Senior Solutions Architect, Agent Infrastructure and Security

NVIDIA

. Serve as a trusted advisor who understands complex or large-scale workloads and maps them to NVIDIA’s technology stack to achieve measurable outcomes.

Posted 11/10/2026full-timeRemote • California • United StatesSenior💰 $184,000 - $356,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates deep technical expertise in agentic AI and security, with a strong focus on designing and deploying scalable architectures. Proven ability to communicate complex technical concepts effectively to diverse audiences while driving successful customer engagements and product integrations.

Highest-signal resume keywords

Agentic AI ExpertiseAI Security ExperienceSolutions ArchitectureEnterprise Security FundamentalsTechnical Communication Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Solutions ArchitectureAI SecurityTechnical IntegrationProblem-SolvingSecurity FundamentalsThreat ModelingMTLSPKIService MeshEgress Proxy Patterns

Soft Skills

Communication SkillsIntellectual CuriosityCustomer Success OrientationRelationship Management

Tools & Technologies

KubernetesSecurity-Event FrameworksPolicy Verification

Industry Keywords

Software EngineeringHardware EngineeringDeveloper RelationsTechnical PartnershipsProduct Management

Tech Stack

Tools & technologies

Kubernetes

About the role

Key responsibilities & impact

Serve as a trusted advisor who understands complex or large-scale workloads and maps them to NVIDIA’s technology stack to achieve measurable outcomes.
Co-design advanced, scalable architectures with customers and partners, defining technical direction, integration achievements, and deployment plans.
Design, validate, and support solutions through hands-on engagement with deep technical topics.
Lead technical engagements, help customers and partners resolve sophisticated issues, and advocate for their technical needs.
Partner with engineering and product teams to ensure successful deployment and continuous improvement of NVIDIA solutions.
Drive technical engagements for agentic AI workloads from initial architecture review through production hardening.
Own the security and infrastructure narrative for agentic AI deployments, including sandboxing, policy enforcement, credential management, and network isolation.
Build and demonstrate reference architectures for secure, scalable agentic AI infrastructure on Kubernetes.

Requirements

What you’ll need

Bachelor's or Master's degree or equivalent experience in Computer Science, Engineering, or a related field.
8+ years of professional experience in industry backgrounds spanning software/hardware engineering, developer relations, technical partnerships, solutions architecture, or product management.
3-5+ years of direct, hands-on experience in AI security.
Deep technical expertise in agentic AI and security, with a track record of driving product integrations and contributing to software or hardware platforms, systems, and libraries.
Ability to communicate sophisticated technical ideas clearly to technical and non-technical audiences, from engineers to C-level executives.
Strong problem-solving skills, intellectual curiosity, and dedication to helping customers succeed.
Proven success balancing customer and partner needs with driving complex product decisions through positive relationships.
Solid grounding in enterprise security fundamentals: identity, authz, network security, secrets management, and threat modeling.
Secure networking depth in mTLS, PKI, service mesh, and egress proxy patterns.
Background in formal methods, policy verification, or OCSF / structured security-event frameworks.

Benefits

Comp & perks

Equity
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