Senior Solutions Architect, Agentic AI

NVIDIA
Santa Clara
Workplace: HybridFull timeUSD 184,000 - 287,500 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 8+ yearsEducation: mastersSkills: ["Communication","Presentation","Project leadership","Technical advising","Cross-functional collaboration"]

Build end-to-end agentic AI applications for Media & Entertainment customers, transforming frontier LLM capabilities into autonomous agents at production scale. Architect and ship multi-agent systems, high-performance RAG pipelines, and optimized inference stacks on NVIDIA’s accelerated computing platform. Serve as a hands-on technical advisor across pre- and post-sale stages, prototype proofs of concept, and deliver reusable reference architectures that accelerate customer time-to-value.

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FursaFursa
NVIDIA
NVIDIA
1 month ago

Senior Solutions Architect, Agentic AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live
Reposted: similar role first listed 8 months ago

Job Summary

Build end-to-end agentic AI applications for Media & Entertainment customers, transforming frontier LLM capabilities into autonomous agents at production scale. Architect and ship multi-agent systems, high-performance RAG pipelines, and optimized inference stacks on NVIDIA’s accelerated computing platform. Serve as a hands-on technical advisor across pre- and post-sale stages, prototype proofs of concept, and deliver reusable reference architectures that accelerate customer time-to-value.
Location: Santa Clara
Workplace: Hybrid
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Architect, build, and ship end-to-end agentic AI applications for Media & Entertainment use cases, including multi-agent coordination, long-horizon reasoning, planning, tool use, and high-performance RAG pipelines.
  • •Act as a hands-on technical advisor and main domain expert during pre- and post-sale stages, working with customer AI researchers, engineers, and developers to prototype and deploy solutions on NVIDIA platforms.
  • •Optimize inference performance and total cost of ownership using NVIDIA’s AI inference stack; build proofs-of-concept, reference architectures, and reusable blueprints as production templates.
  • •Develop multi-agent and retrieval systems that handle heterogeneous media assets (text, code, images, audio, video) to address content generation, localization, metadata enrichment, personalization, recommendation, and ad operations.
  • •Partner with NVIDIA engineering, product, and sales teams to secure build wins, translate customer feedback into actionable product/roadmap insights, and scale expertise via technical collateral, workshops, and developer communities.

Pay and Benefits

Salary: USD 184,000 - 287,500 annually
Equity and Bonus:Equity

Key Requirements

  • •BS/MS/PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, AI/ML, or related field (or equivalent experience).
  • •8+ years as an ML/Software Engineer or Solutions Architect writing production-level code in Python and/or C/C++ in Linux environments.
  • •Validated experience building agentic and multi-agent AI systems using orchestration frameworks such as LangGraph, LlamaIndex, CrewAI, LangChain, and OpenAI Agents SDK, including tool-using and routing agents.
  • •Strong background in PyTorch and distributed GPU (post-)training; ability to prototype and build scalable GPU-accelerated architectures and deploy workloads at scale on AWS, GCP, Azure, OCI, or on-premise.
  • •Strong grasp of the Media & Entertainment industry and the ability to communicate sophisticated ideas to technical and non-technical groups.
Experience:8+ yearsMedia & EntertainmentAgentic AIMulti-agent AILLMsRAGDistributed GPUCloud deployments
Education:Master's
Skills:CommunicationPresentationProject leadershipTechnical advisingCross-functional collaboration
Tech Stack:PythonC/C++LinuxLangGraphLlamaIndexCrewAILangChainOpenAI Agents SDKTool-using agentsRouting agentsMCPA2APyTorchAWSGCPAzureOCINVIDIA NIMNeMo FrameworkNeMo Retriever

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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