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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Java/AI Engineer - **Company:** The Bank of New York Mellon Corporation - **Location:** Lake Mary, FL, United States - **Experience:** Expert - **Salary:** $153,920.0 - $172,640.0 - **Contract:** Temporary contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Applications Architecture, Application Integration Architecture, Automation of Tests, CA Workload Automation Ae, Cloud Engineering, Code Review, Databases, Continuous Integration, Data Security, Relational Databases, DevOps, Distributed Systems, Job Scheduling, Oracle (Applications), Performance Tuning, Query Optimization, Search Technologies, Software Engineering, SQL Stored Procedures, SQL Databases, Web Services, Enterprise Data Management, Enterprise Software Applications, GitHub Copilot, Delivery Pipeline, Prompt Engineering, Spring-boot, Software Security, Containerization, Kubernetes, Information Technology, Deployment Automation, Virtual Agents, Restful APIs, Docker, Microservices, Control M - **Published:** May 23, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=003cc356ad8d2fed ## About the Role Do you have experience in Web services design?, * 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. ## Description 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., * 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. ## Related Videos - [Pioneering AI Assistants in Banking](https://www.wearedevelopers.com/videos/1627-pioneering-ai-assistants-in-banking) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [6 Reasons to Use Java For Your Next AI Project](https://www.wearedevelopers.com/magazine/111-6-reasons-to-use-java-for-your-next-ai-project)