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GEN AI Architect

GEN AI Architect

ITC Infotechnavi mumbai, maharashtra, in
11 hours ago
Job description

We are seeking an experienced Generative AI Architect to design and implement enterprise-grade AI solutions centered around Knowledge Mining , Document Validation , and Contract Intelligence . The ideal candidate will leverage the Azure AI ecosystem —including Azure OpenAI, Azure Document Intelligence, Cognitive Search, and Azure Functions —to build scalable, secure, and high-performing AI systems.

Key Responsibilities

1. Solution Architecture & Design

  • Design and architect Generative AI-based Knowledge Mining systems using Azure OpenAI, Cognitive Search, and vector databases.
  • Define end-to-end RAG (Retrieval-Augmented Generation) pipelines for intelligent document querying and contextual answering.
  • Architect document validation workflows using Azure Document Intelligence (Form Recognizer) for structured and unstructured data extraction.
  • Design contract validation pipelines to extract obligations, risks, clauses, and compliance information from legal documents.
  • Ensure system scalability through distributed processing and asynchronous workflows using Azure Functions, Service Bus, and Event Grid.
  • Build and integrate LLM-based reasoning systems for document verification, summarization, and anomaly detection.

2. Governance, Performance, and Security

  • Define governance models for data privacy, ethical AI, and secure prompt management.
  • Optimize system latency, throughput, and token efficiency for real-time or near-real-time processing.
  • Implement RBAC (Role-Based Access Control) and API management using Azure AD, API Management, and Managed Identities.
  • Expertise in Feedback loops & Models Evaluations
  • Architectural Skills

  • Expertise in microservices and serverless architectures .
  • Experience designing high-availability, scalable AI systems .
  • Familiarity with observability, monitoring, and telemetry in Azure (App Insights, Log Analytics).
  • Strong understanding of data pipelines and ETL frameworks (ADF, Synapse, or custom Python).
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