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Lead Java AI Engineer

EPAM SystemsUnited States🇺🇸United StatesPosted 24 Aug 2026

Why This Role Stands Out

As a Lead Java AI Engineer at EPAM Systems, you'll be instrumental in shaping an innovative AI marketplace, offering significant growth and impact. This hybrid role is perfect for a seasoned backend developer with leadership experience and a passion for AI, enabling you to drive technical direction and collaborate within a dynamic team. Apply to make a tangible difference and advance your career in cutting-edge technology.

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
United States
Posted
1 week ago
AgileAzureGitJava

Job Description

We are seeking a highly skilled Lead Java AI Engineer to take ownership of a vertical slice of an AI-driven platform, ensuring seamless development, implementation, and optimization of AI-influenced features, workflows, and systems.

This role requires a hands-on approach, an AI-first mindset, and the ability to deliver high-quality solutions in a fast-paced environment. #LI-DNP Responsibilities Take full ownership of a feature set or product area, managing development from design to delivery Work within the shared .claude/ environment, maintaining settings, skills, agents, and memory structures Update and manage CLAUDE.md as the central project reference point Contribute to TASKS.md to support iterative workflows and agile development Enhance project-level AI skills such as /commit, /wrap, /merge-to-main, and /review Extend agent memory capacity while adhering to design limits Design and implement backend and frontend features and functionality Build APIs, pipelines, and environments that align with architectural standards Ensure consistency and quality in system architecture and design principles Drive the creation of production-ready code using AI-enabled review tools Optimize development processes and workflows with AI-assisted technologies Requirements Strong software engineering background with 5+ years of relevant experience At least 1 year of relevant leadership experience Expertise in Azure infrastructure, Git branching strategies, and CI/CD pipelines Knowledge of AI-first development practices and AI agent frameworks, MCP, model-context tools Proficiency in designing, implementing, and delivering fully owned vertical product slices Competency in clean code principles, scalable architecture, and system optimization Skills in gen AI-assisted development, prompt engineering, and workflow customization Excellent command of written and spoken English (B2+ level) Nice to have Background in AI architecture Familiarity with advanced AI integrations and frameworks Capability to innovate AI-enriched platform features independently

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