TL;DR

Principal GenAI and Azure Solution Architect (GenAI): Architecting secure, scalable, cloud-native solutions using Azure services and implementing production-grade GenAI solutions with an accent on application modernization, architecture governance, and integrating agentic components. Focus on applying advanced architectural patterns and driving GenAI adoption aligned to enterprise standards and value outcomes.

Location: Gurgaon, India. Flexible work arrangements, including remote work and flexible hours, are available.

Company

%hirify_global% is a global business and technology transformation partner, helping organizations accelerate their dual transition to a digital and sustainable world.

What you will do

Architect secure, scalable, cloud-native solutions using Azure services (App Services, Functions, AKS, Event Grid/Event Hub, API Management, etc.).
Lead application modernization and migration programs from on-premise or legacy platforms to Azure.
Apply architectural patterns such as microservices, serverless, event-driven, and domain-driven design.
Architect and implement GenAI solutions using frameworks such as LangChain, LangGraph, AutoGen, crewAI, and the OpenAI Agent SDK.
Design production-grade AI solutions such as intelligent document processing, automated content generation, enterprise search assistants, and multi-agent systems.
Integrate agentic components into enterprise applications with monitoring, observability, human-in-the-loop flows, and feedback loops.

Requirements

14–18 years of experience in cloud architecture, enterprise applications, and/or AI/ML engineering.
Strong hands-on experience in Azure cloud services, networking, security, and infrastructure.
Practical experience with GenAI frameworks (LangChain, LangGraph, AutoGen, crewAI, OpenAI Agent SDK).
Proficiency in Python for AI/ML development; familiarity with REST, GraphQL, and APIs.
Solid experience with LLMs, RAG workflows, prompt design, vector databases, and embeddings.
Background in microservices, serverless architectures, and distributed systems.
Working knowledge of CI/CD pipelines, version control, automation, and MLOps concepts.

Culture & Benefits

Flexible work arrangements, including remote work and flexible hours, to maintain a healthy work-life balance.
Career growth programs and diverse professions designed to support exploring opportunities.
Opportunity to equip yourself with valuable certifications in the latest technologies such as Generative AI.