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Senior, specialized Azure+GenAI lead role reduces applicant density despite EPAM's brand.
Deep Azure platform, AKS, IaC, and enterprise GenAI requirements limit cross-industry transferability.
Explicit 8+ years and mandatory Azure, AKS, IaC, and Generative AI skills create stringent filters.
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Architect and lead design of scalable, secure, enterprise Microsoft Azure cloud platforms integrated with advanced Generative and Agentic AI solutions.
Drive DevOps and platform engineering transformations, establishing CI/CD, Infrastructure as Code, and governance best practices.
Collaborate with leadership and stakeholders to define AI strategy, develop enterprise-grade AI platforms, mentor teams, and manage lifecycle of large-scale enterprise systems.
Minimum 8 years of cloud engineering and systems architecture experience with at least 1 year in leadership.
Expert-level Microsoft Azure skills including AKS, networking, security, and platform services.
Proven experience with Kubernetes, Terraform/Bicep/ARM for Infrastructure as Code, and DevOps maturity models.
Strong Generative AI knowledge including LLM integration, Agentic AI concepts, and retrieval-augmented generation architectures.
Experienced leader skilled in cloud architecture and platform delivery for enterprise-scale systems across multiple geographies and business units.
Deep technical authority with hands-on knowledge of advanced AI integration on Microsoft Azure, including production-grade implementation of LLMs and AI orchestration frameworks.
Strategic collaborator who partners with leadership to align AI and cloud investments with business outcomes and drives innovation through pilot projects and team mentoring.