Architect, Agentic AI Platforms for Marketing

NVIDIA Corporation; Santa Clara (CA); On-site; USD 224,000 - 357,000; Full time

Benefits offered by this job

Equity

Job summary

NVIDIA Corporation is seeking a Senior Architect to shape the next generation of Agentic AI platforms for NVIDIA Marketing. You will translate marketing opportunities into reliable AI agents and reusable platform capabilities, leading architecture from discovery through prototyping to production.

Collaborating with engineers, you will advance capabilities such as agent tool gateways, multi-agent orchestration, contextual retrieval, and production AI infrastructure to deliver scalable, observable

Qualifications

• BS/MS/PhD in Computer Science, AI/ML, Electrical Engineering, Data Science, or equivalent experience.
• 12+ years of experience in software/AI engineering, architecture, or large-scale production systems.
• Experience with LLMs, generative AI, RAG, recommender systems, or agentic AI.
• Strong programming in Python, APIs, Linux, distributed systems, containers, cloud-native infrastructure, and production debugging.

Responsibilities

• Lead architecture and delivery of Agentic AI solutions for NVIDIA Marketing, including personalization, content discovery, and recommendations.
• Translate business needs into practical agent architectures with memory, retrieval, planning, and production operating models.
• Shape platform roadmap, tool gateways, agent orchestration, and production AI infrastructure.

Skills

Python

APIs

Linux

Distributed systems

Docker

Kubernetes

CI/CD

Production debugging

Agentic AI design

Education

BS/MS/PhD in CS/AI

Tools

Kubernetes

Job description

NVIDIA Corporation is seeking a Senior Architect to shape the next generation of Agentic AI platforms for NVIDIA Marketing. You will translate marketing opportunities into reliable AI agents and reusable platform capabilities, leading architecture from discovery through prototyping to production.

Collaborating with engineers, you will advance capabilities such as agent tool gateways, multi-agent orchestration, contextual retrieval, and production AI infrastructure to deliver scalable, observable