Senior Solutions Architect, Generative AI Specialist
Job Type: Full-time, Remote
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 that bring these AI workflows to life.
- Design and advise on multi‑cloud and hybrid‑platform strategies and deployments, ensuring customers can bring to bear the best tools for their specific business challenges.
- Lead live workshops, working sessions, and trainings to ensure partner and customer success.
- Scale your knowledge by sharing your lessons with other NVIDIA teams around the globe.
- Cultivate learning and improvement by providing valuable feedback to sales and product specialists.
Qualifications
- Over 8 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 of developing high‑level systems that use sophisticated RAG pipelines as a feature in a broader AI orchestration framework (such as LangChain, LangGraph, Haystack).
- Familiarity with emerging standards for agentic AI, such as the MCP protocol for multi‑agent orchestration and interoperability.
- Strong understanding of modern GenAI ecosystem and LLM architectures. Proficient in innovative PEFT techniques like LoRA, QLoRA, and DoRA.
- Robust foundational expertise, MS or advanced degree in a field related to AI or Computer Science, or equivalent experience.
- Passion for learning and experience crafting educational materials within the AI or Cloud domain.
- Clear love of technology and AI—as illustrated by knowledge of emerging trends and tools.
- Strong communication skills and experience working in external‑facing roles. Comfortable working in a highly collaborative environment.
Job Details
Seniority level: Mid‑Senior level
Employment type: Full‑time
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