InfraAI Engineer

About the job

Join EY and help to build a better working world. Designation-InfraAI Engineer 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. • Implement AI-enhanced observability by combining telemetry data with ML models. • Lead or contribute to cloud migration projects, applying AI-driven insights. • Design and maintain CI/CD pipelines for infrastructure provisioning and AI model deployment. • Collaborate with data science and platform teams to translate model requirements into scalable infrastructure. • Ensure infrastructure governance, compliance, and security by embedding DevSecOps principles. • Continuously evaluate emerging AI technologies and infrastructure tools. Desired Profile • 6+ years of experience in infrastructure engineering. • Strong hands-on experience with Azure, AWS, or GCP. • Proficient in Python for scripting, automation, and AI model integration. • Skilled in Terraform, Pulumi, or Ansible for IaC. • Experience with AI/ML platforms like Kubeflow, MLflow, Azure ML, or SageMaker. • Familiarity with containerization (Docker) and orchestration (Kubernetes). • Strong understanding of cloud security, DevSecOps, and compliance frameworks. • Excellent problem-solving, documentation, and collaboration skills. Education • B.Tech. / BS in Computer Science.