





Strong Tier-1 brand and senior generalist title, but specialized AI-agent skills reduce broad applicant density.
Enterprise Java/Spring, AI-agent and secure banking practices limit cross-industry transferability.
Multiple mandatory tech stacks, secure banking practices, and AI-agent expertise increase screening rigor.
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Lead design and delivery of scalable Java Spring Boot microservices/APIs with strong testing and secure coding practices.
Drive adoption of AI-assisted engineering practices (e.g., Copilot/Claude Code) to improve code quality, delivery speed, and operational outcomes within the team.
Build and operationalize AI agents integrated with engineering workflows to support development and incident analysis.
Advanced Java development experience including Spring Boot, REST APIs, security, and persistence frameworks.
Hands-on AI4Tech experience with Copilot/Claude Code or similar tools for secure, high-quality code delivery.
Experience building AI agents or LLM-enabled workflows with safe data handling and verification strategies.
Work Experience Required: Not explicitly mentioned in the JD.
Demonstrates practical system design, application development, testing, and operational stability expertise with advanced Java and Agile methodologies.
Experienced in leading AI-assisted software development adoption with focus on secure, compliant, and resilient engineering workflows.
Familiar with Kubernetes and comfortable combining Python scripting and AI prototyping in production-grade microservice environments.