Software Solutions Architect - NVIS is a AI Solutions Architect role (full-time). with Nvidia Corporation. in SANTA CLARA, US. Compensation shown: $152K–$288K. Imported listing (source: developer.jobserve.com). Apply on the employer's site (developer.jobserve.com).
Imported listing (source: developer.jobserve.com) · Apply on developer.jobserve.com
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from developer.jobserve.com
NVIDIA is seeking a Software Solutions Architect to lead the transformation of AI infrastructure within the NVIS team. You will build and productionize agentic AI solutions, LLM-powered agents, and automation tools for the NVIS Central platform. This role involves developing reliable AI systems, integrating with enterprise systems, and collaborating with cross-functional teams to enhance delivery operations.
Responsibilities
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.
NVIDIA Corporation is a global accelerated-computing and semiconductor company. Its GPUs helped drive PC gaming, modern computer graphics, artificial intelligence, data-center computing, robotics, autonomous systems, and visualization; the company now offers full-stack computing platforms at data-center scale.
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.
Requirements
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.
Nice to Have
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.
Benefits
Equity / stock optionsHealth insurancedental insurancevision insurance401kpaid time off
