Solutions Architecture Analyst – Assistant Vice President

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Solutions Architecture Analyst – Assistant Vice President We are seeking a Solutions Architect with a strong foundation in Java, Microservices Development, and exposure to Artificial Intelligence (AI) / Machine Learning (ML). In this role, you will contribute to the architecture, design, and development of scalable, high-performance applications, while supporting the integration of AI/ML capabilities into enterprise systems. You will collaborate with cross-functional teams and support architectural initiatives within a dynamic financial services environment Key Responsibilities Architecture & Design: Assist in designing scalable, high-availability Java microservices and supporting the integration of AI/ML components into enterprise applications. Development & Implementation: Develop clean, maintainable, and efficient code for microservices, APIs, and AI-enabled features using Java and related technologies. Performance Optimization: Monitor system performance and help identify and resolve performance bottlenecks to ensure reliability and scalability. Technical Contribution: Collaborate with senior architects and engineers to implement best practices in microservices architecture and AI integration. Code Quality & Standards: Follow established coding standards, security guidelines, and participate in code reviews to maintain high-quality deliverables. Troubleshooting & Support: Support debugging and resolution of technical issues across applications, including microservices and AI integrations. Collaboration: Work closely with developers, data scientists, and product teams to build and deliver integrated solutions. Innovation & Learning: Stay current with emerging technologies in Java, microservices, and AI/ML; proactively suggest improvements and enhancements. Documentation: Contribute to technical documentation, including APIs, system designs, and operational processes. Preferred Qualifications Experience: ~5+ years of software development experience with hands-on work in Java, microservices, and enterprise applications. Exposure to Agile methodologies and basic AI/ML concepts. Technical Skills: Knowledge of Java and REST APIs

Microservices & Systems: Understanding of microservices architecture, distributed systems, and messaging systems (Kafka, RabbitMQ). API Development: Experience with API design and tools like OpenAPI/Swagger. AI/ML Exposure: Basic understanding of AI/ML concepts and exposure to integrating models or APIs into applications. Cloud & Containers: Familiarity with cloud platforms (AWS, Azure, or GCP), Docker, and Kubernetes basics. Databases: Experience with relational (Oracle, PostgreSQL) and/or NoSQL databases (MongoDB, Cassandra). DevOps Practices: Understanding of CI/CD pipelines and version control systems (e.g., GitHub). Problem-Solving: Strong analytical and troubleshooting skills with attention to detail. Communication: Ability to communicate technical ideas effectively with team members. ​ Education: Bachelor’s degree in Computer Science, Engineering, or related field. Nice to Have Exposure to AI/ML Experience in financial services or regulated environments