Software Solutions Architect, NVIS

NVIDIA AI; Santa Clara (CA); On-site; USD 152,000 - 288,000; Full time

Benefits offered by this job

Equity

Benefits package

Job summary

NVIDIA NVIS is seeking a Software Solution Architect to lead the transformation of AI infrastructure in the Santa Clara area. You will build agentic AI solutions, design workflows, and integrate LLM-based agents with internal systems for scalable delivery.

You will collaborate with software engineers, product managers, DevOps, and field teams to deliver reliable AI platforms, maintain code quality, testing, CI/CD, and production support. Equity and benefits are provided.

Qualifications

• Degree or equivalent in CS/engineering.
• 5+ years building production software or AI-based systems.
• Strong Python and backend development experience.
• Hands-on with LLMs, agent workflows, tool calling, RAG, AI apps.
• Experience with RESTful APIs and data services.
• Experience with non-deterministic AI systems testing and monitoring.

Responsibilities

• Build agentic AI solutions and tools for the NVIS delivery org.
• Develop LLM-based agents, workflows, APIs, data pipelines.
• Translate needs into technical builds and working software.
• Create AI systems with reliable testing, monitoring, and guardrails.
• Integrate LLMs with internal systems and data sources.
• Collaborate with software engineers, PMs, DevOps and field teams.

Skills

Python programming

LLM workflows

RESTful APIs

Cloud-native development

Data modeling

Education

B.Sc. in Computer Science or related field

Tools

Docker

Kubernetes

Git

CI/CD pipelines

Observability tools

RAG integration

Job description

Job Requisition ID JR2019884

Job Category Sales

Time Type Full time

As a Software Solution Architect, NVIS at NVIDIA, you will lead the transformation of AI infrastructure. Our NVIS team focuses on developing the next generation of NVIS Central, an agentic software platform with tools, services, and AI agents that automate, simplify, and speed up the work of our delivery organization. This role offers an outstanding chance to create and build LLM-powered agents that improve execution visibility, cut down manual tasks, and standardize workflows. These efforts allow NVIS to grow quickly and with high quality. Join us to bring up, validate, optimize, and upgrade large-scale AI Factory infrastructure for some of the world’s most advanced accelerated computing environments!

What You'll Be Doing (required)

• Compose, build, and productionize agentic AI solutions, tools, and applications for the NVIS delivery organization.
• Develop LLM-based agents, skills, tool-calling workflows, orchestration logic, backend services, APIs, data pipelines, and automation features as part of NVIS Central.
• Translate field, delivery, operations, and product needs into clear technical builds, agent workflows, and working software.
• Develop agents that can reason across project data, knowledge bases, operational systems, logs, reports, and delivery workflows.
• Build workflows that help NVIS teams identify risks, summarize project status, automate repetitive tasks, improve readiness visibility, and simplify handoffs.
• Work with timely engineering, retrieval-augmented generation, context management, agent memory, function calling, evaluations, and guardrails to build reliable AI systems.
• Integrate LLMs and agents with internal systems, project data sources, knowledge repositories, reporting tools, and operational workflows.
• Collaborate closely with software developers, architects, product managers, DevOps/SRE, and NVIS field teams to successfully implement reliable and scalable solutions.
• Contribute to engineering guidelines, including code quality, testing, CI/CD, observability, documentation, security, and production support.

What We Need To See (required)

• B.Sc. degree or equivalent experience in Computer Science, Computer Engineering, or a related technical field.
• 5+ years of hands‑on software development experience building production applications, platforms, automation tools, or AI‑based systems.
• Strong programming experience with Python and modern backend development.
• Hands‑on experience working with LLMs, agentic workflows, timely composition, tool/function calling, RAG, and AI application development.
• Experience crafting and implementing RESTful APIs, data services, workflow automation, and integrations with enterprise systems.
• Experience building reliable software around non‑deterministic AI systems, including testing, evaluation, monitoring, and failure handling.
• Experience with Docker, Kubernetes, CI/CD, Git, observability, and cloud‑native development practices.
• Background with SQL and NoSQL databases, data modeling, querying, indexing, and data integration.
• Excellent problem‑solving skills, ownership attitude, and ability to operate in a fast paced, cross‑functional environment.

Ways To Stand Out From The Crowd (optional)

• Experience building agent platforms, copilots, multi‑agent systems, tool‑calling workflows, evaluation frameworks, or MCP‑style integrations.
• Deep understanding of LLM application patterns such as context engineering, retrieval quality, timely/version management, agent planning, human‑in‑the‑loop workflows, and AI safety guardrails.
• Experience with AI infrastructure, HPC clusters, NVIDIA DGX systems, SuperPOD, Spectrum‑X, Ethernet, InfiniBand, Kubernetes, or SLURM.
• Experience in automating workflows related to field, delivery, operations, or professional services.
• Strong Linux, networking, security, SRE, or distributed systems background.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 1, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.