Lead AI Java Engineer – Risk & Margin

Responsibilities

• Lead complex initiatives on selected domains
• Ensure systems are monitored to increase operational efficiency and managed to mitigate risk
• Define opportunities to maximize resource utilization and improve processes while reducing cost
• Lead, design, develop, test and implement applications and system components, tools and utilities, models, simulation, and analytics to manage complex business functions using sophisticated technologies
• Resolve coding, testing and escalated platform issues of a technically challenging nature
• Lead team to ensure compliance and risk management requirements for supported area are met and work with other stakeholders to implement key risk initiatives
• Mentor less experienced software engineers
• Collaborate and influence all levels of professionals including managers
• Lead team to achieve objectives
• Partner with production support and platform engineering teams effectively
• Define and govern standard patterns for AI-assisted and LLM-based software development

• 5+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 5+ years of experience in building prime brokerage or capital markets applications
• 5+ years of high-performance programming techniques in Java
• 5+ years of experience in Java, Spring Boot, JPA, Microservices, SQL and No
  
  SQL
• 2+ years of experience in Kubernetes/Open Shift & cloud technologies
• 5+ years of experience in Apache Kafka/Solace/MQ
• 5+ years of Experience with SDLC and Agile tools such as JIRA, Git Hub, Jenkins, Confluence etc.
• 2+ years of experience on GenAI enabled solutions, Retrieval-Augmented Generation (RAG) and agentic workflows, with a strong understanding of prompt engineering, grounding, and extensibility
• 2+ years hands-on experience with major GenAI platforms (e.g., Microsoft VS Code, Git Hub Copilot)