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

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).