Vice President, Full-Stack Engineer

• Design, develop, test, and maintain end to end full stack applications using modern technologies, frameworks, and engineering best practices across the full software development lifecycle
• Actively contribute as a POD team member, collaborating closely with engineers, product partners, and stakeholders to deliver shared outcomes using agile ways of working.
• Apply an AI first engineering mindset by leveraging automation and AI assisted development tools to improve code quality, testing, documentation, and delivery speed.
• Leverage AI/ML capabilities within full-stack applications, including integration of machine learning models, APIs, and AI-driven services to enhance user experience, automation, and decision-making.
• Promote high standards of software quality, security, and maintainability through code reviews, test automation, proactive technical debt management, and continuous improvement.
• Provide ongoing maintenance, troubleshooting, and enhancements for existing platforms, participating in deployment and release activities in line with established change controls.
• Design and implement AI-enabled backend services using Java-based ecosystems (e.g., Spring Boot) and integrate with AI/ML frameworks, LLM APIs, or internal AI platforms.

• Bachelor’s degree in Computer Science, Software Engineering, or a related discipline, or equivalent professional experience.
• Hands on experience in full stack software development, covering both front end and back end technologies.
• Strong experience with modern programming languages and frameworks such as Java, JavaScript/TypeScript, Node.js, HTML, CSS, and Angular (or similar frameworks), as well as familiarity with application frameworks and containerization technologies.
• Solid understanding of agile software development, automated testing, CI/CD pipelines, and secure software design; experience in financial services or securities processing is a plus.
• Practical experience integrating AI/ML capabilities into applications, such as working with REST-based AI services, large language model (LLM) APIs, or deploying lightweight ML models into production systems.
• Familiarity with AI/ML concepts and tools, such as prompt engineering, model evaluation, embeddings, vector databases, or orchestration frameworks
• Demonstrated ability to work effectively in cross functional teams, mentor junior engineers, and contribute to shared engineering standards and best practices.
• Strong teamwork, communication, and organizational skills, with a proactive mindset focused on ownership, quality, and continuous learning.
• Strong analytical and problem solving skills with the ability to operate effectively in complex and ambiguous environments.
• An AI first mindset with a passion for modern engineering practices, continuous improvement, and automation.

At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.

Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance - and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.