AI Solutions Architect- Federal
New
H
HiddenLayerAI Security
Location: Remote- USFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 5+ years in solutions architecture, solutions engineering, applied AI engineering, or a similar customer-facing technical role
- Required Skills
- DockerPythonKubernetesMachine LearningPyTorchCI/CDHelm
Requirements
- 5+ years of experience in solutions architecture, solutions engineering, or applied AI engineering.
- Direct experience supporting federal customers across IC, DoD/DoW, DHS, or civilian agencies.
- Fluency in Python and experience with PyTorch, Hugging Face, and ONNX.
- Strong understanding of LLM APIs, retrieval, and agentic patterns.
- Hands-on experience with Docker, Kubernetes, and Helm in restricted environments.
- Understanding of MLOps and CI/CD pipelines.
- Security literacy regarding adversarial machine learning and common AI attack classes.
- Experience presenting technical content via demos, whiteboards, and briefings.
Responsibilities
- Lead discovery workshops to understand customer missions, AI initiatives, architectures, and security requirements.
- Translate mission needs into scoped proof-of-value engagements with success criteria and timelines.
- Architect and deploy the platform in SaaS and fully airgapped environments.
- Build mission-focused demos and POC AI applications using Python, LLMs, and agentic patterns.
- Integrate SDKs and APIs into CI/CD pipelines for runtime detection and response.
- Deliver live demonstrations and architecture sessions for diverse audiences from data scientists to executives.
- Advise customers on AI security frameworks like MITRE ATLAS, OWASP Top 10 for LLM, and NIST AI RMF.
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