Java Lead GEN AI Developer

2 days ago


Pune, Maharashtra, India Atos Full time ₹ 8,00,000 - ₹ 16,00,000 per year
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Java Lead GEN AI Developer

Publication Date: Nov 12, 2025

Ref. No: 536515

Location:
Pune, IN

Job Title: Java Tech Lead – GenAI Developer Experience: 8–14 years Role Overview We are seeking an experienced Java Tech Lead to lead enterprise-grade R&D initiatives focused on building GenAI-powered developer productivity tools. The role emphasizes designing scalable, secure, and high-performing Java architectures while integrating GenAI capabilities into enterprise developer ecosystems (IDEs, CI/CD pipelines, and cloud platforms). Key Responsibilities
• Enterprise Architecture: Define robust, scalable architectures for GenAI-based developer productivity tools (plugins, services, APIs).
• IDE & Ecosystem Integration: Lead design and integration of IntelliJ/Eclipse plugins with enterprise workflows, ensuring compliance with corporate standards.
• Platform Scalability & Security: Architect solutions aligned with enterprise-grade performance, security, and governance requirements.
• Cross-Functional Collaboration: Work with product, security, and platform engineering teams to align tools with enterprise IT strategies.
• Cloud & DevOps Enablement: Integrate GenAI tools within CI/CD pipelines, containerized environments, and cloud-native ecosystems.
• Governance & Compliance: Ensure solutions adhere to data privacy, auditability, and industry security regulations.
• Mentorship & Leadership: Guide development teams, conduct design reviews, and enforce enterprise architecture best practices.
• Continuous Improvement: Gather enterprise-wide developer feedback and refine tools for maximum adoption and ROI. Skills & Qualifications Java Architecture: Deep expertise in Java/J2EE, Spring, and enterprise-scale system design. IDE Plugin Development: Strong background in IntelliJ/Eclipse plugin development, integration with enterprise developer workflows. Generative AI & LLMs: Applied knowledge of integrating LLMs (OpenAI, HuggingFace, LangChain, etc.) into enterprise applications. Enterprise Systems: Good to have experience with enterprise middleware, and developer platform integration. Cloud & DevOps: Hands-on with AWS/Azure/GCP, Kubernetes, Docker, CI/CD pipelines. Security & Compliance: Strong understanding of data privacy (GDPR), enterprise security, and compliance standards. Collaboration: Ability to engage with cross-regional teams in French and English. Leadership: Proven track record of leading multi-disciplinary teams in large organizations.


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