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Tier-1 brand and metro location increase applicant density despite senior GenAI specialization reducing competition.
Regulated banking, AI governance, and domain expertise required elevates industry-specific fit sensitivity.
Mandatory senior experience, deep Java, GenAI, cloud and banking compliance requirements make shortlisting highly stringent.
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Architect and scale next-gen GenAI-powered, Java-based distributed systems for global commercial banking.
Own foundational platform components integrating LLM-driven AI capabilities into high-throughput, mission-critical banking systems.
Lead technical strategy, influence architectural decisions, and provide expert advisory to leadership across complex, regulated environments.
7+ years engineering experience (work experience, training, military experience, or education).
Strong hands-on expertise in Java ecosystem including Spring Boot, REST APIs, microservices, concurrency, and performance tuning.
Experience delivering enterprise-scale distributed systems, preferably in regulated financial environments.
Work Experience Required: 7+ years engineering experience.
Deep expertise in Java ecosystem and modern GenAI architectures (LLMs, RAG, embeddings, agent frameworks).
Experience integrating AI services into enterprise backend platforms with cloud-native fluency (GCP, Azure).
Proven ability to influence AI platform direction and lead technical design within regulated, mission-critical banking systems.