Category: Artificial Intelligence | Machine Learning | Enterprise Software
Employment Type: Full-Time
Location: Santa Clara, CA / US Remote
Posted: June 10, 2026
Application Deadline: June 14, 2026
About the Role
NVIDIA is hiring a Solutions Architect specialising in Agentic AI to join its NVIDIA AI Enterprise (NVAIE) Solutions Architecture Segment Team. This is a high-impact engineering and customer-facing role at the frontier of generative AI, where you will design, prototype, and deploy intelligent AI agent systems for large enterprise clients.
The Agentic AI team focuses on solving real-world enterprise challenges using cutting-edge techniques — from Test Time Compute and Reinforcement Learning to inference optimisation and model fine-tuning. If you are passionate about building production-ready AI agents that actually work at scale, this role puts you at the centre of that mission.
What You Will Be Doing
As a Solutions Architect on the Agentic AI team, your day-to-day will involve architecting and building enterprise-grade AI agent applications using the latest agentic frameworks. You will integrate enterprise data sources — text, code, and images — into meaningful, results-driven agentic workflows.
Key responsibilities include:
- Designing and developing multi-agent systems using frameworks such as LangGraph, LlamaIndex, and CrewAI
- Building solutions like deep research assistants, multi-modal dialogue systems, and task-specific enterprise agents
- Engaging directly with customer engineering teams to deliver first-time implementations of NVIDIA AI Enterprise software
- Providing hands-on feedback to NVIDIA’s product teams to improve software offerings based on real deployment experience
- Educating vertical teams and building internal knowledge communities around NVIDIA AI software products
- Staying ahead of advancements in LLM reasoning, agentic orchestration, and AI infrastructure
Required Qualifications
- Education: BS, MS, or Ph.D. in Engineering, Mathematics, Physics, Computer Science, Data Science, or a related field — or equivalent hands-on experience
- Experience: 5+ years with a demonstrated track record in Deep Learning and Machine Learning
- Programming: Strong software engineering skills in Python, C/C++, and Linux
- Frameworks: Practical experience with deep learning frameworks such as TensorFlow or PyTorch
- AI Agents: Hands-on experience building advanced multi-agent systems using LangGraph, LlamaIndex, or CrewAI
- GPU Expertise: Demonstrated experience working with GPU-accelerated computing
- Communication: Excellent written and verbal communication skills; comfortable collaborating with both executive stakeholders and engineering teams
- Ability to manage multiple priorities in a fast-moving, dynamic environment
Preferred / Standout Qualifications
Candidates who possess the following will stand out:
- Experience building evaluation harnesses, success metrics, automated testing pipelines, and guardrail frameworks for safe and reliable agentic AI workflows
- Expertise in fine-tuning and optimising reasoning-focused LLMs and SLMs, including prompt engineering, quantisation, and benchmarking
- Production deployment experience using Kubernetes, OpenShift, CI/CD automation, and secure cloud-native infrastructure
Compensation & Benefits
- Level 3 Base Salary Range: $152,000 – $241,500 USD
- Level 4 Base Salary Range: $184,000 – $287,500 USD
Final base salary is determined by your location, experience, and internal pay equity. In addition to base salary, this role is eligible for equity (RSUs) and a comprehensive benefits package.
Why NVIDIA
NVIDIA is a global leader in accelerated computing and AI infrastructure. The NVAIE team works at the bleeding edge of enterprise AI adoption — not theoretical research, but real production deployments that change how businesses operate. You will have access to NVIDIA’s latest hardware, software stack, and research, while making a direct, measurable impact on the AI industry.
NVIDIA is an equal opportunity employer and is committed to building an inclusive workplace. The company does not discriminate on the basis of race, religion, colour, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.
Note: NVIDIA uses AI-assisted tools in its recruiting processes.
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