Senior Solutions Architect

Job Summary

Leading the design and deployment of production-grade Agentic AI systems, the full-time Senior Solutions Architect will collaborate with enterprise software companies to optimize NVIDIA's accelerated computing platform while managing technical projects from architecture through production rollout, both onsite and remotely.

Key responsibilities

• Lead technical delivery for strategic Agentic AI partner engagements from discovery to production readiness and rollout
• Design and build enterprise-grade agentic systems, including multi-agent workflows and RAG-integrated applications
• Conduct deep architecture reviews with partner engineering teams, balancing tradeoffs across various system performance metrics

Required qualifications

• BS/MS/PhD in Computer Science, Electrical Engineering, AI/ML, or equivalent experience
• 8+ years of experience in engineering, solutions architecture, applied ML, or technical deployment
• Proven track record of leading complex AI, ML, or enterprise software deployments from prototype to production
• Hands-on experience with LLM, generative AI, RAG, or agentic AI applications in production environments
• Strong programming skills in Python and experience with deep learning frameworks such as PyTorch or TensorFlow