Senior Solutions Architect, Agentic AI - Safety and Security

What you'll do

• Lead strategic partner engagements from initial discovery and architecture through production rollout and scaling.
• Build enterprise-grade agentic AI systems featuring multi-agent workflows, RAG, tool use, and policy enforcement.
• Integrate NVIDIA models into cybersecurity products for threat triage, investigation, and automated remediation.
• Architect secure and confidential AI deployments using GPU attestation, KMS integration, and protected infrastructure.
• Develop technical assets including PoCs, benchmarks, reference architectures, and reusable blueprints for partners.
• Implement safety measures such as guardrails, failure containment, and PII handling in production environments.
• Design secure execution environments to mitigate risks like prompt injection and unauthorized tool invocation.

What we're looking for

• BS, MS, or PhD in Computer Science, Electrical Engineering, AI/ML, or equivalent experience.
• 8+ years of experience in engineering, solutions architecture, applied ML, enterprise software, or technical deployment.
• Experience leading AI, ML, distributed systems, or enterprise software projects from prototype to production.
• Hands-on experience building LLM, generative AI, RAG, or agentic AI applications in production or production-like environments.
• Depth in areas such as AI/LLM security, enterprise cybersecurity, trust and safety, confidential computing, or secure AI infrastructure.
• Strong Python and Linux skills with experience using PyTorch, TensorFlow, or similar frameworks.
• Working knowledge of risks including prompt injection, jailbreaks, tool-based data exfiltration, and model supply-chain risk.
• Experience with NVIDIA AI software, LLM red-teaming, confidential computing, or post-training pipelines (preferred).