Springfield, MA14 days ago
Background in security and governance: prompt injection defense, output filtering, data loss prevention, model risk management, NIST AI RMF, ISO/IEC 42001, and EU AI Act readiness; familiarity with the OWASP LLM Top 10, adversarial ML attack taxonomies (MITRE ATLAS), and red-teaming / evaluation techniques for LLMs; experience translating these frameworks into practical control designs rather than checkbox compliance. Architect sovereign / on-premise AI solutions using stacks such as NVIDIA AI Enterprise (NIM, NeMo, Blueprints), Dell AI Factory, HPE Private Cloud AI, Red Hat OpenShift AI, Run:ai, and open-source model serving (vLLM, TGI, Ollama) - for clients with data residency, regulatory, IP, or air-gapped requirements.