Java Gen AI Engineer
Persistent Systems Limited (company site, opens in a new tab)8–12 yrsPuneHybridDirect career pageEst. 28–45 LPA
Posted on 9 Sept
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Job description
Structured overview of role & requirements
About This Role
- 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.
Minimum Requirements
- 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.
Ideal Candidate Profile
- 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.