Asks for

The ad says“You have working security literacy, including adversarial machine learning concepts and common AI attack classes, and you can discuss them credibly without overclaiming.”
The ad says“You understand how models move from data to production (MLOps and CI/CD) and where security belongs in that pipeline.”
The ad says“You are hands-on with Docker, Kubernetes, and Helm, and you know how to move images and artifacts into restricted or fully disconnected environments.”
The ad says“You are hands-on with Docker, Kubernetes, and Helm, and you know how to move images and artifacts into restricted or fully disconnected environments.”
The ad says“You build with AI, hands on. You are 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.”
The ad says“You are hands-on with Docker, Kubernetes, and Helm, and you know how to move images and artifacts into restricted or fully disconnected environments.”
The ad says“You build with AI, hands on. You are 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.”
The ad says“You understand how models move from data to production (MLOps and CI/CD) and where security belongs in that pipeline.”
The ad says“You build with AI, hands on. You are 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.”
The ad says“You build with AI, hands on. You are 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.”
The ad says“You build with AI, hands on. You are 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.”

AI Solutions Architect- Federal

Location- Remote (US), DC Metro Area Preferred

Clearance- Active Top Secret or TS eligible strongly preferred

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.

WHO WE ARE:

HiddenLayer protects the world’s most valuable technologies from adversarial AI attacks. We were founded by AI professionals and security specialists with first-hand experience of how insidious adversarial AI attacks can be to detect and defend against. Determined to prove that these attacks were preventable, the team developed a unique, patent-pending, productized solution to support organizations in accelerating their adoption of AI securely.

Our dedication to innovation has been recognized by prestigious awards such as RSA's Innovation Sandbox Winner, CB Insights AI 100, CyberTech 100, and SC's Most Promising Early-Stage Start-up.

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.

Showcase learnings and best practices

- 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.

WHO YOU ARE:

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.
You build with AI, hands on. You are 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.
You are hands-on with Docker, Kubernetes, and Helm, and you know how to move images and artifacts into restricted or fully disconnected environments.
You understand how models move from data to production (MLOps and CI/CD) and where security belongs in that pipeline.
You have working security literacy, including adversarial machine learning concepts and common AI attack classes, and you can discuss them credibly without overclaiming.
You have operated inside federal missions, not just sold to them, and you can speak to mission outcomes with specificity.
You are comfortable on stage and on camera: live demos, whiteboard sessions, conference talks, and executive briefings.
You are demonstrably curious. You can point to things you taught yourself recently, whether side projects, home labs, publications, open-source contributions, or entirely new domains you pursued on your own.
You can travel as needed to support customer engagements and industry events.

BONUS:

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

WHY HIDDENLAYER?

We just raised $100M in Series B funding led by Delta-v Capital, with backing from Morgan Stanley, Microsoft's venture arm, Booz Allen Hamilton, and others. It's a validation of what we've built: 10x revenue growth, 50+ new enterprise customers, and deployments across defense, finance, and the world's largest AI platforms. This funding goes straight into expanding our platform and GTM capabilities, and into growing our team globally.

Attracting and retaining the very best people is our #1 priority. That’s why we offer our team best-in-class benefits, including:

Fully Remote: We are a completely remote global team. Though we’re distributed, we are intentional about getting the team together a couple of times a year. We offer a generous stipend for your home office setup, annual upgrades to ensure you have a comfortable workspace and a monthly stipend for internet/phone expenses.
Flexible Time Off: Enjoy unlimited and flexible time off for all salaried employees, in addition to 15 paid company holidays.
Commitment to Learning and Development: We support personal growth and education through a dedicated L&D fund that can be used for training, conferences, certifications and industry events.
Diversity, Equity, and Inclusion: We are committed to building a diverse team with individuals from various backgrounds, experiences, abilities, and perspectives, and we are proud to be an equal opportunity employer.

To learn more about HiddenLayer visit HiddenLayer and follow us on LinkedIn or Twitter.

HiddenLayer is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, age, marital status, political affiliation, sexual orientation, gender identity, genetic information, disability or protected veteran status. We are committed to providing a workplace free of any discrimination or harassment.

Asks for

Values