Preferred Education:
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Required Qualifications/Skills/Experience:
• Strong and balanced background in Java, Microservices Development and Artificial Intelligence (AI) / Machine Learning (ML).
• At least 7 years of experience in software engineering and 3 years of experience in software architecture
• Experience in architecting, designing systems, and leading development teams
• Skilled in building and maintaining robust, scalable systems
• Hands-on with microservices, APIs, and system integration
• Experience deploying AI/ML solutions within enterprise/financial ecosystems
• Focus on performance optimization and resolving system bottlenecks
• Proficient in Java ecosystem: Java, Spring, Spring Boot, Hibernate, Maven
• Strong understanding of distributed systems and middleware
• Experience with message brokers like Kafka and RabbitMQ
• Familiar with spec-driven development using OpenAPI/Swagger
• Exposure to Generative AI and Agentic AI
• Experience deploying AI solutions into production environments
• Familiar with modern dev tools: GitHub, Copilot, Lightspeed, Devin
• Experience with cloud platforms: AWS, GCP
• Hands-on with Kubernetes and containerization
• Database experience: Oracle, PostgreSQL, MongoDB, Cassandra
• 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.
Preferred Qualifications/Skills/Experience:
• 10+ years of extensive experience in software development with a strong and proven focus on software architecture, including logical and physical patterns and blueprints, Java, enterprise application/ integration, domain-driven design, and
hands-on experience in using agile and AI/ML.
• Expert-level proficiency in Java (JDK 11+) and core Java ecosystem (Spring Boot, Spring Cloud, Hibernate, Gradle), Python, Apache Superset, Anthropic, and Open Metadata.
• Deep experience with microservices architectures, distributed systems, message brokers (e.g., Kafka, RabbitMQ), and API gateways.
• Experience with Spec-Driven Development (e.g., OpenAPI/Swagger for API design) to ensure clear contracts and consistent implementation.
• 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.
• Experience with AI/ML tools: Vertex AI, Gemini Pro, Open Metadata, Anthropic
• Lightspeed, Copilot, Github; Embrace AI tools to automate different SDLC phases - Devin, Friday.AI.
• Experience with cloud platforms (e.g., AWS, Azure, GCP, OpenShift/Kubernetes) and containerization technologies (Docker).
• Strong understanding of relational and NoSQL databases (e.g., Oracle, PostgreSQL, MongoDB, Cassandra, Starburst).
• Familiarity with CI/CD pipelines, MLOps principles, and tools for automating deployment, testing, and monitoring of both software and AI/ML pipelines.
• Exceptional analytical and problem-solving skills, with the ability to tackle complex technical challenges in a fast-paced environment.
• Excellent verbal and written communication skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences.
• Demonstrated ability to lead technical initiatives, mentor team members, and drive consensus on technical decisions within cross-functional teams.
• Experience with specific AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn, particularly in the context of integrating models developed using these tools into Java applications.
• Knowledge of streaming data processing frameworks (e.g., Apache Flink, Spark Streaming) for real-time AI inference.
• Experience in the financial services industry, understanding of regulatory and security requirements related to both software development and AI/ML.
• Financial services domain experience is highly preferred
• Contributions to open-source projects or relevant technical communities.
• Good communication skills.
Overview:
• In this critical role, the Solutions Architect will be responsible for architecting and designing, leading developers, and being involved in maintaining robust, scalable, and high-performance Java applications, while also seamlessly integrating
cutting-edge AI/ML models or components into our enterprise applications.
• Solutions Architect will lead technical initiatives and contribute significantly to our architectural strategy and AI-driven solutions within a complex financial services environment.
Job Duties:
• 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.
- **Only those lawfully authorized to work in the designated country associated with the position will be considered.**
- **Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client’s business needs and requirements.**
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