Java Gen AI Engineer

Lead end-to-end architecture design and modernization of large-scale, distributed, cloud-native enterprise Java applications using microservices and event-driven architectures.

Drive adoption and integration of Generative AI technologies into software engineering lifecycle and enterprise applications, including designing Retrieval-Augmented Generation (RAG) systems.

Establish architectural governance, standards, and best practices; mentor technical teams; collaborate with cross-functional stakeholders to ensure high-quality delivery and strategic technology alignment.

8-12 years software engineering experience with minimum 4 years in architecture or technical leadership roles.

Proficient in Java 11/17+, Spring Boot, microservices, event-driven architecture, and cloud platforms (AWS/Azure/GCP).

Experienced with AI/GenAI tools and integration including GitHub Copilot, OpenAI Codex, Claude Code, and knowledge of RAG and LLM orchestration.

Location: All Persistent Locations; Work Experience Required: 8-12 years (4+ in architecture/leadership); Job Type: Full Time. Notice period: Not explicitly mentioned in the JD.

Experienced senior architect comfortable leading complex architecture transformations in AI-enabled, cloud-native enterprise environments with a strong Java background.

Skilled in integrating AI-powered capabilities and generative AI adoption into large-scale software products, with strategic oversight on architecture governance and cross-team collaboration.

Domain experience in Banking, Payments, Capital Markets, or Financial Services sectors with knowledge of payment standards (ISO 20022, ISO 8583) and compliance workflows preferred.