or have delivered under federal compliance regimes.
• Public work such as GitHub repositories, Hugging Face artifacts, conference talks, or technical writing.

Responsibilities

• 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.
• Derive scope from chaos, turning loosely defined mission problems into concrete evaluation plans with measurable success criteria.
• 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.
• 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.
• 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.
• Maintain deep currency in adversarial machine learning and the evolving AI threat landscape, and raise the technical bar of everyone around you.

Benefits

• Generous stipend for home office setup
• Annual upgrades for home office workspace
• Monthly stipend for internet/phone expenses
• Unlimited and flexible time off
• 15 paid company holidays
• Dedicated L&D fund for training, conferences, certifications and industry events

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed