Solution Architect – AI Governance

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🤖 Artificial Intelligence

🎮 Gaming

Artificial Intelligence • Gaming • Automotive

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

• Drive technical engagements with enterprise customers and partners, ensuring NVIDIA's security and governance solutions are seamlessly coordinated within their AI deployments. • Lead discovery sessions, build solution architectures, deliver impactful demonstrations, and craft detailed technical proposals. • Build positive relationships with engineering leads, security architects, DevSecOps teams, and compliance officers by providing clear and accurate information about NVIDIA's stack. • Translate NVIDIA’s platform capabilities into practical deployment requirements, addressing data residency, access control, audit logging, and regulatory needs. • Build and implement NVIDIA-backed deployment architectures tailored to customer requirements, combining components like OpenShell, NeMo Guardrails, NIM inference, and Confidential Computing. • Build reusable solution materials including reference architectures, integration guides, and demo environments to aid the broader EMEA field team. • Keep informed about EU AI Act regulations and align NVIDIA platform features with compliance inquiries from regulated enterprise purchasers. • Represent NVIDIA at technical workshops, developer days, and ecosystem events, providing deep platform insights and gathering valuable feedback for continuous improvement.

🎯 Requirements

• 3+ years in a customer-facing technical role such as solutions architect, pre-sales engineer, technical account management, or technical consultant. • B.Sc. or M.Sc. in Cybersecurity, Computer Science, or a related field, or an equivalent combination of relevant professional expertise and industry-recognized certifications. • Hands-on experience with AI and ML platform architecture, including inference pipelines, agent frameworks, and orchestration layers in real deployments. • Applied security awareness, with the ability to read and explain vulnerability dashboards and understand sandboxing, guardrails, access control, and audit logging. • Experience in enterprise compliance and governance conversations, having navigated concerns raised by legal or security teams and provided constructive answers. • Strong communication skills, capable of engaging with both framework engineers and high-level executives in a variety of technical discussions. • Proficiency in Python and familiarity with modern deployment tooling, including containers, Kubernetes, and cloud-native patterns.

🏖️ Benefits

• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Remote work options