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eYantra - Azure AI Foundry Subject Matter Expert

Posted on: 01/12/2025

Job Description

Description :

Job Title : Azure AI Foundry SME (48 Years)

Location :

Role Type : Full-time

Department : AI/Cloud Engineering

Role Summary :


We are seeking an experienced Azure AI Foundry Subject Matter Expert to lead the implementation of an Agentic AI platform leveraging the Azure AI Foundry ecosystem. The role involves enabling end-to-end model provisioning, orchestration, governance, and scalable enterprise deployment patterns.

Key Responsibilities :


Azure AI Foundry Setup & Configuration :

- Set up, configure, and manage Azure AI Foundry workspaces and associated resources.

- Deploy and maintain Azure OpenAI, Azure AI Search, Vector Databases, Azure Purview, and other required services.

Model & Platform Management :


- Manage the full lifecycle of models including provisioning, endpoint creation, versioning, security, and access controls.

- Implement governance policies including RBAC, monitoring, auditing, and cost optimization.

Agentic AI Platform Development :


- Support deployment pipelines for agent-based systems and facilitate integration with MCP registry.

- Automate scaffolding and infrastructure patterns required for enterprise-scale Agentic AI platform deployments.

RAG & Optimization Work :

- Support RAG (Retrieval Augmented Generation) workflows including retrieval tuning, re-rankers, embeddings, and prompt flow optimization.

- Apply best practices for prompt engineering and model performance tuning.

Monitoring, Security & Compliance :

- Implement observability using Azure Monitor, logging, diagnostics, and alerting.

- Ensure compliance and security by leveraging Azure Key Vault, Content Safety, Purview, and governance frameworks.

Required Skills & Experience :

- 4-8 years of experience in AI/ML platform implementation or cloud-native AI engineering.

- Hands-on expertise with :
  • Azure AI Foundry
  • Azure OpenAI Service
  • Azure AI Search / Vector Search
  • Azure Purview / Governance tooling
  • RBAC, Key Vault, Azure Monitor, security & compliance practices
- Strong experience in building model orchestration pipelines, managing endpoints, and implementing enterprise AI governance.

- Proven knowledge of prompt engineering, RAG architectures, and model management best practices.



- Experience deploying and scaling production-grade AI workloads.


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