Vladimir Silickiy

Experience

1. Ai Qe Architect Ai-enabled Quality Engineering Lead

   EPAM Systems

   Nov 2022 — Present · US

   QA Architect / AI-Enabled Quality Engineering LeadI lead enterprise Quality Engineering across 14+ healthcare applications covering web, mobile, API, AI/LLM, Big Data, analytics, and BI reporting. I manage 5 QA teams (45+ engineers) and drive AI-enabled transformation across mission-critical healthcare systems.I architected and rolled out a shared AI-enabled QA platform built on Playwright, Java, Kiro, and Claude Code, standardizing agent-based QA workflows across multiple teams and products. This includes AI-assisted story analysis, test case generation, automation support, execution, failure triage, bug drafting, and release-readiness workflows.My work focuses heavily on LLM-driven testing: prompt/config management, regression evaluation, hallucination monitoring, business-boundary enforcement, safety guardrails, and consistency validation across model updates. I also apply multi-agent orchestration concepts to improve QE efficiency, traceability, and delivery speed.In parallel, I lead Big Data and Data Analytics QA across layered healthcare pipelines, validating ingestion flows, schema transformations, Snowflake reconciliation, KPI accuracy, Power BI dashboards, and AI answer validation against trusted data sources.I integrate AI-powered validation into CI/CD and Azure DevOps workflows to improve release control, quality evidence, and operational consistency. My focus is building scalable quality architecture that supports rapid product growth while maintaining reliability, safety, and performance across distributed, data-intensive, and AI-driven systems.