Roles and Responsibilities
Design and implement technical architecture connecting Data Management, Governance, AI Agents, and Application layers.
Lead technical development of enterprise AI Agent Workforces, designing state management, logging, and error-handling workflows.
Implement vector search, semantic search, and knowledge mining platforms using Azure AI Search.
Build data engineering pipelines and machine learning models on Azure Databricks.
Drive model evaluation frameworks, prompt engineering, and post-training optimization for custom LLMs.
Enforce responsible AI standards, data security, and enterprise governance across all deployments.

Preferred Candidate Profile
Work Experience: 8+ years total software development experience, with 4+ years in an AI/ML Architect role and 3+ years in Azure cloud services.
Educational Background: Bachelor degree in Computer Science, Engineering,



Data Science, or related field (Master degree in CS/AI/ML or MBA preferred).
Core Technical Expertise: Azure AI Foundry, Azure OpenAI (GPT models), Azure AI Search, Azure Databricks, Python/C#/SQL.
Preferred Exposure: MLOps, Azure Machine Learning, Docker, Kubernetes, Vector DBs (Cosmos DB, Pinecone, Weaviate), PyTorch/TensorFlow.

Mandatory Key-Skills : Azure AI Foundry, Azure OpenAI, Vector Search / Semantic Search, Azure Databricks, AI Agents / Agentic Frameworks, Python, Prompt Engineering, Model Fine-Tuning, LLM Evaluation, C#, SQL

Please note- This role is based out of in Mumbai, Goregaon East, please do apply only if you are able to relocate or residing nearby

📌 Ai Solution Architect Mumbai
🏢 SG Analytics
📍 Mumbai