Lead System Engineer - Microsoft Azure with Gen AI

• EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi\-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting\-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.*

We are hiring a **Lead Cloud Engineer** to design, build, and drive **enterprise\-scale Microsoft Azure platforms with deeply integrated AI capabilities**, including advanced Generative AI and Agentic AI solutions.

In this role, you will serve as a technical authority responsible for shaping cloud architecture strategy, leading DevOps and platform engineering transformations, and pioneering the adoption of next\-generation AI technologies across the organization. You will collaborate closely with executive stakeholders, engineering teams, and business units to deliver secure, scalable, and resilient systems that power mission\-critical workloads and unlock new AI\-driven business value.

• *Responsibilities**

• Architect end\-to\-end cloud and AI solutions on Azure, ensuring alignment with enterprise strategy, compliance standards, and long\-term scalability goals
• Design highly scalable, secure, and resilient systems capable of supporting mission\-critical workloads across multiple business units and geographies
• Lead DevOps transformation initiatives and establish modern platform engineering practices that improve developer productivity and operational efficiency
• Define and enforce best practices for CI/CD pipelines, Infrastructure as Code, security controls, and governance frameworks across the engineering organization
• Develop multi\-region, high\-availability architectures with robust disaster recovery, failover strategies, and performance optimization
• Spearhead the adoption of AI\-driven solutions across business units by identifying high\-impact use cases and guiding implementation from concept to production
• Design and deliver enterprise\-grade Generative AI platforms, integrating LLMs, agentic workflows, and retrieval\-augmented generation capabilities at scale
• Drive AI strategy and adoption by partnering with leadership to define roadmaps, evaluate emerging tools, and align AI investments with business outcomes
• Foster a culture of innovation through proof\-of\-concept initiatives, technology evaluations, and the introduction of emerging cloud and AI technologies
• Collaborate with stakeholders, architects, and leadership teams to translate complex business requirements into actionable technical designs
• Mentor and guide engineering teams, providing technical leadership, code reviews, and architectural guidance to elevate overall team capability
• Own the lifecycle of large\-scale enterprise systems, including design, deployment, monitoring, optimization, and continuous improvement

• *Requirements**

• 8\+ years of progressive experience in cloud engineering, systems architecture, and large\-scale platform delivery
• At least 1 year of relevant leadership experience
• Expert\-level proficiency in Microsoft Azure, including compute, storage, identity, networking, and platform services
• Deep expertise in Kubernetes, Azure Kubernetes Service (AKS), and Docker container orchestration for production workloads
• Advanced knowledge of cloud networking, security architecture, and governance frameworks across enterprise environments
• Skills in large\-scale Infrastructure as Code design and implementation using Terraform, Bicep, and ARM templates
• Background in DevOps maturity models, CI/CD pipeline design, and platform engineering practices that enable self\-service developer experiences
• Competency in OS administration across Windows and Linux environments, along with proficiency in scripting languages for automation
• Expertise in Generative AI fundamentals, Agentic AI concepts (multi\-agent systems, orchestration), and Agentic Workflows for enterprise use cases
• Understanding of Retrieval\-Augmented Generation (RAG) architectures at scale, including vector databases, embeddings, and prompt engineering
• Hands\-on experience with Azure AI Foundry and LLM integrations such as OpenAI and Claude for production\-grade applications
• Familiarity with AI orchestration frameworks, including Semantic Kernel (preferred), LangChain/LangGraph, and CrewAI
• Strong architecture and leadership skills with a proven track record of owning and evolving large\-scale enterprise systems end\-to\-end
• Proficient communication skills in English (B2 level or higher)

• *We offer**

• Opportunity to work on technical challenges that may impact across geographies
• Vast opportunities for self\-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications
• Opportunity to share your ideas on international platforms
• Sponsored Tech Talks \& Hackathons
• Unlimited access to LinkedIn learning solutions
• Possibility to relocate to any EPAM office for short and long\-term projects
• Focused individual development
• Benefit package:

+ Health benefits

+ Retirement benefits

+ Paid time off

+ Flexible benefits

• Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)