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Tier-1 brand, metro location, and visible backend+AI role attract many qualified applicants.
Enterprise banking, compliance, and AI governance emphasis increases role specificity but core Java/AI skills remain transferable.
Explicit 7+ years, Principal title, regulated banking and specific Java+GenAI stack require strict filters.
Own and architect enterprise-grade AI systems integrating LLM-driven capabilities into high-throughput, mission-critical Java-based banking platforms.
Lead strategy and resolution of complex technical challenges across multiple enterprise areas, influencing architectural decisions and providing expert advisory to leadership.
Deploy production-grade GenAI applications with secure, compliant Open Banking APIs and AI governance frameworks embedded into commercial banking platforms.
7+ years of engineering experience demonstrated through work, training, military experience, or education.
Strong hands-on expertise in Java ecosystem including Spring Boot, REST APIs, microservices, concurrency, and performance tuning.
1-2 years practical experience delivering GenAI systems involving LLM applications, RAG architectures, embeddings/vector databases, or agent frameworks.
Experience with cloud-native platforms such as GCP or Azure and familiarity with banking/financial services domains.
Proven ability to design and lead development of large-scale distributed systems in production environments with regulated, mission-critical requirements.
Experience integrating advanced AI technologies into legacy Java systems within financial services, with understanding of AI governance and risk frameworks.
Strategic and technical influence with senior leadership, capable of driving AI platform direction and mentoring engineering teams.