As a Software Solution Architect at NVIDIA, you will lead the transformation of AI infrastructure within the NVIS team. This role focuses on developing NVIS Central, a software platform that automates and simplifies workflows using AI agents. You will have the opportunity to create LLM-powered agents that enhance execution visibility and reduce manual tasks. Join us in optimizing large-scale AI Factory infrastructure for advanced computing environments.

• 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.

• 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.

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.