Solutions Architect, Applied AI Builder

NVIDIA • Santa Clara, CA

2d

About The Position

NVIDIA is seeking an outstanding Applied AI Builder, Enterprise Agent Systems to join our team building production-grade AI applications for the enterprise. In this role, you will lead by example as both a hands-on developer and technical expert, building proof-of-concept solutions, reference architectures, and deployable single-agent and multi-agent systems that solve real business problems. The Partner Solutions Architect team is dedicated to enabling ecosystem partners to build category-defining enterprise AI systems. We work across application design, orchestration, integrations, observability, and deployment to help enterprise developers to move from prototype to real-world impact using NVIDIA accelerated computing platforms. We welcome builders from all backgrounds who want to ship applied AI systems that perform reliably at scale.

Requirements

• MSc, PhD in Computer Science, Electrical Engineering, Software Engineer, ML Engineer, or related fields (or equivalent experience).
• 5+ years of relevant work experience in developing and deploying AI models at scale as a Software Engineer or Deep Learning engineer or Solutions Architect
• Evidence that you have built and shipped applied AI applications, enterprise copilots, agentic workflows, or automation systems that people actually use.
• Strong understanding of foundation model behavior in real systems, including prompting, context engineering, retrieval, tool use, fine-tuning tradeoffs, and evaluation.
• Real experience with multi-agent workflows, orchestration patterns, or complex long-running task systems.
• Strong programming skills in Python plus at least one of TypeScript, Go, Rust, or C++.
• Experience with synthetic data generation and evaluation, including synthetic tasks, traces, or test corpora used to improve coverage, quality, or robustness.
• Familiarity with GPU-backed inference systems, performance tradeoffs, and cost-quality tradeoffs.
• High agency, strong ownership, and a bias toward shipping.

Nice To Haves

• Meaningful OSS contributions in agents, enterprise integrations, evals, observability, or developer tooling.
• Experience deploying AI systems into enterprise, security-conscious, or regulated environments.
• Experience with secure execution, sandboxing, permissioned tool use, secrets handling, or auditability.
• Strong examples of multi-agent coordination in production.
• Familiarity with MCP, A2A-style communication patterns, or advanced agent interoperability.

Responsibilities

• Build applied AI applications and agentic systems that solve real enterprise problems across functions and industries
• Design single-agent and multi-agent workflows for tool use, retrieval, memory, planning, handoffs, and human-in-the-loop execution.
• Build full-stack systems that move from prototype to secure production deployment, including APIs, orchestration, observability, evaluation, identity, and rollback.
• Integrate with enterprise systems such as document stores, internal tools, codebases, data platforms, workflow engines, and business applications.
• Use coding agents such as Codex, Claude Code, Open/NemoClaw, or similar OSS tools as part of implementation, testing, debugging, refactoring, and release workflows to scaling partners.
• Define evals and feedback loops—including synthetic data generation and synthetic evaluation where useful—for task completion, reliability, latency, safety, cost, and measurable business impact.

Benefits

• You will also be eligible for equity and benefits.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees