Solution Architect - Azure

EPAM Systems; Bengaluru; On-site; INR 3,000,000 - 4,200,000; Full time

Job summary

EPAM Systems seeks an experienced Solution Architect - Azure with AI to lead design and delivery of scalable, AI-powered solutions on Azure. You will own architecture decisions, mentor teams, and drive GenAI programs including RAG-based apps and AI automation.

Deep expertise in Azure services, OpenAI integration, and API-driven design is required. Responsibilities include aligning tech with business goals, refining user stories with product managers, and ensuring secure, performant deployments

Qualifications

• 12–16 years of software engineering experience.
• Strong design skills for scalable Azure cloud applications.
• Hands-on with Generative AI, Azure OpenAI, and RAG implementations.
• Experience building AI-driven chatbots, automation, and NLP systems.
• Proficiency with IaC (Bicep/ARM) and CI/CD pipelines.
• Proven ability to lead engineering teams and deliver complex AI solutions.

Responsibilities

• Provide end-to-end technical leadership from design to delivery.
• Collaborate with product managers to refine requirements into scalable AI solutions.
• Create architecture blueprints covering system design and integration.
• Lead development and deployment of RAG-based apps and AI automation on Azure.
• Establish best practices for performance, security, and cost optimization.
• Mentor teams and ensure high-quality code and engineering standards.
• Drive integration with enterprise systems via APIs and Microsoft Graph.
• Contribute to risk assessment and mitigation strategies for AI solutions.

Skills

Technical leadership

Azure cloud architecture

GenAI platforms

Solution design

RAG-based design

API integration

Distributed systems

CI/CD practices

LangChain / Semantic Kernel

Python / C#/.NET

Tools

Azure Functions

Web Apps

API Management

Azure DevOps

Azure OpenAI

Azure AI Search

LangChain

Semantic Kernel

Bicep

ARM templates

Python

C# / .NET

Kubernetes (AKS)

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