Senior Solutions Architect, Generative AI Specialist

Workman Labs; Durham (NC); On-site; USD 184,000 - 357,000; Full time

Job summary

NVIDIA's Advanced Technology Partner team seeks a Senior Solutions Architect / GenAI specialist to advise on prototyping and PoC collaborations with AI partners, spanning deep technical work and enterprise impact.

Role focuses on leading end-to-end engagements, optimizing production inference, and mentoring teams. Location is in the U.S., with a strong GPU-accelerated workflow emphasis and partnership with internal engineering and research teams.

Qualifications

• 8+ years developing and deploying AI/ML systems and LLM workflows.
• Master's in CS/AI or related (or equivalent experience).
• Advanced expertise in RAG, prompt engineering, and production inference optimization.

Responsibilities

• Serve as primary technical contact for AI partners, managing relationships and roadmaps.
• Lead end-to-end prototyping engagements from concept to production.
• Build enterprise-grade AI systems, RAG pipelines, and multimodal workflows.

Skills

LLM workflows

RAG

Prompt engineering

Production inference optimization

Agentic AI

Multi-agent architectures

Multimodal architectures

PEFT

LoRA

GPU-accelerated

Education

Master's degree in CS/AI

Tools

CUDA

TensorRT

Triton

Containerization

MLOps

Job description

Senior Solutions Architect, Generative AI Specialist

NVIDIA's Advanced Technology Partner team is hiring a Senior Solutions Architect / GenAI specialist to act as technical advisor on prototyping and proof-of-concept collaborations with AI partners, spanning deep technical work and enterprise impact.

$184,000 – $356,500 / yr

Location

—

Seniority

Senior

Compared with 22 other Go To Market roles: Common across similar roles Unique to this role

What you'll do

• Serve as primary technical contact for AI partners, managing relationships and roadmaps Common
• Lead end-to-end prototyping engagements with architectural guidance from concept to production Unique
• Build enterprise-grade agentic AI systems, RAG pipelines, and multimodal GPU-accelerated workflows Common
• Diagnose and resolve performance bottlenecks across the full AI stack Unique
• Produce reusable technical assets (implementation guides, benchmarks)
• Collaborate with internal engineering, research, and product teams; mentor and help hire

Experience

• 8+ years developing and deploying AI/ML systems and LLM workflows Unique
• Master's in CS/AI or related (or equivalent experience) Unique
• Advanced expertise in RAG, prompt engineering, and production inference optimization
• Proficiency in agentic AI and multi-agent/multimodal architectures Unique
• Hands-on model fine-tuning (PEFT, LoRA) and evaluation frameworks
• GPU-optimized infrastructure, containerization, and MLOps Unique
• Standout: NVIDIA AI Enterprise/NIM/NeMo/TensorRT/Triton/CUDA, Omniverse/Isaac/Jetson, open-source/publications