Job Title: LLM Platform Engineer
Location: Charlotte NC (Onsite)
Required Skills:
On-premise requirements: (Arize AI Claude Cowork GCP Terraform) Nvidia GPU Environment
Primary Skills
- OpenShift Functions
- OpenShift AI
- Kubernetes
- LLM Deployment & Serving
- GCP
- Terraform
- Arize AI
- Claude Cowork
Key Responsibilities
- Deploy configure and manage LLM workloads in on-premise OpenShift environments.
- Design scalable AI/ML infrastructure using OpenShift Functions and Kubernetes.
- Build and optimize enterprise-grade GenAI platforms for inference workloads.
- Implement model deployment scaling and monitoring strategies for LLMs.
- Integrate observability and AI monitoring using Arize AI.
- Automate infrastructure provisioning and platform management using Terraform.
- Collaborate with AI/ML engineering teams to operationalize LLM solutions.
- Support hybrid cloud integrations with GCP-based services where applicable.
- Troubleshoot performance bottlenecks in GPU-enabled environments.
Required Qualifications
- Strong hands-on experience with OpenShift/OCP and Kubernetes.
- Experience deploying and managing LLMs in enterprise environments.
- Understanding of AI/ML serving architectures and inference optimization.
- Experience with Terraform and infrastructure automation.
- Knowledge of AI observability and monitoring platforms.
- Familiarity with GenAI ecosystems and enterprise AI workflows.
- Experience with GPU orchestration and NVIDIA-based AI infrastructure.
Job Title: LLM Platform Engineer Location: Charlotte NC (Onsite) Required Skills: On-premise requirements: (Arize AI Claude Cowork GCP Terraform) Nvidia GPU Environment Primary Skills OpenShift Functions OpenShift AI Kubernetes LLM Deployment & Serving GCP Terraform Arize AI Claude Cowork K...
Job Title: LLM Platform Engineer
Location: Charlotte NC (Onsite)
Required Skills:
On-premise requirements: (Arize AI Claude Cowork GCP Terraform) Nvidia GPU Environment
Primary Skills
- OpenShift Functions
- OpenShift AI
- Kubernetes
- LLM Deployment & Serving
- GCP
- Terraform
- Arize AI
- Claude Cowork
Key Responsibilities
- Deploy configure and manage LLM workloads in on-premise OpenShift environments.
- Design scalable AI/ML infrastructure using OpenShift Functions and Kubernetes.
- Build and optimize enterprise-grade GenAI platforms for inference workloads.
- Implement model deployment scaling and monitoring strategies for LLMs.
- Integrate observability and AI monitoring using Arize AI.
- Automate infrastructure provisioning and platform management using Terraform.
- Collaborate with AI/ML engineering teams to operationalize LLM solutions.
- Support hybrid cloud integrations with GCP-based services where applicable.
- Troubleshoot performance bottlenecks in GPU-enabled environments.
Required Qualifications
- Strong hands-on experience with OpenShift/OCP and Kubernetes.
- Experience deploying and managing LLMs in enterprise environments.
- Understanding of AI/ML serving architectures and inference optimization.
- Experience with Terraform and infrastructure automation.
- Knowledge of AI observability and monitoring platforms.
- Familiarity with GenAI ecosystems and enterprise AI workflows.
- Experience with GPU orchestration and NVIDIA-based AI infrastructure.
View more
View less