Enterprise AI Architect: NVIDIA DGX & GPU Infra

Trickdogtechnology; Irvine, Scottsdale, Houston (CA, AZ, TX); On-site; USD 180,000 - 240,000; Full time

Job summary

Trickdogtechnology is seeking an AI Solutions Architect to lead the design and implementation of enterprise AI solutions built around NVIDIA technologies. You will bridge customer AI use cases with infrastructure, platforms, software, and services to deliver scalable AI systems.

Responsibilities include shaping architecture for Generative AI, LLMs, RAG, training, inference, and data pipelines, and guiding GPU compute, networking, and storage design across on-premises and cloud environments.

Qualifications

• 8+ years in enterprise infrastructure, cloud, data center, HPC, or solution architecture.
• Experience designing AI, GPU, HPC, or accelerated-computing environments.
• Strong knowledge of NVIDIA technologies and GPU architectures.
• Understanding of generative AI, LLMs, RAG, and inference workloads.

Responsibilities

• Lead architecture of enterprise AI solutions across compute, GPU capacity, networking, storage, data, security, and operations.
• Translate AI use cases into technical requirements and roadmaps.
• Design GPU compute clusters and high-performance networking fabrics.
• Develop AI platform architectures including Kubernetes/OpenShift and MLOps tools.
• Create architecture documentation and high-level designs for enterprise AI deployments.

Skills

AI architecture

GPU compute

NVIDIA technologies

Kubernetes

Tools

NVIDIA DGX

NVIDIA DGX SuperPOD

OpenShift

Job description

Trickdogtechnology is seeking an AI Solutions Architect to lead the design and implementation of enterprise AI solutions built around NVIDIA technologies. You will bridge customer AI use cases with infrastructure, platforms, software, and services to deliver scalable AI systems.

Responsibilities include shaping architecture for Generative AI, LLMs, RAG, training, inference, and data pipelines, and guiding GPU compute, networking, and storage design across on-premises and cloud environments.