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GenAI
GenAITalentOla • Charlotte, North Carolina, United States
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GenAI

GenAI

TalentOla • Charlotte, North Carolina, United States
[job_card.variable_days_ago]
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  • [job_card.full_time]
[job_card.job_description]

GCP GenAI Platform Engineer (Onsite role-5days)- W2 Only / No C2C

Location : Charlotte NC (Need local candidate only)

Experience Level : 10 years

Job Summary

We are seeking a skilled GCP GenAI Platform Engineer to design, deploy, and manage next-generation Generative AI (GenAI) solutions on Google Cloud Platform . The ideal candidate will have hands-on experience with GCP AI / ML services, Guardrails (Model Armor / SDP) , Terraform , and GKE , with a strong understanding of GenAI architectures and deployment best practices .

Key Responsibilities

  • Design and deploy GenAI workloads and LLM-based applications on GCP .
  • Implement GCP Guardrails (Model Armor / SDP) for secure and compliant AI operations.
  • Automate infrastructure provisioning and configuration using Terraform .
  • Manage and scale GenAI models on Google Kubernetes Engine (GKE) .
  • Collaborate with data scientists and ML engineers to operationalize LLMs.
  • Monitor performance, optimize cost, and ensure high availability of AI services.
  • Troubleshoot deployment issues, analyze logs, and enhance platform reliability.

Required Skills & Qualifications

  • Strong experience with GCP AI / ML stack , Vertex AI , and GenAI APIs .
  • Working knowledge of Terraform and GKE .
  • Proficiency in Python for scripting and automation.
  • Understanding of GenAI concepts , prompt engineering , and LLM architectures .
  • Familiarity with security, compliance, and governance in AI workloads.
  • Excellent problem-solving and collaboration skills.
  • 2️⃣ Azure GenAI Platform Engineer

    Job Summary

    We are looking for an experienced Azure GenAI Platform Engineer to build and manage AI / LLM-based applications on the Microsoft Azure GenAI ecosystem . The ideal candidate should be proficient with Azure OpenAI Service , Azure Guardrails (Content Filtering, Purview, etc.) , Terraform , and Kubernetes , with a deep understanding of GenAI concepts and enterprise-scale deployment practices.

    Key Responsibilities

  • Architect, deploy, and manage GenAI workloads using Azure OpenAI , Cognitive Services , and related tools.
  • Implement Azure Guardrails for responsible AI usage (Content Filtering, Purview).
  • Automate infrastructure setup using Terraform .
  • Deploy and manage AI microservices on Azure Kubernetes Service (AKS) or GKE .
  • Integrate LLM endpoints with enterprise applications securely.
  • Work closely with leadership and product teams to design scalable, production-ready AI solutions.
  • Required Skills & Qualifications

  • Hands-on experience with Azure OpenAI Service , Azure ML , and Azure AI Studio .
  • Proficiency in Terraform , Python , and containerized deployments ( Docker , AKS / GKE ).
  • Strong understanding of LLMs , prompt engineering , and GenAI system design .
  • Familiarity with Azure Guardrails (Purview, Content Filtering).
  • Excellent communication skills to work with technical and business stakeholders.
  • 3️⃣ OCP GenAI Platform Engineer (Red Hat OpenShift)

    Job Summary

    We are seeking an experienced OCP GenAI Platform Engineer with strong expertise in Red Hat OpenShift (OCP) and LLM deployment . The ideal candidate will have deep hands-on experience with vLLM inferencing engines , GPU-based workloads , and end-to-end deployment of large language models (LLMs) . The role requires someone who can operate independently, troubleshoot complex deployments, and collaborate directly with leadership on strategic AI initiatives.

    Key Responsibilities

  • Deploy and manage GenAI and LLM workloads on Red Hat OpenShift Platform .
  • Configure and optimize vLLM inferencing engines for GPU-based model serving.
  • Manage deployment of LLM endpoints , model tuning, and performance optimization.
  • Develop and debug deployment manifests (YAML files) and infrastructure configurations.
  • Ensure stability, scalability, and security of GenAI workloads on OCP.
  • Collaborate with AI architects and leadership to drive AI platform strategy and adoption.
  • Required Skills & Qualifications

  • Strong experience with Red Hat OpenShift Container Platform (OCP) .
  • Deep understanding of LLM internals , inference optimization , and GPU utilization .
  • Hands-on experience with vLLM , Python scripting , and YAML-based deployments .
  • Ability to troubleshoot OCP issues independently .
  • Strong collaboration and leadership communication skills.
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