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).
Ai Architect • Kakinada, Andhra Pradesh, India