Senior Architect, Agentic AI for Marketing

NVIDIA
Santa Clara, California
Workplace: HybridFull timeUSD 224,000 - 356,500 annuallyFunction: Marketing & GrowthExperience: 12+ yearsEducation: bachelorsSkills: ["Technical leadership","Hands-on engineering","Translate business needs","Communicate effectively","Ownership"]

Lead the architecture and delivery of agentic AI solutions powering NVIDIA Marketing capabilities such as personalization, content discovery, recommendations, internal copilots, and workflow automation. Translate marketing and business needs into practical agent architectures across goals, tools, retrieval, memory, evaluation, and production operating models. Evolve the agentic AI platform roadmap with orchestration, registries, observability, governance, and scalable deployment practices.

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FursaFursa
NVIDIA
NVIDIA
2 days ago

Senior Architect, Agentic AI for Marketing

✓ Verified Job

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Source: Company careers pageValidated by: Fursa AI
Last checked: 17 hours agoStatus: Live

Job Summary

Lead the architecture and delivery of agentic AI solutions powering NVIDIA Marketing capabilities such as personalization, content discovery, recommendations, internal copilots, and workflow automation. Translate marketing and business needs into practical agent architectures across goals, tools, retrieval, memory, evaluation, and production operating models. Evolve the agentic AI platform roadmap with orchestration, registries, observability, governance, and scalable deployment practices.
Location: Santa Clara, California
Workplace: Hybrid
Employment Type: Full time
Job Function: Marketing & Growth
Seniority: Mid level

Key Responsibilities

  • •Lead the architecture and delivery of agentic AI solutions for NVIDIA Marketing, including personalization, content discovery, campaign intelligence, recommendations, internal copilots, workflow automation, and customer-facing AI experiences.
  • •Translate marketing and business needs into agent architectures covering goals, tools, retrieval, memory, planning, human-in-the-loop workflows, evaluation criteria, and production operating models.
  • •Advance the agentic AI platform by building 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 agent registries, tool catalogs, permission models, memory/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, integrations with marketing platforms/analytics/chat experiences/content repositories, and establish production practices for evaluation, regression testing, observability, latency/cost/reliability/safety, access controls, auditability, fallback behavior, and incident response.

Pay and Benefits

Salary: USD 224,000 - 356,500 annually
Equity and Bonus:Equity

Key Requirements

  • •BS, MS, or PhD in Computer Science, AI/ML, Electrical Engineering, Data Science, or a related technical field (or equivalent experience).
  • •12+ years of experience in software engineering, AI/ML engineering, solutions architecture, applied AI, data platforms, or large-scale production systems.
  • •Experience building and deploying applications involving LLMs, generative AI, RAG, recommendation systems, conversational AI, or agentic AI.
  • •Strong programming skills in Python plus experience with APIs, Linux, distributed systems, containers, cloud-native infrastructure, and production debugging.
  • •Knowledge of agentic AI system design (tool use, orchestration, planning, memory, retrieval, evaluation, guardrails, human approval, failure handling) and integrations using MCP/function calling/API gateways.
Experience:12+ yearsAI/MLLLMsRecommendation systemsRAGMarketing technologyEnterprise data
Education:Bachelor's
Skills:Technical leadershipHands-on engineeringTranslate business needsCommunicate effectivelyOwnership
Tech Stack:PythonAPIsLinuxDistributed systemsContainersCloud-native infrastructureLLMsGenerative AIRetrieval-augmented generation (RAG)EmbeddingsConversational AIAgentic AIAgent-tool gatewaysMulti-agent orchestrationRecommendation APIsEmbedding pipelinesContextual retrievalModel adaptersCatalog intelligenceAI infrastructure

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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