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Job Description – Manager (Cloud AI Platform Engineer)
Experience: 10–13 years
Role Overview:
The Manager will play a pivotal role in building and scaling EY GDS's AI Strategy & Transformation practice. This leadership role combines hands-on cloud and AI platform engineering expertise with consulting excellence, driving end-to-end AI platform implementation, infrastructure modernization and enterprise deployment programs while managing senior client relationships and CxO engagements. The position demands deep technical implementation skills in AI platform and infrastructure engineering, multi-cloud architecture, automation and deployment engineering,



MLOps enablement and operationalization of AI workloads alongside proven program leadership across industries like BFSI, manufacturing and regulated sectors.

Key Responsibilities:
AI Platform & Infrastructure Engineering Leadership

Lead the design and implementation of enterprise AI platforms that support AI/ML, GenAI, Agentic AI and RAG workloads across hybrid and multi-cloud environments.
Architect scalable cloud-native AI foundations using AWS SageMaker and Bedrock, Azure ML and Azure OpenAI, GCP Vertex AI and enterprise Kubernetes platforms such as EKS, AKS and GKE.
Build secure and resilient infrastructure for AI model development, training, deployment and runtime operations including compute, GPU environments, storage, networking, secrets management and access control.
Design reusable platform services for model hosting, inference endpoints, vector databases, prompt orchestration, agent runtime support and enterprise API integration.
Establish platform observabi

📌 Tech S And T-Cloud AI Platform Engineer-ISR-Senior-G (Noida)
🏢 EY
📍 Noida