Senior Solutions Architect – Agentic AI, Safety and Security

This is a fully remote position, open to applicants in California, +1 more state.

📋 Description

• Spearhead strategic partnerships for agentic AI from initial discovery and architectural design to proof of concept, production readiness, implementation, and scaling.

• Develop enterprise-level agentic AI systems featuring multi-agent workflows, tool-utilizing agents, retrieval-augmented generation (RAG), planning, memory management, evaluation, guardrails, policy enforcement, and failure containment mechanisms.

• Collaborate with security independent software vendors (ISVs) to incorporate NVIDIA models into their detection and response solutions.

• Design secure and confidential AI deployments leveraging NVIDIA Confidential Computing, GPU attestation, key management system (KMS) integration, protected infrastructure, air-gapped configurations, and partner key-management workflows.

• Generate proofs of concept, performance benchmarks, reference architectures, reusable blueprints, field guidance, and product insights to facilitate the transition of secure AI systems into production.

• Enhance NVIDIA’s factory planning capabilities.

⛳️ Requirements

• Bachelor’s, Master’s, or PhD in Computer Science, Electrical Engineering, AI/ML, or a related field.

• A minimum of 8 years of experience in engineering, solutions architecture, applied machine learning, enterprise software, or technical deployment.

• Proven track record of leading AI, ML, distributed systems, or enterprise software initiatives from prototype through to production.

• Practical experience in developing large language models (LLMs), generative AI, RAG, or agentic AI applications in production or similarly realistic environments.

• In-depth knowledge of AI/LLM security, enterprise cybersecurity, trust and safety, confidential computing, secure AI infrastructure, model customization, post-training, or model evaluation.

• Proficient in Python and Linux.

• Familiarity with PyTorch, TensorFlow, or comparable frameworks.

• Understanding of prompt injection, jailbreaks, tool-based data exfiltration, unsafe tool invocation, and risks associated with model or skill supply chains.

• Experience with NVIDIA AI software, LLM red-teaming, AI safety assessments, adversarial testing, prompt-injection defenses, policy enforcement, secure agent execution, confidential computing, or similar technologies is a plus.

🏝️ Benefits

• Competitive salaries.

• Generous benefits package.

• Equity.