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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
Develop Orchestration & Multi‑Agent Systems (Core): Implement orchestration layers to coordinate tools/agents across multi-step tasks, including multi-agent workflows for specialized sub-tasks and coordinated execution.
Full‑Stack Engineering + API Development (Core): Build end-to-end AI experiences (UI where applicable), backe

📌 AI Engineer-Agentic AI-Orchestration And Azure AI Foundry-Full‑Stack-Azure‑Native (Gurugram)
🏢 EY
📍 Gurugram