What are the responsibilities and job description for the Senior Java/AI Engineer position at BNY Mellon?
At BNY, our culture allows us to run our company better and enables you to grow and succeed. 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 and champions of inclusion, 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.
Job Summary:
We are seeking a Senior Java/AI Engineer to join the Enterprise Data & Solutions Engineering team supporting enterprise-scale application modernization and AI-enabled engineering initiatives. This role will focus heavily on hands-on Java engineering, microservices development, AI integration, and cloud-native application delivery within a highly collaborative agile environment.
The ideal candidate will bring strong expertise across Java, Spring Boot, AI-assisted development tools, microservices architecture, and enterprise application performance optimization. This position will play a key role in designing scalable APIs, integrating AI capabilities into application workflows, and supporting modern DevOps and CI/CD engineering practices. The role is based in Lake Mary, FL and requires 4 days onsite per week.
Key Responsibilities:
• Java & Microservices Engineering: Design, develop, and maintain scalable Java/Spring Boot microservices, APIs, and distributed applications following modern engineering standards and architectural best practices.
• AI Integration & Engineering Enablement: Support integration of AI capabilities into enterprise applications, including prompt orchestration, inference workflows, embeddings/vector search, and AI-assisted engineering tooling such as CoPilot, Claude Code, and Windsurf.
• Architecture & Technical Leadership: Translate business and product requirements into scalable technical solutions while contributing to coding standards, solution design, code reviews, and production readiness assessments.
• Cloud-Native & DevOps Delivery: Build and support CI/CD pipelines, containerized deployments, automated testing frameworks, and DevOps workflows leveraging Docker, Kubernetes, and modern deployment strategies.
• Database & Performance Optimization: Design and optimize resilient data access patterns within Oracle and other relational databases, including schema design, query tuning, transaction management, and performance optimization.
• Operational Excellence & Reliability: Support performance benchmarking, threat modeling, monitoring, rollout/rollback strategies, and application scalability initiatives to ensure secure and resilient production systems.
• Cross-Functional Collaboration: Partner closely with Product, Platform Engineering, Security, AI/Data teams, Infrastructure, and business stakeholders to support enterprise modernization and AI-focused technical initiatives.
Qualifications:
• 8+ years of hands-on software engineering experience with strong expertise in Java and Spring Boot.
• Strong understanding of microservices architecture, REST APIs, distributed systems, and scalable application development.
• Experience working with AI-assisted development tools such as GitHub Copilot, Claude Code, Windsurf, or similar technologies.
• Understanding of AI application concepts including prompt engineering, AI agent architecture, vector search, embeddings, or RAG workflows.
• Strong DevOps and CI/CD experience including Docker, Kubernetes, automated testing, and deployment pipelines.
• Strong Oracle or relational database expertise including SQL, stored procedures, transaction management, and performance tuning.
• Experience with job scheduling and workflow orchestration tools such as Airflow, Autosys, or Control-M.
• Strong analytical, problem-solving, and collaboration skills within agile engineering environments.
• Bachelor’s degree in Computer Science, Engineering, or equivalent experience preferred.
Preferred Experience:
• Financial services or enterprise platform engineering experience.
• Experience supporting AI-enabled enterprise modernization initiatives.
• Experience designing scalable cloud-native application architectures.
• Exposure to performance benchmarking, production readiness reviews, and application security practices.
• Experience working in highly regulated enterprise environments.
Why Join Us:
This opportunity offers the chance to work on enterprise-scale modernization and AI integration initiatives within a highly technical engineering organization. Engineers will contribute directly to next-generation application development, AI-enabled workflows, and cloud-native engineering practices while partnering across multiple enterprise technology groups.
At BNY, our culture speaks for itself, check out the latest BNY news at:
Here’s a few of our recent awards:
America’s Most Innovative Companies, Fortune, 2025
World’s Most Admired Companies, Fortune 2025
“Most Just Companies”, Just Capital and CNBC, 2025
Salary : $74 - $83