Senior Java Backend & AI Engineer – Wealth Management

Role: Senior Java Backend & AI Engineer – Wealth Management (Move Money Platforms) Location: Austin, TX or Westlake, TX (Hybrid – 3 days in office) Permanent Department: Wealth Management Digital Platforms – Move Money Engineering Experience Level: 8+ Years Enterprise Java Backend + AI/ML Integration Rate: $50 - 55/hr on W2.

Core Responsibilities

· Backend Engineering: Design, build, and support high-throughput, fault-tolerant Java backend systems handling critical asset movement and real-time transaction processing. · AI Platform Orchestration: Architect and deploy the backend infrastructure required to operationalize AI/ML models within the transactional pipeline, including LLM integration, intelligent agent routing, and automated decision engines. · Predictive Transaction Workflows: Integrate deep learning and predictive modeling into Move Money operations to optimize liquidity predictions, dynamically route funds, and intelligently clear complex brokerage exceptions. · Intelligent Security & Fraud Mitigation: Partner with data science and cybersecurity teams to inject AI-driven anomaly detection models directly into active payment streams, identifying and mitigating risk with sub-second latencies. · System Modernization: Migrate legacy transactional applications to high-performance, cloud-native architectures utilizing microservices, event-driven designs, and automated CI/CD patterns. · Data Pipeline & Engineering: Build resilient, asynchronous data streaming pipelines to aggregate high-fidelity transactional metadata, preparing and feeding data structures to train and evaluate AI models. · Enterprise Collaboration: Act as the technical bridge between AI Data Science teams and core Financial Platform architects, ensuring secure, compliant, and performant production deployments. Technical Qualifications & Requirements Core Backend Capabilities · Deep mastery of Java (Java 11 / 17 or later) and ent