> Markdown version of [/jobs/ext/2702372-solutions-architect-agentic-ai-safety-and-security-organization](https://www.wearedevelopers.com/jobs/ext/2702372-solutions-architect-agentic-ai-safety-and-security-organization). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Solutions Architect, Agentic AI - Safety and Security Organization - **Company:** NVIDIA Corporation - **Location:** United States - **Experience:** Expert - **Salary:** $184,000.0 - $287,500.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Cyber Security, Computer Literacy, Linux, Distributed Systems, Internet Security, Python (Programming Language), Machine Learning, Software Prototyping, Tensorflow, Software Safety, AI Infrastructure, Privacy Controls, Scripting, Graphics Processing Unit (GPU), Enterprise Software Applications, Pytorch, Large Language Models, Model Validation, Generative AI, Information Technology, TensorRT, Nim (Programming Language) - **Published:** September 4, 2026 - **Apply:** https://www.careerbuilder.com/job-details/senior-solutions-architect-agentic-ai-safety-and-security-ca--16a7f495-62a9-4208-8bfc-1ef6efab1ee8 ## About the Role * 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 one or more areas such as 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, and working knowledge of risks such as prompt injection, jailbreaks, tool-based data exfiltration, unsafe tool invocation, and model or skill supply-chain risk. Ways to stand out from the crowd: * Experience with NVIDIA AI software such as NIM, NeMo Framework, NeMo Retriever, NeMo Guardrails, NeMo Agent Toolkit, Dynamo, Nemotron, Nemotron Safety models, Triton, TensorRT-LLM, or NIM Operator. * Experience with LLM red-teaming, AI safety evaluation, adversarial testing, prompt-injection defense, policy enforcement, Garak, NeMo Auditor, or release-gating evaluation benchmarks. * Experience with OpenShell, agent harnesses, sandboxed execution, secure tool invocation, agent runtime security, AI/software supply-chain security, model or skill signing, provenance, attestation, VEX, or secure model registries. * Experience building post-training pipelines or GPU-accelerated safety and security workflows, including reasoning, tool use, domain adaptation, safety alignment, PII/NER detection, content-safety models, TensorRT optimization, quantization, workshops, architecture reviews, whitepapers, or reference architectures. * Experience with confidential computing, including GPU confidential computing, remote attestation, Confidential Containers, enterprise KMS, air-gapped deployments, AMD SEV-SNP, or Intel TDX., Artificial Intelligence (AI), Auditing, Automation, Benchmarking, Blueprints, Channel Strategies, Computer Science, Computer Security, Computer Skills, Computer Systems, Distributed Computing, Electrical Engineering, Enterprise Applications, Enterprise Architecture, Enterprise Protection, GPU (Graphics Processing Unit), High Tech Industry, Injections, Intel Product Family, Internet Security, Leadership, Linux Operating System, Memory Hardware, Privacy Controls, Production Planning, Python Programming/Scripting Language, Query Analysis, Risk, Software Prototyping, Testing, White Papers ## Related Videos - [Tour de Force: Open-Source LLM Inference Optimization from Simple to Sophisticated](https://www.wearedevelopers.com/videos/100099-tour-de-force-open-source-llm-inference-optimization-from-simple-to-sophisticated) - [Nemotron: NVIDIA's open model strategy for developers](https://www.wearedevelopers.com/videos/100064-nemotron-nvidia-s-open-model-strategy-for-developers) - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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