Principal Engineer - Java and Generative AI

Desired Qualifications

Deep Hands‑On Engineering Expertise

• Progressive engineering experience with sustained hands‑on design and development in Java (modern JVM stacks, microservices, distributed systems, performance engineering).
• Proven experience architecting and building AI–powered solutions, including LLM integration, prompt engineering, RAG patterns, model orchestration, AI pipelines, and responsible AI practices.
• Strong background in cloud‑native architectures (containerization, orchestration, CI/CD, DevSecOps) with experience operating systems at enterprise scale.

Principal‑Level Technical Leadership

• Demonstrated ability to operate as a technical authority across domains (application, data, AI, platform, security), influencing architecture and engineering standards at an enterprise level.
• Track record of translating ambiguous business problems into scalable, resilient, and future‑ready technical solutions.
• Experience defining long‑term technology strategy, reference architectures, and engineering roadmaps aligned with business outcomes.

AI & Innovation Mindset

• Strong understanding of GenAI trends, ecosystem evolution, and emerging capabilities, with the ability to assess vendor offerings versus build strategies.
• Experience embedding AI into core business workflows to drive productivity, risk reduction, customer experience, and operational efficiency.
• Passion for experimentation, rapid prototyping, and data‑driven decision‑making.

Influence & Communication Excellence

• Exceptional verbal and written communication skills, with the ability to clearly articulate complex technical concepts to executives, regulators, partners, and engineering teams.
• Proven success influencing without authority across global, matrixed organizations.
• Recognized as a trusted advisor who can challenge assumptions constructively and elevate technical conversations.

Outside‑In Perspective

• Strong awareness of industry best practices, competitive landscape, and fintech/financial services technology trends.
• Active engagement with external communities (conferences, forums, thought leadership, standards bodies) is highly desirable.

Job Expectations

• Enterprise Technical Stewardship

  • Act as a Principal Engineer and strategic advisor to senior leadership, shaping technology decisions that impact multiple lines of business and the broader enterprise.
  • Define and evolve enterprise‑scale architectures for Java‑based platforms and AI/GenAI solutions, ensuring alignment with security, risk, and regulatory requirements.

• Hands‑On Leadership

  • Remain deeply hands‑on—designing, reviewing, and occasionally coding critical components to set a high engineering bar.
  • Lead by example in applying engineering rigor, automation, testing, performance optimization, and secure coding practices.

• AI / GenAI Enablement

  • Drive the strategy, adoption, and governance of AI and GenAI capabilities across the organization.
  • Partner with product, data, risk, and security teams to ensure responsible, explainable, and scalable AI solutions.
  • Identify high‑value use cases and guide teams from proof‑of‑concept to production at scale.

• Influence & Thought Leadership

  • Serve as a visible technical spokesperson internally and externally, presenting ideas, architectures, and innovation narratives with clarity and conviction.
  • Mentor senior engineers and architects, raising the overall technical maturity of the organization.
  • Foster a culture of engineering excellence, curiosity, and continuous learning.

• Outside‑In Innovation

  • Continuously scan the external ecosystem to bring new ideas, technologies, and patterns into the enterprise in a pragmatic, value‑driven manner.
  • Challenge legacy thinking and advocate for simplification, modernization, and platform thinking.
  • Balance innovation with operational stability, risk management, and long‑term sustainability.

• Outcome‑Driven Execution

  • Measure success through business impact, not just technical delivery—improved time‑to‑market, developer productivity, system resilience, and customer outcomes.
  • Partner closely with stakeholders to ensure technology investments deliver durable, enterprise‑wide value.