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EY

Senior Automation and AI Developer

EY

. The AI Engineer is responsible for building, deploying, and operating production-grade AI and Agentic AI solutions across the enterprise.

Posted 4/21/2026full-timeRemote • 🇮🇳 IndiaSeniorWebsite

Tech Stack

Tools & technologies
AzurePython

About the role

Key responsibilities & impact
  • The AI Engineer is responsible for building, deploying, and operating production-grade AI and Agentic AI solutions across the enterprise.
  • This is a hands-on engineering role focused on implementing LLM-powered applications, orchestration and multi-agent workflows, and secure API-driven integrations using Azure AI Foundry and Azure-native services.
  • The role works across the full AI lifecycle —from system design and development to production operations—ensuring solutions are secure, scalable, observable, and governed.
  • The AI Engineer partners closely with Engineering Leads, architects, data science teams, and platform/security stakeholders to translate AI use cases into reliable, enterprise ready systems.

Requirements

What you’ll need
  • A degree in Computer Science / Engineering or a related discipline; or equivalent work experience
  • 10+ years in a Global IT environment working with multiple disciplines to deliver projects in line with customer needs
  • 3+ Years Global delivery or transformation preferably in large scale infrastructure programs
  • 3+ Years in a global operations environment
  • Python Certification
  • Azure AI Services
  • Azure Data Services

Benefits

Comp & perks
  • Competitive salary
  • Health insurance
  • Flexible work hours
  • Professional development opportunities

ATS Keywords

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Hard Skills & Tools
AI solutionsAgentic AILLM-powered applicationsAPI-driven integrationssystem designdevelopmentproduction operationsscalable solutionsobservable systemsgoverned systems
Soft Skills
collaborationcommunicationproblem-solvingproject deliverycustomer needs alignment
Certifications
Python Certification