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).