Platform Architect, Enterprise Agentic AI Platform

NVIDIA Corporation; Santa Clara (CA); On-site; USD 272,000 - 431,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a Principal or Distinguished Engineer to architect enterprise-grade agentic AI systems. You will write production-grade code in Python and/or Go, deploy via Kubernetes, and advance scalable agent runtimes across enterprise environments.

Lead multi-agent patterns, including planner and tool agents, and translate new agent development into reusable platform services, with a focus on security, observability, and governance.

Qualifications

• 15+ years building large-scale distributed systems with hands-on coding in Python/Go.
• Proven track record architecting agentic AI systems and RAG pipelines.
• Deep Kubernetes, networking, APIs, and secure enterprise integration experience.
• Experience delivering reusable developer tools and reference implementations.

Responsibilities

• Develop and deliver production-quality agentic AI systems from start to finish.
• Define and advance enterprise agent architecture with practical implementations.
• Build multi-agent orchestration patterns using modern frameworks.
• Harden patterns into reusable platform services, APIs, and templates.
• Embed telemetry, evaluation, and policy enforcement into runtimes.

Skills

Distributed systems

Python

Go

Kubernetes

GPU inference

Agent architecture

Code prototyping

Performance tuning

Security and governance

Collaboration

Education

Bachelor's in Computer Science or related field

Master's or PhD preferred

Tools

Cursor

Claude Code

Claude Cowork

LangChain

LangGraph

CI/CD tooling

Job description

NVIDIA is seeking a Principal or Distinguished Engineer to architect enterprise-grade agentic AI systems. You will write production-grade code in Python and/or Go, deploy via Kubernetes, and advance scalable agent runtimes across enterprise environments.

Lead multi-agent patterns, including planner and tool agents, and translate new agent development into reusable platform services, with a focus on security, observability, and governance.