Senior Architect, Agentic AI for Marketing

NVIDIA is a technology company focused on accelerated computing and artificial intelligence. The company is seeking a Senior Architect to lead the architecture and delivery of agentic AI solutions for Marketing, translating business needs into reliable AI agents and reusable platform capabilities. The role covers discovery, prototyping, evaluation, deployment, observability, governance, and scaling of AI systems.

Responsibilities:

• 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