Gen AI Azure Tech Architect

Solution Architect

strong communicator

Key Responsibilities:

• Architect scalable and secure AI and cloud-native solutions using Microsoft Azure services.


• Lead the design and implementation of

  AI/Gen AI applications

  , including: Document extraction and analysis using

  Azure Document Intelligence

  .


• Language model integration using

  Azure OpenAI

  .


• Building

  RAG pipelines

  , custom embeddings, and vector store integrations.


• Implementing agentic frameworks like

  Langchain, LlamaIndex, LangGraph, or CrewAI

  .


• Collaborate closely with product owners, business stakeholders, and engineering teams to gather requirements and define solution blueprints.


• Guide the engineering team through implementation phases, providing technical leadership and mentorship.


• Own end-to-end architecture decisions including data flow, security, observability, and scalability.


• Prototype solutions and lead rapid development of POCs to validate approaches.


• Ensure integration with broader enterprise systems and coordinate with other service lines as needed.


• Support performance tuning, cost optimization, and monitoring using tools like

  Azure Monitor

  .

Required Skills and Experience:

Cloud Expertise (Azure):

• Strong experience with Azure Functions, Azure App Services, Azure Blob Storage, Azure Service Bus, Azure Monitor.


• Proven ability to build secure and scalable microservices and event-driven architectures on Azure.

AI & Generative AI:

• Hands-on experience with

  Azure OpenAI Service

  .


• Expertise in

  Azure Document Intelligence

  for document parsing and extraction.


• In-depth knowledge of

  RAG architecture

  , embeddings, vector databases.


• Proficient in

  Langchain, LlamaIndex

  , and at least one orchestration framework like

  LangGraph or Crew AI

  .


• Knowledge of chatbot development and multi-agent systems.

Architecture & Communication:

• Strong communication and interpersonal skills to interact with customers, present solutions, and align on priorities.


• Experience leading cross-functional teams and working across service lines.


• Ability to balance hands-on development and high-level architectural thinking.

Preferred Qualifications:

• 10+ years of overall experience in IT, with at least 5 years in solution architecture.


• 2+ years of experience in AI/Gen AI space.


• Certifications in Azure (e.g., Azure Solutions Architect Expert).