Applied AI Engineer, Global Banking & Markets, Front Office Technology

We are seeking a Senior AI Engineering Expert with deep expertise in leveraging the latest AI tooling to drive developing solutions on the Java/JVM based ecosystem to join our technology team supporting RIA Custody and Security-Based Lending (SBL) platforms. The candidate will be responsible for architecting and implementing production-grade AI solutions that integrate directly into our existing Java-based microservices. The focus will be on building scalable, type-safe, and observable AI "Agentic" workflows that automate collateral management, risk monitoring, and advisor support.

Requirements

• System Integration: Architect and implement end-to-end AI pipelines (RAG, Agentic workflows) that integrate seamlessly with existing enterprise APIs, legacy databases, and microservices.
• Scalability & Performance: Optimize inference latency and manage token costs for large-scale deployments serving thousands of internal and external users.
• Evaluation & Governance: Establish robust evaluation frameworks to measure model accuracy, mitigate hallucinations, and ensure compliance with enterprise security and privacy standards.
• Cross-Functional Leadership: Collaborate with tech leads, security leads, and software teams to identify high-impact AI use cases and define technical roadmaps.
• Continuous Innovation: Stay at the forefront of Generative AI, multimodal models, and autonomous agents, recommending strategic pivots as the technology evolves.
• Enterprise RAG Pipelines: Build robust Retrieval-Augmented Generation (RAG) systems using Java-based ETL pipelines to ingest and index unstructured custodial data (e.g., legal agreements, market news) into vector databases.
• Performance & Observability: Leverage Spring Boot Actuator and Micrometer to monitor LLM latency, token usage, and model drift within our standard enterprise monitoring stack.
• Regulatory Compliance (Audit-by-Design): Implement "Human-in-the-Loop" (HITL) patterns and structured logging to ensure all AI-driven lending decisions are explainable and compliant with 2026 SEC/FINRA standards.
• System Modernization: Lead the transition of traditional batch-oriented Java processes to real-time, event-driven AI architectures using AWS MSK and similar tools.

Benefits

• Generous Paid Time Off
• 401k Matching
• Retirement Plan