Software Solutions Architect, NVIS

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.

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.
• 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.

Benefits:

• Equity
• Benefits