AI Solutions Architect: LLM Agents & Automation

NVIDIA; Raleigh (NC); On-site; USD 152,000 - 288,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a Software Solution Architect for NVIS to lead transformation of AI infrastructure and build the NVIS Central platform with agents, tools, and automation for the delivery organization.

You will design, implement, and productionize agentic AI solutions, integrate with internal systems, and collaborate across software, DevOps, product, and field teams to deliver reliable, scalable AI workflows.

Qualifications

• B.Sc. degree or equivalent in CS/CE or related field.
• 5+ years of hands-on software development experience.
• Strong Python and backend development experience.
• Hands-on with LLMs, agent workflows, tool calling, RAG.
• RESTful APIs, data services, and enterprise integrations.
• Experience with Docker, Kubernetes, CI/CD, Git, observability.
• Experience with SQL and NoSQL databases.
• Problem solving, ownership, and cross-functional collaboration.

Responsibilities

• Build agentic AI solutions and tools for the NVIS delivery organization.
• Develop LLM-based agents, tool calls, workflows, APIs, and data pipelines.
• Translate needs into technical builds, workflows, and production software.
• Create agents that reason across project data, logs, and workflows.
• Automate tasks, improve readiness, and simplify handoffs.
• Collaborate with engineering, product, and DevOps teams to scale solutions.
• Contribute to engineering guidelines on code quality, testing, observability, and security.

Skills

Python

LLM workflows

RESTful APIs

Docker/Kubernetes

Cloud-native

Data modeling

SQL/NoSQL

Observability

Education

B.Sc. or equivalent in CS/CE

Tools

Git

CI/CD

VS Code

Pytest

Job description

NVIDIA is seeking a Software Solution Architect for NVIS to lead transformation of AI infrastructure and build the NVIS Central platform with agents, tools, and automation for the delivery organization.

You will design, implement, and productionize agentic AI solutions, integrate with internal systems, and collaborate across software, DevOps, product, and field teams to deliver reliable, scalable AI workflows.