Nvidia Lead Enterprise AI Architect Platform - Agentic 

United States, California 

524158029

What you will be doing:

• Define and evolve the architecture for NVIDIA’s Enterprise AI Platform, including frameworks for agent orchestration, multi-agent coordination, RAG, deployment, monitoring, and life cycle management.

• Architect and enable data flywheels that drive continuous improvement of AI agents through evaluation, feedback, and iteration loops.

• Partner with engineering, product, and research teams to shape platform strategy and roadmaps, while evaluating LLMs, agentic frameworks, and NVIDIA’s own NeMo and AIQ technologies.

• Ensure integration with enterprise data sources and tools (e.g., ServiceNow, Salesforce, SAP, Workday, GDrive, SharePoint, Confluence) with strong content security focus.

• Drive architectural decisions across deployment models (on-prem, cloud, hybrid, containerized) to deliver scalable, reliable, and efficient solutions.

• Lead design reviews, develop technical documentation, and mentor engineers in principles of architecture and code development.

• Champion observability, monitoring, versioning, and telemetry to ensure trustworthy and auditable AI agents.

• Influence enterprise adoption of the platform by partnering with stakeholders across IT, chip design, supply chain, sales, finance, and HR, and serve as a reference adopter providing feedback to strengthen NVIDIA’s ecosystem.

What we need to see:

• Bachelor’s degree in Computer Science or related field (or equivalent experience); Master’s or PhD preferred.

• 15+ years of demonstrable experience in software architecture, systems design, or enterprise platform engineering.

• Deep expertise in architecting large-scale distributed systems with a focus on reliability, performance, and security.

• Demonstrate proficiency in AI/ML systems, generative AI, or agentic AI frameworks.

• Familiarity with large language models, RAG pipelines, orchestration frameworks (e.g., ReAct, LangChain, AutoGPT-like flows).

• Experience integrating enterprise platforms (e.g., ERP, CRM, ITSM) with APIs, data connectors, or custom services.

• Hands-on development of AI agents, frameworks, and tooling, including setting architectural and coding standards.

• Solid understanding of security, governance, and compliance for AI in enterprise contexts.

• Excellent collaboration skills with the ability to influence cross-functional stakeholders and build trusted partnerships.

• Ability to communicate complex architectural concepts clearly and inspire confidence across technical and business audiences.

Ways to stand out from the crowd:

• Hands-on experience with containerized deployments, Kubernetes, and hybrid cloud/on-prem environments.

• Prototyping skills in Python with ability to build proof-of-concept agent workflows.

• Experience with NVIDIA AI technologies such as NeMo, NeMo Guardrails, AIQ, or GPU-optimized inference stacks.

• Track record of publishing technical papers, architecture patterns, or thought leadership in AI systems.

• Knowledge of observability tools, telemetry dashboards, and evaluation frameworks for AI agent performance as well as experience solving real-world problems with AI in IT, supply chain, or finance domains.