Enterprise Agentic AI Solutions Architect

NVIDIA; France; On-site; EUR 120,000 - 180,000; Full time

Job summary

NVIDIA is seeking a Solutions Architect to lead enterprise‑scale agentic AI initiatives in France. You will partner with customers to design architectures, map workflows, and integrate the NVIDIA stack across on‑prem, hybrid, and cloud environments.

You’ll drive technical discovery, build reference architectures, and develop proofs of concept that move from generic AI wrappers to specialized, production‑ready platforms.

Qualifications

• BS, MS, PhD or equivalent in CS/EE/Physics or related field
• 8+ years in production LLM or agentic AI systems
• Strong Python and TypeScript/JavaScript
• Practical knowledge of orchestration frameworks, agent frameworks, RAG platforms
• Familiarity with model serving and inference optimization, incl. NIM and Dynamo
• Experience with Kubernetes, Helm, containers, and GPU-backed workloads
• Ability to debug across full stack and work directly with customers
• Comfort with uncertainty and rapid proof-of-concept development

Responsibilities

• Lead deep technical discovery with AI wrapper partners to understand product architecture and orchestration
• Build reference architectures using NVIDIA stack (NIM, Dynamo, Nemo, CUDA-X, etc.)
• Create hands-on proofs of concept showing evolution from generic wrappers to production‑grade platforms
• Use DGX Spark for demos, sandboxed workflows, and pilot environments
• Standardize on NIM + Dynamo for agentic serving patterns and fast iteration
• Help partners implement secure runtime patterns including sandboxing and policy enforcement
• Support multi-stage deployment paths from local development to on‑prem or hybrid cloud

Skills

Python

TypeScript

JavaScript

Customer engagement

Education

BS, MS, PhD or equivalent

Tools

Kubernetes

Docker

NIM

Dynamo

NeMo

CUDA-X

Job description

NVIDIA is seeking a Solutions Architect to lead enterprise‑scale agentic AI initiatives in France. You will partner with customers to design architectures, map workflows, and integrate the NVIDIA stack across on‑prem, hybrid, and cloud environments.

You’ll drive technical discovery, build reference architectures, and develop proofs of concept that move from generic AI wrappers to specialized, production‑ready platforms.