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Tier-1 bank brand plus broad GenAI-Java skillset yields medium competition for senior specialized candidates.
Requires banking domain, regulated environment, and GenAI governance expertise, limiting cross-industry transferability.
Senior 7+ years requirement with mandatory Java and GenAI banking experience enforces strict candidate filters.
Own foundational platform components integrating LLM-driven AI capabilities into high-throughput, mission-critical Java-based banking systems.
Lead strategy and resolution of complex challenges across enterprise banking AI platforms, influencing architectural decisions and delivering scalable, secure solutions.
Deploy production-grade GenAI applications, including RAG pipelines and agent orchestration layers, aligned with commercial banking product strategy and regulatory compliance.
7+ years of engineering experience or equivalent demonstrated via work, training, military, or education.
Strong hands-on expertise in Java ecosystem including Spring Boot, REST APIs, microservices, concurrency, and performance tuning.
Experience delivering GenAI systems with LLMs, RAG architectures, embeddings/vector DBs, and agent frameworks (1-2 years preferred).
Experience working within regulated financial services environments or banking domains not explicitly mentioned but implied.
Deep expertise combining Java-based distributed systems engineering with modern GenAI architectures in regulated environments.
Proven ability to lead AI platform design and architecture at scale, influencing complex systems and integrating AI into enterprise backend platforms.
Experience integrating AI governance, risk, and model validation frameworks within banking or financial services contexts, with strong stakeholder engagement skills.