Solution Architect - Azure

EPAM Systems; Chennai District; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

EPAM Systems seeks an experienced Solution Architect - Azure with AI to lead design and delivery of scalable, AI-driven solutions in the Azure ecosystem. You will drive architecture strategy, mentor teams, and partner with product managers to translate business needs into robust GenAI platforms.

The role focuses on building end-to-end Azure AI solutions, including RAG-based apps, NLP workflows, and integration with enterprise systems. Strong leadership and deep cloud expertise are required.

Qualifications

• 12-16 years of software engineering experience.
• Expertise in building scalable Azure-based AI solutions and GenAI platforms.
• Proficiency with IaC (Bicep/ARM) and CI/CD pipelines.

Responsibilities

• Provide end-to-end technical leadership from solution design to implementation.
• Design architecture blueprints for GenAI platforms on Azure.
• Lead RAG-based apps, AI automation, and intelligent interfaces on Azure.
• Guide engineering teams to deliver high-quality, scalable solutions.

Skills

Azure

GenAI

Python

C#.NET

CI/CD

IaC

Bicep/ARM

Web APIs

FastAPI

LangChain

Semantic Kernel

Azure OpenAI

RAG

Azure DevOps

Distributed Systems

Tools

AKS (Kubernetes)

SonarCloud

Job description

We are seeking an experienced Solution Architect - Azure with AI to lead the design and delivery of scalable, AI-driven solutions within the Azure ecosystem. The ideal candidate will bring deep technical expertise, strong leadership skills, and a passion for building innovative GenAI platforms that align with business goals and long-term architecture strategy

Responsibilities

• Provide end-to-end technical leadership from solution design to implementation, ensuring alignment with business goals and long-term architecture strategy
• Collaborate closely with Product Managers and stakeholders to refine user stories and translate business requirements into scalable AI-driven solutions
• Design and develop architecture blueprints, including system design, integration strategies, and solution components for GenAI platforms
• Lead the development and deployment of RAG-based applications, AI automation solutions, and intelligent interfaces within the Azure ecosystem
• Define and implement best practices for performance, scalability, security, and cost optimization across AI and cloud solutions
• Guide and mentor engineering teams, ensuring high-quality code, adherence to standards, and effective delivery
• Drive integration with enterprise systems using APIs, Microsoft Graph, and other external services
• Contribute to technical decision-making, risk assessment, and mitigation strategies while ensuring successful delivery of complex AI solutions

Requirements

• 12-16 years of experience in software engineering
• Expertise in designing and building scalable applications on Azure cloud using Azure Functions, Web Apps, API Management and Azure DevOps
• Hands-on experience with Generative AI solutions including Azure OpenAI, prompt engineering and implementation of Retrieval Augmented Generation (RAG) using Azure AI Search
• Background in building and integrating AI-driven applications such as chatbots, automation workflows and NLP-based systems
• Proficiency in Infrastructure as Code (IaC) using Bicep or ARM templates along with strong understanding of CI/CD pipelines and DevOps practices
• Solid programming skills in Python or C#/.NET with exposure to frameworks like FastAPI or Web APIs
• Competency in designing unstructured data pipelines including data ingestion, transformation, enrichment and indexing for AI-driven applications
• Understanding of distributed system design, scalability, performance optimization and monitoring using Azure Application Insights
• Familiarity with agentic frameworks, orchestration tools (e.g., LangChain, Semantic Kernel) or multi-agent systems

Nice to have

• Experience with Kubernetes or container-based deployments (AKS)
• Exposure to multi-region deployments and high-availability architecture
• Familiarity with SonarCloud or similar code quality tools
• Background in product-based or platform engineering environments