Solutions Architecture Senior Analyst – Assistant Vice President

Strong and balanced background inJava, Microservices DevelopmentandArtificial Intelligence (AI) / Machine Learning (ML). In this critical role, Solutions Architect will be responsible for architecting designing, leading developers, and 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.

Key Responsibilities:

• 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:

• 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 MetaData.
• Microservices & Middleware Technologies:Deep experience with microservices architectures, distributed systems, message brokers (e.g., Kafka, RabbitMQ), 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, Github; Embrace AI tools to automate different SDLC phases - Devin, Friday.AI.
• Cloud Platforms:Experience with cloud platforms (e.g., AWS, Azure, GCP, OpenShift/Kubernetes) and containerization technologies (Docker).
• Database Skills:Strong understanding of relational and NoSQL databases (e.g., Oracle, PostgreSQL, MongoDB, Cassandra, Starburst).
• DevOps/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 technical and non-technical audiences.
• Leadership:Demonstrated ability to lead technical initiatives, mentor team members, and drive consensus on technical decisions within cross-functional teams.
• Education:Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Other Qualifications:

• 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 is a plus.
• Contributions to open-source projects or relevant technical communities.

Education:

• Bachelor’s/University degree or equivalent experience, potentially Masters degree/MBA

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

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In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.

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