Senior Solutions Architect

Job Summary

Driving the future of AI, the full-time Senior Solutions Architect will develop agentic AI applications at scale, utilizing the latest machine learning techniques while collaborating with engineering teams in a remote environment.

Key responsibilities

• Deliver innovative AI agents by integrating enterprise data sources and applying advanced techniques such as reinforcement learning and model fine-tuning
• Develop applications that generate insights from various data types, focusing on creating high-impact solutions for enterprise workflows
• Provide feedback from implementations to enhance software products and educate teams on NVIDIA AI software solutions

Required qualifications

• BS, MS, or Ph.D. in Engineering, Mathematics, Physics, Computer Science, Data Science, or equivalent experience
• 12+ years of experience in Deep Learning and Machine Learning, with strong software engineering skills in Python, C/C++, and Linux
• Proficiency in rapid prototyping and deep learning frameworks such as TensorFlow or PyTorch
• Experience with building advanced multi-agent systems using libraries like LangGraph and LlamaIndex
• Ability to multitask in a dynamic environment and collaborate effectively with executives and engineering teams