Senior Solutions Architect

Seeking a highly hands-on Senior Solutions Architect for a full-time position, who will develop, build, and deploy agentic AI systems for top Media & Entertainment companies, transforming large language model capabilities into autonomous agents while working remotely or onsite in Santa Clara. Key responsibilities: Architect, build, and ship end-to-end Agentic AI applications for M&E use cases, addressing challenges like content generation and personalization Act as a hands-on technical advisor, collaborating with customer AI researchers and engineers to prototype and deploy solutions on NVIDIA platforms Optimize inference performance and create reusable blueprints to accelerate time-to-value, while partnering with engineering and sales teams to translate customer feedback into actionable insights Required qualifications: BS/MS/PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, AI/ML, or a related field (or equivalent experience) 8+ years of experience as an ML/Software Engineer or Solutions Architect with production-level coding in Python and/or C/C++ in Linux environments Proven experience in building agentic and multi-agent AI systems using orchestration frameworks like LangChain and OpenAI Agents SDK Strong background in PyTorch and distributed GPU training, with experience deploying workloads at scale on public cloud or on-premise Solid understanding of the M&E industry with excellent communication skills to engage both technical and non-technical stakeholders