Principal Architect, Enterprise Agentic AI Platform

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

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking an architectural leader to define enterprise-grade agentic AI systems in Santa Clara, CA. You will code daily in Python and/or Go, build scalable platforms, and shape the agent architecture from prototype to production across orchestration, memory systems, and security.

The role demands deep Kubernetes and GPU inference expertise, experience with LangChain/LangGraph, and a proven ability to translate complex ideas into robust platform services and templates.

Qualifications

• Bachelor's degree in Computer Science or related field; Master’s or PhD preferred.
• 15+ years of experience building large-scale distributed systems with hands-on coding in Python, Go, or similar systems languages.
• Proven agentic AI experience with RAG pipelines, long-lasting memory models, multi-agent management (e.g., LangChain, LangGraph), tool frameworks, and evaluation infrastructure.
• Expert-level depth in Kubernetes, containerized workloads, networking, APIs, and secure enterprise integration patterns.
• Experience benchmarking, regression testing, telemetry, and observability systems that measure agent quality, latency, cost, reliability, and safety.
• Excellent collaboration and communication across technical and business stakeholders.

Responsibilities

• Develop and deliver production-quality agentic AI systems from start to finish using Python and/or Go, covering Kubernetes deployment, agent runtimes, memory systems, orchestration, tool integration, and evaluation pipelines.
• Define and advance NVIDIA’s Enterprise Agentic AI architecture through practical implementations, reference systems, and production deployments—not abstract diagrams.
• Build and implement multi-agent orchestration patterns (planner, executor, reviewer, tool agents) using frameworks such as LangChain, LangGraph, or similar orchestration systems, with strong regression coverage and observability.
• Run fast, high-quality POCs on emerging agent architectures; harden successful patterns into reusable platform services, APIs, SDKs, and developer templates.
• Architect and implement data flywheels that continuously improve agent quality through telemetry, benchmarking, automated evaluation, and structured feedback loops.
• Embed security, guardrails, sandbox isolation, auditability, and policy enforcement directly into agent runtimes in partnership with security and governance teams.
• Evaluate, integrate, and extend open-source and third-party agent platforms; drive disciplined build-vs-use decisions based on performance, scalability, control, and long-term platform ownership.
• Collaborate closely with engineering, infrastructure, product, and business collaborators to align architectural direction with enterprise priorities and accelerate adoption.

Skills

Python

Go

Kubernetes

GPU inference

System architecture

Education

Bachelor's degree in CS

MS/PhD preferred

Tools

Cursor

Claude Code

LangChain

LangGraph

Job description

NVIDIA is seeking an architectural leader to define enterprise-grade agentic AI systems in Santa Clara, CA. You will code daily in Python and/or Go, build scalable platforms, and shape the agent architecture from prototype to production across orchestration, memory systems, and security.

The role demands deep Kubernetes and GPU inference expertise, experience with LangChain/LangGraph, and a proven ability to translate complex ideas into robust platform services and templates.