Senior Solutions Architect – Agentic AI, Safety and Security

🔥 1 hour ago

🏄 California, Texas – Remote

🏄 California – Remote 🤠 Texas – Remote

💵 $184k - $287.5k / year

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

🦅 H1B Visa Sponsor

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👻 Ghost score 1%

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Lead strategic agentic AI partner engagements from discovery and architecture through PoC, production readiness, rollout, and scale • Build enterprise-grade agentic AI systems with multi-agent workflows, tool-using agents, RAG, planning, memory, evaluation, guardrails, policy enforcement, and failure containment • Partner with security ISVs to integrate NVIDIA models into detection and response products • Architect secure and confidential AI deployments using NVIDIA Confidential Computing, GPU attestation, KMS integration, protected infrastructure, air-gapped patterns, and partner key-management workflows • Create PoCs, benchmarks, reference architectures, reusable blueprints, field guidance, and product feedback to move secure AI systems into production • Improve NVIDIA’s factory planning function

🎯 Requirements

• BS, MS, or PhD in Computer Science, Electrical Engineering, AI/ML, or equivalent experience • 8+ years 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 AI/LLM security, enterprise cybersecurity, trust and safety, confidential computing, secure AI infrastructure, model customization, post-training, or model evaluation • Strong Python and Linux skills • Experience with PyTorch, TensorFlow, or similar frameworks • Working knowledge of prompt injection, jailbreaks, tool-based data exfiltration, unsafe tool invocation, and model or skill supply-chain risk • Experience with NVIDIA AI software, LLM red-teaming, AI safety evaluation, adversarial testing, prompt-injection defense, policy enforcement, secure agent execution, confidential computing, or related technologies is advantageous

🏖️ Benefits

• Competitive salaries • Generous benefits package • Equity