Infra AI Engineer-Senior

Overview

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.

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, 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.
  
  

• 6+ years of experience in infrastructure engineering, cloud automation, or AI-integrated operations.
• Strong hands-on experience with Azure, AWS, or GCP, including compute, networking, and ML services.
• 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) for scalable AI workloads.
• Knowledge of monitoring tools and AI-enhanced observability.
• Strong understanding of cloud security, DevSecOps, and compliance frameworks.
• Excellent problem-solving, documentation, and cross-functional collaboration skills.
  
  

• 6 years and above
  
  

• B.Tech. / BS in Computer Science
  
  

• Azure AI Engineer Associate, AWS Certified Machine Learning – Specialty, or Google Professional ML Engineer
• HashiCorp Certified Terraform Associate
• Certified Kubernetes Administrator (CKA)
  
  

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.