<p>Do you want to drive the future of AI by building agentic AI applications at scale? We are looking for Solution Architects to join the NVIDIA AI Enterprise (NVAIE) SA Segment Team to help redefine how enterprises build and deploy AI agents. We specialize in the newest technology and advances in Machine Learning, Deep Learning and Generative AI. The vision of the NVAIE Segment team is to use our deep expertise to guide and enable the successful adoption at scale of NVIDIA AI Enterprise Software in production!</p><p></p><h2><b>What you’ll be doing:</b></h2><ul><li><p>The Agentic AI team mission is to deliver innovative and optimized AI agents using the latest techniques including Test Time Compute, Reinforcement Learning, inference optimization and model fine-tuning. We specialize on engineering new solutions to fit our customers needs by integrating their enterprise data sources into meaningful agentic applications.</p></li><li><p>You’ll work with agentic frameworks to develop applications that retrieve and generate insights from enterprise data, including text, code, and images. Your focus will be on creating high-impact solutions such as deep research assistants, multi-modal dialogue systems, and task-specific agents that support a wide range of enterprise workflows. You’ll be deeply engaged with engineering teams, stay ahead of the latest AI advancements, and apply strong technical judgment to everything you deliver.</p></li><li><p>Provide direct feedback from these first-time implementations to improve our software products and scale knowledge by educating vertical teams and building communities on NVIDIA AI software products!</p></li></ul><p></p><h2><b>What we need to see:</b></h2><ul><li><p>Strong foundational expertise, from a BS, MS, or Ph.D. degree in Engineering, Mathematics, Physics, Computer Science, Data Science, or similar (or equivalent experience).</p></li><li><p>5+ years experience demonstrating an established track record in Deep Learning and Machine Learning. Strong software engineering and debugging skills, including experience with Python, C/C++, and Linux. Experience with GPUs as well as expertise in using deep learning frameworks such as TensorFlow or PyTorch.</p></li><li><p>Proficiency in rapid prototyping using Python with strong foundational knowledge of data structures, algorithms, and software engineering principles.</p></li><li><p>Experience with building advanced multi-agent systems, using libraries like LangGraph, LlamaIndex, CrewAI.</p></li><li><p>Ability to multitask effectively in a dynamic environment, as well as clear written and oral communications skills with the ability to effectively collaborate with executives and engineering teams.</p></li></ul><p></p><h2><b>Ways to stand out from the crowd:</b></h2><ul><li><p>Expertise in building evaluation harnesses, success metrics, automated testing pipelines, and guardrail frameworks to ensure agentic AI workflows are safe, reliable, and production-ready.</p></li><li><p>Skilled in fine-tuning and optimizing reasoning-focused LLMs and SLMs, including prompt engineering, quantization, and benchmarking.</p></li><li><p>Experience developing production-grade deployment patterns using Kubernetes/OpenShift, CI/CD automation, and secure cloud-native infrastructure.</p></li></ul><p></p><p></p>Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.<div><div><div><div><div><div><div><p></p><p><span>You will also be eligible for equity and <a href="https://www.nvidia.com/en-us/benefits/" target="_blank">benefits</a>.</span></p><p></p></div></div></div></div></div></div></div>Applications for this job will be accepted at least until September 7, 2025.<p></p><p></p>NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.<p></p><p></p>