Principal Engineer - Java with Gen AI

About this role:(Principal Engineer - Java with Gen AI)

We are hiring a Principal Engineer with deep Java ecosystem expertise to architect and scale enterprise-grade AI systems operating at global banking scale.

This role requires a hands-on technologist who can combine strong Java-based distributed systems engineering with modern GenAI architecture patterns in a regulated financial environment.

You will own foundational platform components that integrate LLM-driven capabilities into high-throughput, mission-critical banking systems.

In this role, you will:

• Act as an advisor to leadership to develop or influence applications, network, information security, database, operating systems, or web technologies for highly complex business and technical needs across multiple groups
• Lead the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas or the enterprise, delivering solutions that are long-term, large-scale and require vision, creativity, innovation, advanced analytical and inductive thinking
• Translate advanced technology experience, an in-depth knowledge of the organizations tactical and strategic business objectives, the enterprise technological environment, the organization structure, and strategic technological opportunities and requirements into technical engineering solutions
• Provide vision, direction and expertise to leadership on implementing innovative and significant business solutions
• Maintain knowledge of industry best practices and new technologies and recommends innovations that enhance operations or provide a competitive advantage to the organization
• Strategically engage with all levels of professionals and managers across the enterprise and serve as an expert advisor to leadership

Required Qualifications:

• 15+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications:

• Strong hands-on expertise in Java ecosystem (Spring Boot, REST APIs, microservices, concurrency, performance tuning) and Python
• Proven experience designing large-scale distributed systems in production
• 1- 2 years of experience delivering GenAI systems, including hands-on work with:
• Applications powered by LLMs
• RAG architectures
• Embeddings and vector databases
• Agent frameworks and orchestration
• Experience integrating AI services into enterprise backend platforms
• Strong cloud-native experience (GCP, Azure)
• Ability to influence architectural decisions across complex systems
• Experience in Banking/Financial services domains (e.g. commercial or corporate, Payments, Treasury, lending, FX)
• Experience implementing AI governance, risk, and model validation frameworks
• Familiarity with event-driven architectures (Kafka or similar)
• Experience modernizing legacy Java systems with AI augmentation
• Excellent communication skills with experience engaging senior stakeholders

Job Expectations:

• Deployment of GenAI services embedded into core Java-based banking platforms
• Strong alignment between AI capabilities and commercial banking product strategy
• Production-grade GenAI applications integrated into Java-based enterprise platforms
• RAG pipelines, agent orchestration layers, and AI service abstractions callable from core Java systems
• Secure, compliant Open Banking APIs powering high-volume enterprise clients
• Observability, resilience, and governance frameworks for AI-enabled services
• Design and implement high-performance distributed systems primarily in Java (Spring Boot, microservices architecture), ReactJS and MicroFrontends
• Integrate LLMs, RAG pipelines, and AI orchestration frameworks into enterprise Java systems
• Lead deep technical design reviews across backend, API, and AI integration layers
• Partner with Product and Business leaders to shape AI-enabled banking capabilities
• Mentor senior engineers and elevate engineering rigor across the organization
• You will solve hard engineering problems inside regulated, mission-critical environments
• You will influence AI platform direction at scale and build durable systems not prototypes