Senior Architect, Agentic AI for Marketing

This is a fully remote position, open to applicants in California.

📋 Description

• Oversee the design and implementation of Agentic AI solutions that support NVIDIA Marketing, which includes personalization, content discovery, campaign intelligence, recommendations, internal copilots, workflow automation, and customer-facing AI interactions.

• Convert business and marketing requirements into actionable agent architectures that encompass objectives, tools, retrieval processes, memory, planning, human-in-the-loop workflows, evaluation criteria, and production operational models.

• Enhance NVIDIA Marketing’s agentic AI platform through agent-tool gateways, multi-agent orchestration, conversational data assistants, recommendation APIs, embedding pipelines, contextual retrieval, model adapters, catalog intelligence, and production AI infrastructure.

• Define the platform roadmap for agent registries, tool catalogs, permission models, memory and state services, evaluation frameworks, observability, reusable agent patterns, and lifecycle management.

• Collaborate with engineers to create reliable interfaces for agent invocation, tool execution, response formats, memory, state management, and integration with marketing platforms, analytics systems, chat experiences, and content repositories.

• Implement production practices for evaluation, regression testing, observability, latency, cost, reliability, safety, access controls, auditability, fallback behavior, and incident response.

• Navigate technical trade-offs related to model quality, retrieval precision, inference cost, throughput, latency, personalization, data freshness, privacy, security, and business impact.

• Develop prototypes, reference architectures, technical blueprints, and reusable components for scalable production systems.

⛳️ Requirements

• 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 software engineering, AI/ML engineering, solutions architecture, applied AI, data platforms, or large-scale production systems.

• Proven experience in building and deploying applications that involve LLMs, generative AI, RAG, recommendation systems, conversational AI, or agentic AI.

• Proficient programming skills in Python.

• Familiarity with APIs, Linux environments, distributed systems, containers, cloud-native infrastructure, and production debugging.

• Knowledge of agentic AI system design, which includes tool utilization, orchestration, planning, memory, retrieval, evaluation, guardrails, human approval, and failure management.

• Experience in designing integrations between AI agents and enterprise tools using MCP, function calling, API gateways, or similar interoperability frameworks.

• Background in developing conversational AI experiences based on structured or semi-structured data.

• Experience with production AI or software infrastructure, including model serving, Kubernetes, Docker, CI/CD, observability, monitoring, health checks, performance testing, or cost optimization.

• Proven track record of ownership over technical solutions spanning architecture, development, deployment, integration, and ongoing operations.

• Capability to navigate ambiguous business challenges, translate them into technical strategies, and effectively communicate with both technical and non-technical stakeholders.

🏝️ Benefits

• Equity

• Benefits