Infra AI Engineer-Senior
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Job Description
- Design and implement AI-integrated infrastructure solutions across cloud platforms (Azure, AWS, GCP), enabling predictive automation, intelligent scaling, and self-healing capabilities.
- Develop and deploy Python-based automation scripts and ML models for infrastructure use cases such as anomaly detection, capacity forecasting, and auto-remediation.
- Integrate AI/ML tools like Kubeflow, MLflow, Azure Machine Learning, Amazon SageMaker, and TensorFlow Serving into infrastructure pipelines and operational workflows.
- Build and manage Infrastructure as Code (IaC) using Terraform, Pulumi, or Ansible, ensuring modular, reusable, and version-controlled infrastructure components.
- Implement AI-enhanced observability by combining telemetry data with ML models to detect patterns, reduce alert noise, and predict failures using tools like Prometheus, Grafana, ELK Stack, and OpenTelemetry.
- Lead or contribute to cloud migration projects, applying AI-driven insights for workload placement, performance tuning, and post-migration optimization.
- Design and maintain CI/CD pipelines for infrastructure provisioning and AI model deployment using Azure DevOps, GitHub Actions, or GitLab CI/CD.
- Collaborate with data science and platform teams to translate model requirements into scalable, secure, and cost-efficient infrastructure.
- Ensure infrastructure governance, compliance, and security by embedding DevSecOps principles and automating policy enforcement.
- Continuously evaluate emerging AI technologies and infrastructure tools to improve automation, reliability, and operational efficiency.