Senior Technical Systems AI Architect – Agentic AI at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Supply Chain, Artificial Intelligence, TechnologyIndustries

Requirements

Bachelor’s degree in Computer Science or related field (or equivalent experience); Master’s or PhD preferred
12+ years of demonstrable experience in software architecture, systems design, or enterprise platform engineering
Deep expertise in architecting large-scale distributed systems with a focus on reliability, performance, and security
Demonstrated proficiency in AI/ML systems, generative AI, or agentic AI frameworks
Familiarity with large language models, RAG pipelines, orchestration frameworks (e.g., ReAct, LangChain, AutoGPT-like flows)
Experience integrating enterprise platforms (e.g., ERP, CRM, ITSM) with APIs, data connectors, or custom services
Hands-on development of AI agents, frameworks, and tooling, including setting architectural and coding standards
Solid understanding of security, governance, and compliance for AI in enterprise contexts
Excellent collaboration skills with the ability to influence cross-functional stakeholders and build trusted partnerships
Ability to communicate complex architectural concepts clearly and inspire confidence across technical and business audiences

Responsibilities

Define and architect AI agents for Supply Chain use cases, including frameworks for agent orchestration, multi-agent coordination, RAG, deployment, monitoring, and life cycle management
Be hands-on in quick proof of concepts development to demonstrate technical feasibility and implement enterprise grade Agentic Supply Chain solutions
Partner with Enterprise IT engineering, product, and research teams while evaluating LLMs, agentic frameworks, and NVIDIA’s own NeMo technologies
Ensure integration with enterprise IT and Operations data sources and Industry’s best Agentic platforms with strong content security focus
Drive architectural decisions across deployment models (on-prem, cloud, hybrid, containerized) to deliver scalable, reliable, and efficient solutions
Lead design reviews, develop technical documentation, and mentor engineers, data scientists and solution architects in principles of architecture and code development
Champion observability, monitoring, versioning, and telemetry to ensure trustworthy and auditable AI agents
Influence Supply Chain Operations adoption of the platform by partnering with stakeholders across IT, supply chain and serve as a reference adopter providing feedback to strengthen NVIDIA’s ecosystem

Skills

AI Agents

Agent Orchestration

Multi-Agent Coordination

RAG

LLMs

NeMo

Proof of Concepts

Enterprise Integration

Content Security

On-Prem Deployment

Cloud Deployment

Hybrid Deployment

Containerization

Observability

Monitoring

Telemetry

Systems Architecture

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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