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Required Skills & Competences ?
CI/CD @ 4 MLOps @ 4 Hiring @ 4 Communication @ 7 Mathematics @ 4 LLM @ 4Details
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.
Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. As part of this effort, NVIDIA is hiring a Senior Solutions Architect focused on Generative AI to design and demonstrate end-to-end AI solutions across industries such as healthcare, manufacturing, and financial services.
Responsibilities
- Develop reference architectures and prototypes for complex AI orchestration patterns in industry-specific contexts.
- Build and lead proof-of-concept engagements for novel agentic AI solutions and LLM-powered workflows.
- Design and advise on multi-cloud and hybrid-platform strategies and deployments.
- Lead live workshops, working sessions, and trainings to ensure partner and customer success.
- Scale knowledge across NVIDIA teams by sharing lessons learned.
- Provide feedback to sales and product specialists to cultivate continuous improvement.
Requirements
- Over 5 years crafting scalable agentic AI systems and complex LLM-powered workflows.
- BS/MS/PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or other engineering fields (or equivalent experience).
- Validated experience with MLOps principles, including CI/CD for models, automated training pipelines, and production monitoring.
- Established record developing high-level systems that use sophisticated Retrieval-Augmented Generation (RAG) pipelines as part of an AI orchestration framework (examples: LangChain, LangGraph, Haystack).
- Familiarity with emerging standards for agentic AI, such as the MCP protocol for multi-agent orchestration and interoperability.
- Strong understanding of the modern Generative AI ecosystem and LLM architectures.
- Proficiency with PEFT techniques such as LoRA, QLoRA, and DoRA.
- Passion for learning and experience creating educational materials in AI or Cloud domains.
- Strong communication skills and experience in external-facing roles; comfortable in highly collaborative environments.
Benefits
- Competitive base salary and comprehensive benefits package. See details at: www.nvidiabenefits.com/
- Eligibility for equity and additional benefits as detailed by NVIDIA.
Compensation and application
- Base salary range: 148,000 USD - 235,750 USD (base salary will be determined by location, experience, and comparable pay).
- You will also be eligible for equity and benefits (see NVIDIA benefits pages).
- Applications accepted at least until August 17, 2025.