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Senior Technical Systems AI Architect – Agentic AI

US, CA, Santa Clara
Full Time On-site

Summary

Job Description

Join the AI & Automation Supply Chain Business Transformations team in NVIDIA Operations to architect the future of agentic AI at scale. We Implement AI agents to transform employee productivity and accelerate business impact. As the AI Technical architect in Operations, you will design, evangelize, and implement the architectural foundations. You will guide the vision for codifying our decision logics, decision intelligence, AI agent design, build and deployment, orchestration, integration, security, and lifecycle management of AI agents, ensuring the AI Agents delivers value that are trusted, scalable, and innovative. This is a rare opportunity to define the AI agents for Supply Chain Operations inside one of the world’s most advanced AI companies. If you thrive at the intersection of Systems architecture, AI innovation, and Supply Chain transformation, join us and make your mark on the future of agentic AI.

What you will be doing:

  • 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.

What we need to see:

  • 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.

  • Demonstrate 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.

Ways to stand out from the crowd:

  • Hands-on experience with containerized deployments, Kubernetes, and hybrid cloud/on-prem environments.

  • Prototyping skills in Python with ability to build proof-of-concept agent workflows.

  • Experience with NVIDIA AI technologies such as NeMo, NeMo Guardrails, AIQ, or GPU-optimized inference stacks.

  • Track record of publishing technical papers, architecture patterns, or thought leadership in AI systems.

  • Knowledge of observability tools, telemetry dashboards, and evaluation frameworks for AI agent performance as well as experience solving real-world problems with AI in supply chain domain.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and creative people in the world working here! If you are driven by impact, passionate about enterprise AI, and inspired to shape the agentic AI at scale for NVIDIA’s Supply Chain Operations, we want to hear from you. Apply today!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 160,000 USD - 253,000 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 19, 2025.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

About Nvidia

Nvidia

NVIDIA is one of the most influential technology companies in the world, powering the modern era of artificial intelligence, high-performance computing, graphics, and autonomous systems. Originally known for its leadership in gaming GPUs, NVIDIA has evolved into the backbone of AI infrastructure, designing the chips, software, and systems that train and deploy large-scale AI models used across industries from healthcare and robotics to autonomous vehicles and scientific computing.

For job seekers, NVIDIA offers opportunities at the forefront of deep tech, spanning software engineering, AI research, systems engineering, hardware design, networking, robotics, and developer tools. A major focus of its work is the CUDA software platform and AI ecosystem, which enables developers to program GPUs at massive scale and has become foundational to modern machine learning and data center computing. This makes NVIDIA especially attractive to engineers, researchers, and technologists who want to work directly on the infrastructure powering today’s AI revolution.

Unlike traditional hardware companies, NVIDIA operates as a full-stack computing platform company, integrating silicon, systems, and software into a unified ecosystem. Employees may work on everything from GPU architecture and data center systems to AI frameworks, simulation platforms like Omniverse, and autonomous vehicle technology through the DRIVE platform. This breadth allows teams to operate at the intersection of research and production-scale deployment, with direct impact on global computing infrastructure.

As demand for AI, accelerated computing, and autonomous systems continues to grow rapidly, NVIDIA remains one of the most important employers in technology and advanced engineering. For professionals seeking a high-impact career at the center of AI development—where breakthroughs quickly translate into real-world systems at global scale—NVIDIA stands out as one of the most dynamic and sought-after destinations in the industry.

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