About the Job/Role

We are looking for a Solution Architect with deep expertise in Microsoft Azure and AI/Generative AI solutions. The role involves architecting and implementing enterprise-grade, scalable, and secure AI/Gen AI solutions using Azure services and modern AI paradigms. The candidate will collaborate with clients and cross-functional teams, lead technical delivery, and drive proof-of-concept (POC) initiatives.

Roles & Responsibilities

Architect scalable, secure AI and cloud-native solutions using Microsoft Azure services.
Lead design and implementation of AI/Gen AI applications including:
- Document extraction and analysis using Azure Document Intelligence.
- Language model integration using Azure OpenAI Service.
- Building RAG pipelines, custom embeddings, and vector store integrations.
- Implementing agentic frameworks like Langchain, LlamaIndex, LangGraph, or CrewAI.
Collaborate with product owners, business stakeholders, and engineering teams to define solution blueprints.
Provide technical leadership and mentorship to engineering teams during implementation.
Own end-to-end architecture decisions including data flow, security, observability, and scalability.
Prototype solutions and lead rapid POCs to validate approaches.
Ensure integration with broader enterprise systems and coordinate with other service lines.
Support performance tuning, cost optimization, and monitoring using tools like Azure Monitor.

Required Qualifications

Cloud Expertise (Azure): Strong experience with Azure Functions, Azure App Services, Azure Blob Storage, Azure Service Bus, and Azure Monitor. Proven ability to build secure and scalable microservices and event-driven architectures.
AI & Generative AI: Hands-on experience with Azure OpenAI Service, Azure Document Intelligence, RAG architecture, embeddings, vector databases, Langchain, LlamaIndex, and at least one orchestration framework like LangGraph or CrewAI. Knowledge of chatbot development and multi-agent systems.
Architecture & Communication: Strong communication and interpersonal skills to interact with clients, present solutions, and align priorities. Experience leading cross-functional teams and balancing hands-on development with high-level architectural thinking.

Preferred Qualifications

Experience: 10+ years in IT, including at least 5 years in solution architecture; 2+ years in AI/Gen AI.
Certifications: Azure certifications (e.g., Azure Solutions Architect Expert).

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