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EY Job Description
Job Title:AI Engineer - Agentic AI, Orchestration & Azure AI Foundry (Full‑Stack, Azure‑Native)
Job Rank (must note a single rank only for each job description):Supervising Associate
Function:EY Technology – Enterprise Technology
Scope (indicate either “global/cross-border” or “local/country”):Global
Sub Function:EY Technology | CBS Technology | Intelligent Automation
Reports to (Job Title):AI Engineering Lead
Job Summary:
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 (compute, storage, messaging, data, security,
and observability).
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, not isolated proofs of concept.
A key expectation of the role is to embed evaluation, quality monitoring, and runtime security into AI systems, including the use of LLM as a Judge patterns and alignment to agent lifecycle governance and runtime protection controls (e.g., Agent 365–aligned environments).
Essential Functions of the Job:
• Build Agentic AI Solutions using Azure AI Foundry (Core): Build and evolve AI applications and agents leveraging Azure AI Foundry-aligned capabilities used in the enterprise toolchain
• Deve
📌 Senior Automation and AI Developer (India)
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