Solutions Architecture Senior Analyst – Assistant Vice President

Strong and balanced background in Java, Microservices Development and Artificial Intelligence (AI) / Machine Learning (ML). In this critical role,
Solutions Architect will be responsible for architecting, designing, leading developers, and maintaining robust, scalable, and high-performance Java applications, while also seamlessly integrating cutting‑edge AI/ML models into enterprise applications. The Solutions Architect will lead technical initiatives and contribute significantly to our architectural strategy and AI‑driven solutions within a complex financial services environment.

• Architect and Design:
  Lead the design and architecture of high‑volume, low‑latency Java microservice systems and sophisticated solutions for the integration and deployment of AI/ML models.
• Development and Implementation:
  Develop clean, efficient, and well‑documented code for core microservice components, APIs, AI‑driven services, and related systems using Java and its ecosystem.
• Performance Optimization:
  Identify and resolve performance bottlenecks, ensuring optimal performance and scalability of both microservices and AI-integrated components.
• Technical Leadership:
  Provide technical leadership and guidance to development teams, fostering best practices in software development, AI integration, and microservices architecture.
• Code Quality and Standards:
  Ensure adherence to coding standards, security policies, and architectural guidelines, performing code reviews and promoting a culture of quality across all development efforts.
• Troubleshooting and Support:
  Diagnose complex technical issues across the microservice and AI/ML integration stack, providing expert support for critical production systems.
• Collaboration:
  
  Work closely with data scientists, AI/ML engineers, front‑end developers, and other stakeholders to understand requirements and deliver integrated, intelligent solutions.
• Innovation:
  Stay abreast of emerging technologies, particularly in the Java ecosystem, microservice patterns, and AI/ML operationalization (MLOps), recommending and implementing innovative solutions to drive business value.
• Documentation:
  Create technical documentation, including design specifications, API documentation, and operational guides for both microservices and AI/ML components.

• Experience:
  
  +10 years of extensive experience in software development with a strong and proven focus on Java Microservices, enterprise application/integration, domain‑driven design, and hands‑on experience in using Manifestos, agile, and AI/ML.
• Language and Package Expertise:
  Expert‑level proficiency in Java (JDK 11+) and core Java ecosystem (Spring Boot, Spring Cloud, Hibernate, Gradle), Python, Apache Superset, Anthropic, Open Meta Data.
• Microservices & Middleware Technologies:
  Deep experience with microservices architectures, distributed systems, message brokers (e.g., Kafka, Rabbit
  
  MQ), and API gateways.
• Spec‑Driven Development:
  Experience with Spec‑Driven Development (e.g., OpenAPI/Swagger for API design) to ensure clear contracts and consistent implementation.
• AI/ML:
  Demonstrated expertise in integrating AI/ML into production systems, including a thorough understanding of model deployment, inference, scalability, agentic AI, generative AI, Vertex AI Gemini Pro, and monitoring challenges.
• Modern Engineering Tools:
  Lightspeed, Copilot, Git Hub; embrace AI tools to automate different SDLC phases – Devin, Friday.
  
  AI.
• Cloud Platforms:
  Experience with cloud platforms (e.g., AWS, Azure, GCP, Open Shift/Kubernetes) and containerization technologies (Docker).
• Database
  
  Skills:
  
  Strong understanding of relational and No
  
  SQL databases (e.g., Oracle, Postgre
  
  SQL, Mongo
  
  DB, Cassandra, Starburst).
• Dev Ops/MLOps:
  Familiarity with CI/CD pipelines, MLOps principles, and tools for automating deployment, testing, and monitoring of both software and AI/ML pipelines.
• Problem‑Solving:
  Exceptional analytical and problem‑solving skills, with the ability to tackle complex technical challenges in a fast‑paced environment.
• Communication:
  Excellent verbal and written communication skills, with the ability to articulate complex technical concepts to both…