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Tier-1 brand and seniority concentrate qualified applicants moderately.
Deep LLM, generative AI, Java fullstack expertise and banking preference limit cross-industry transferability.
Explicit 12+ years VP level and mandatory GenAI, Java fullstack, and ML stack requirements create high selectivity.
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Lead end-to-end engineering of scalable enterprise Generative AI solutions leveraging Java Full-stack and Python frameworks.
Design and implement robust AI models, APIs, and integrate AI services within existing enterprise systems.
Ensure application resiliency, security, operational stability, and adherence to software development best practices in AI initiatives.
12+ years of software engineering experience including significant Generative AI focus.
Mandatory hands-on experience in Java Full-stack development and expert-level Python proficiency with frameworks like FastAPI, Django, Flask, or PySpark.
Bachelor's degree required; Master's degree preferred in Computer Science, Artificial Intelligence, or related technical field.
Experience with core AI concepts, generative AI orchestration tools (e.g., Google ADK, LangChain), machine learning frameworks (TensorFlow, PyTorch), containerization (Docker, Kubernetes), and database technologies (Oracle, Postgres, MongoDB).
Senior engineer with proven ability to design and deploy complex, scalable AI systems in enterprise environments.
Deep expertise in integrating AI components into Java-based applications and leveraging AI orchestration frameworks.
Experienced in applying strong system design, API-first architectures, microservices, event-driven patterns, and operating within regulated financial services is a plus.