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# Senior Solutions Architect - Multimodal AI

- **Company:** NVIDIA Corporation
- **Location:** Valbonne, France (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Content Analysis, Large Language Models, Information Technology, TensorRT
- **Published:** September 10, 2026
- **Apply:** https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/France-Remote/Senior-Solutions-Architect---Multimodal-AI_JR2024429

## About the Role

* MS or PhD in Computer Science, Engineering, or equivalent experience will be considered.
 * 7+ years in applied AI/ML, having hands-on experience on document understanding, visual content analysis.
 * Proven track record in building or optimizing VLMs and Omni models.
 * Familiarity with NVIDIA's ecosystem: TensorRT-LLM, NeMo, RAPIDS, or equivalent training and inference frameworks.
 * Excellent communication skills, comfortable with research scientists, ML engineers, and business collaborators., * You have built multimodal AI systems that handle multiple modalities (audio, video) and complex structures: layouts, tables, and multi-page reasoning.
 * Understanding of retrieval and search systems: dense retrieval, ANN indexing, re-ranking pipelines.
 * You have optimized vision encoders for production: quantization, pruning, or architectural changes to hit real latency budgets.
 * You have published work or open-source contributions in multimodal learning.

## Description

* Develop technical relationships with customers building multimodal AI systems for document intelligence, personalization, and image/video analysis, assisting them from architectural planning through to deployment in production.
 * Guide customers on model training strategies across modalities: layout-aware document encoders, user-item interaction models, and spatiotemporal video representations.
 * Tackle Vision content challenges: image resolutions, vision encoder optimization for production latency constraints, efficient video frame sampling, temporal reasoning.
 * Represent customer needs directly to NVIDIA's product teams, translating field insights into roadmap decisions across NeMo, TensorRT-LLM, Dynamo and RAPIDS.
 * Engage the developer community through hackathons, technical talks, demos, and reference blueprints.


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