Senior Solutions Architect, Generative AI Specialist

Descon; Santa Clara (CA); Remote; USD 120,000 - 160,000; Full time

Job summary

A technology solutions company is seeking a Senior Solutions Architect specializing in Generative AI. This remote role involves developing AI orchestration frameworks, leading workshops, and collaborating with various teams. Candidates should have over 8 years in AI system design and a relevant advanced degree. Strong communication skills and MLOps experience are recommended.

Qualifications

• Over 8 years crafting scalable agentic AI systems and complex LLM-powered workflows.
• Validated experience with MLOps principles, including CI/CD for models.
• Strong understanding of modern GenAI ecosystem and LLM architectures.

Responsibilities

• Develop reference architectures and prototypes for AI orchestration patterns.
• Build and lead proof-of-concept engagements for AI solutions.
• Design strategies for multi-cloud and hybrid platforms.

Skills

Scalable agentic AI systems

MLOps principles

AI orchestration frameworks

Modern GenAI ecosystem

Strong communication skills

Education

BS/MS/PhD in relevant fields

Tools

LangChain

Haystack

Job description

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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