System Architect

EPAM Systems Inc; United States; Remote; USD 140,000 - 210,000; Full time

Job summary

EPAM Systems Inc. is seeking an experienced System Architect to lead the design of secure, scalable Azure cloud solutions and guide implementation across engineering teams.

The role focuses on distributed systems, integrations, and practical AI/GenAI capabilities on Azure to deliver business-focused outcomes. Ideal candidates will have 8–10+ years in architecture, hands-on IaC with Terraform/Bicep/ARM, and strong cloud security practices.

Qualifications

• 8–10+ years in System Architecture / Solution Architecture.
• Proven expertise in Microsoft Azure services (compute, storage, networking, security).
• Experience designing scalable, secure, reliable cloud systems.
• Understanding of distributed systems, APIs, integration patterns, and enterprise architecture.
• Hands-on with Infrastructure as Code and cloud automation tools (Terraform, Bicep, ARM).
• Experience with CI/CD and modern DevOps practices.
• Practical AI/GenAI experience on Azure (Azure OpenAI, Azure AI Services, ML) is a plus.
• Familiarity with document processing, cognitive services, LLM-based architectures.
• Knowledge of RAG patterns, vector databases/search, and AI orchestration.
• Strong communication with engineering teams and stakeholders.
• English level: B2+

Responsibilities

• Design end-to-end architecture for Azure-based cloud solutions.
• Define secure, scalable, and maintainable system designs from requirements.
• Select Azure services, integration approaches, and deployment models.
• Ensure performance, reliability, security, and cost efficiency.
• Support engineering teams during implementation and resolve technical issues.
• Contribute to cloud modernization, migration, and system integration.
• Guide infrastructure and deployment using IaC and CI/CD practices.
• Contribute to AI-enabled Azure solutions including LLM-based apps.

Skills

Azure Architecture

Distributed systems

IaC & CI/CD

AI on Azure / GenAI

LLM integration

Security & compliance

Technical leadership

English communication

Tools

Terraform

Bicep

ARM templates

Job description

We are looking for a System Architect with strong expertise in Microsoft Azure to design and guide the implementation of secure, scalable, and reliable cloud solutions. In this role, you will define system architecture, make key technical decisions, and support engineering teams throughout the delivery lifecycle. The ideal candidate has solid experience in cloud architecture, distributed systems, integrations, and modern engineering practices. Experience with AI-powered solutions on Azure is also important, especially in designing practical, business-oriented solutions using modern AI and GenAI capabilities.

Responsibilities

• Design end-to-end architecture for cloud solutions on Microsoft Azure
• Define secure, scalable, and maintainable system designs based on business and technical requirements
• Select appropriate Azure services, integration approaches, and deployment models
• Ensure architecture meets non-functional requirements such as performance, reliability, security, and cost efficiency
• Support engineering teams during implementation and help resolve complex technical issues
• Contribute to cloud modernization, migration, and system integration initiatives
• Guide infrastructure and deployment approaches using Infrastructure as Code and CI/CD practices
• Contribute to the design of AI-enabled solutions on Azure, including intelligent automation, document processing, and LLM-based applications where relevant
• Promote architecture best practices and provide technical leadership across teams

Requirements

• 8-10+ years of experience in System Architecture / Solution Architecture
• Expertise in Microsoft Azure, including compute, storage, networking, security, and integration services
• Proven experience designing scalable, secure, and reliable cloud-based systems
• Understanding of distributed systems, APIs, integration patterns, and enterprise architecture principles
• Hands-on experience with Infrastructure as Code and cloud automation tools such as Terraform, Bicep, or ARM templates
• Experience with CI/CD and modern DevOps practices
• Practical experience with AI and GenAI solutions on Azure, including Azure OpenAI, Azure AI Services, and Azure Machine Learning
• Familiarity with intelligent document processing, cognitive services, and LLM-based application architecture
• Knowledge of RAG patterns, vector databases/search, and AI orchestration approaches
• Strong communication skills and ability to work effectively with both engineering teams and stakeholders
• English level: B2+
• Nice to have Microsoft certifications such as AZ-305, AZ-104, AI-102, and DP-100
• Experience with data platforms, analytics, and MLOps
• Experience in consulting, outsourcing, or enterprise digital transformation projects
• Participation in technical communities, public speaking, hackathons, or innovation programs