GEN AI Architect

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).