Senior Architect, Agentic AI for Marketing
NVIDIA
- Location
- US CA Santa Clara
- Work model
- On-Site
- Level
- Senior
- H-1B history
- 394 approvals (FY2023)
- Posted
- Aug 25, 2026
About this role
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We’re looking for a Senior Architect to help shape the next generation of Agentic AI platforms for NVIDIA Marketing . In this role, you’ll combine technical leadership with hands-on engineering. You’ll translate marketing opportunities—including personalization, customer journeys, content intelligence, recommendations, campaign operations, and field enablement—into reliable AI agents and reusable platform capabilities. You’ll join a team with strong foundations in recommendation systems, retrieval-augmented generation (RAG), embedding-based retrieval, model evaluation, conversational AI, model adaptation, and production infrastructure. Your role will be to provide senior technical architecture, business translation, and platform leadership, helping the team evolve from high-value AI applications into a durable agentic AI ecosystem for Marketing. Our team works at the intersection of applied AI, agentic systems, marketing technology, enterprise data, and production platforms . You’ll have the opportunity to lead complex initiatives from early discovery through architecture, prototyping, evaluation, deployment, observability, governance, and scale. What You’ll Be Doing: Lead the architecture and delivery of Agentic AI solutions that support NVIDIA Marketing, including personalization, content discovery, campaign intelligence, recommendations, internal copilots, workflow automation, and customer-facing AI experiences. Translate business and marketing needs into practical agent architectures, including goals, tools, retrieval, memory, planning, human-in-the-loop workflows, evaluation criteria, and production operating models. Advance NVIDIA Marketing’s agentic AI platform by building on capabilities such as agent-tool gateways, multi-agent orchestration, conversational data assistants, recommendation APIs, embedding pipelines, contextual retrieval, model adapters, catalog intelligence, and production AI infrastructure. Shape the platform roadmap across capabilities such as agent registries, tool catalogs, permission models, memory and state services, evaluation frameworks, observability, reusable agent patterns, and lifecycle management. Partner with engineers to design reliable interfaces for agent invocation, tool execution, response formats, memory, state management, and integrations with marketing platforms, analytics systems, chat experiences, and content repositories. Establish production practices for agentic systems across evaluation, regression testing, observability, latency, cost, reliability, safety, access controls, auditability, fallback behavior, and incident response. Guide technical tradeoffs across model quality, retrieval precision, inference cost, throughput, latency, personalization, data freshness, privacy, security, and business impact. Build prototypes, reference architectures, technical blueprints, and reusable components that help move promising ideas into scalable production systems. What We Need to See: A BS, MS, or PhD in Computer Science, AI/ML, Electrical Engineering, Data Science, a related technical field, or equivalent experience. 12+ years of experience in one or more areas such as software engineering, AI/ML engineering, solutions architecture, applied AI, data platforms, or