Urgent Needed - GenAI Engineer - Charlotte, NC and New Jersey, NJ

Job Description GenAI Engineer - Job Description Location: Charlotte, NC (On-site, Remote) and New Jersey, NJ Duration: 12+ Months Contract Role Key Responsibilities • Design, implement, and maintain Infrastructure as Code (IaC) solutions using Terraform for Azure resources (Azure ML, Azure AI Studio, AKS, Databricks, etc.). • Deploy and orchestrate ML/GenAI models with CI/CD pipeline integration. • Architect multi-cloud environments (Azure primary, AWS/GCP) focusing on hybrid deployments and disaster recovery. • Optimize cloud infrastructure for AI/ML workloads (compute, storage, networking, security). • Implement MLOps practices: model versioning, monitoring, logging, and alerting. • Enforce IaC best practices: modular Terraform code, state management, drift detection, automated testing. • Troubleshoot production AI infrastructure issues ensuring high availability and compliance. • Conduct code reviews, mentor junior engineers, and document IaC patterns for ML/GenAI. • Integrate emerging Azure ML services (e.g., Azure OpenAI Service, Prompt Flow) into IaC frameworks. • Participate in on-call rotations and incident response for critical AI infrastructure. Required Qualifications • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. • 5+ years as Cloud/DevOps Engineer, with 3+ years focusing on Terraform for Azure IaC. • Proven expertise in deploying ML/GenAI models using Azure ML services. • Strong experience with multi-cloud architectures (Azure required; AWS/GCP preferred). • In-depth knowledge of IaC concepts: Terraform modules, providers, variables, workspaces, backends. • Solid understanding of ML lifecycle (data ingestion, feature engineering, model serving). • Experience with containerization and orchestration (Docker, Kubernetes, AKS, Helm). • Proficiency in scripting (Python, PowerShell, Bash). • Familiarity with security best practices (encryption, access controls, vulnerability scanning). • Excellent problem-solving skills and agile team collaboration. Preferred Qualifications • Certifications: Azure DevOps Engineer Expert, Azure AI Engineer Associate, or Terraform Associate. • Experience with ARM Templates, Bicep, or Pulumi. • Background in MLOps tools (Kubeflow, MLflow, Azure ML Pipelines). • Knowledge of cost optimization (Azure Cost Management). • Experience in regulated industries (finance, healthcare).