AI Solution Architect

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