Implementation Specialist (GenAI Servers)

Position: Sr. Implementation Specialist (GenAI Servers)

• Experience: 8 to 10 years
• Location: Remote (United States )
• Duration ; 12 Months

Job Description:

We are seeking a Sr. Implementation Specialist with expertise in GenAI server deployments, AI infrastructure, and large-scale AI model integration. The ideal candidate will have a strong background in AI/ML architecture, server configurations, and cloud-based AI solutions.

Key Responsibilities:

• Lead the implementation, deployment, and optimization of GenAI servers in cloud and on-prem environments.
• Work closely with AI/ML teams to support LLMs, RAG models, and AI pipelines on dedicated AI hardware.
• Manage server provisioning, performance tuning, and scaling AI workloads.
• Integrate AI models with NVIDIA GPUs, TPUs, and specialized AI accelerators.
• Optimize storage, compute, and network configurations for GenAI applications.
• Automate server setup, monitoring, and security compliance for AI-driven workloads.
• Work with MLOps and DevOps teams to streamline AI model deployments.
• Troubleshoot and resolve performance bottlenecks in distributed AI architectures.

Required Skills:

AI/ML Infrastructure Strong experience in setting up and managing GenAI servers.
Cloud Expertise Experience with AWS, Azure, Google Cloud Platform AI services, or on-prem AI clusters.
GPU/TPU Optimization Hands-on knowledge of NVIDIA CUDA, TensorRT, and AI accelerators.
Server Implementation Proficiency in Linux-based AI server deployments.
ML Model Integration Experience integrating LLMs, RAG models, and Transformer-based architectures.
Scripting & Automation Proficiency in Python, Bash, Terraform, or Ansible for AI infrastructure automation.
Performance Tuning Experience optimizing compute, memory, and network configurations for AI workloads.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.