Senior Solutions Architect, Agent Infrastructure and Security

This is a fully remote position, open to applicants in California.

📋 Description

• Act as a trusted advisor who comprehends complex or large-scale workloads and aligns them with NVIDIA’s technology stack to achieve quantifiable results.

• Collaborate with customers and partners to design advanced, scalable architectures, defining the technical direction, integration milestones, and deployment strategies.

• Architect, validate, and support solutions through hands-on involvement with intricate technical subjects.

• Lead technical initiatives, assist customers and partners in resolving complex issues, and advocate for their technical requirements.

• Collaborate with engineering and product teams to ensure the successful implementation and ongoing enhancement of NVIDIA solutions.

• Manage technical engagements for agentic AI workloads from the initial architectural review to production hardening.

• Oversee the security and infrastructure narrative for agentic AI deployments, encompassing sandboxing, policy enforcement, credential management, and network isolation.

• Develop and showcase reference architectures for secure and scalable agentic AI infrastructure on Kubernetes.

⛳️ Requirements

• Bachelor’s or Master’s degree or equivalent experience in Computer Science, Engineering, or a related discipline.

• Over 8 years of professional experience in fields including software/hardware engineering, developer relations, technical partnerships, solutions architecture, or product management.

• 3-5 years of direct, hands-on experience in AI security.

• Extensive technical knowledge in agentic AI and security, with a proven history of facilitating product integrations and contributing to software or hardware platforms, systems, and libraries.

• Capability to articulate complex technical concepts clearly to both technical and non-technical audiences, ranging from engineers to C-level executives.

• Strong problem-solving abilities, intellectual curiosity, and a commitment to aiding customers in achieving success.

• Demonstrated success in balancing the needs of customers and partners while influencing complex product decisions through positive relationships.

• Solid understanding of enterprise security principles: identity, authorization, network security, secrets management, and threat modeling.

• In-depth knowledge of secure networking, including mTLS, PKI, service mesh, and egress proxy patterns.

• Experience with formal methods, policy verification, or OCSF / structured security-event frameworks.

🏝️ Benefits

• Equity

• Benefits