Senior AI Engineer - Risk: Compliance, and Fraud

Job Title: Senior AI Engineer – Risk, Compliance, and Fraud

Location: Plano, TX (Hybrid)

Position Overview
We're seeking a Senior AI Engineer to lead the technical design and execution of our AI-driven Anti-Money Laundering (AML) technology roadmap. Leveraging deep Python expertise, you'll architect robust, secure, production-grade AI systems natively on AWS — capable of auditing transactions in real-time, detecting complex financial crime networks, and automating legal narrative generation. You'll ensure these systems meet the highest standards of regulatory compliance, safety, and transparency.

Key Responsibilities

• Architect AI Solutions: Design scalable AI systems and Agentic LLM workflows on AWS infrastructure to handle real-time AML transaction analysis, link analysis, and network fraud detection
• False Positive Reduction: Architect advanced classification and anomaly detection models to significantly decrease operational noise for human compliance analysts
• Defensible & Compliant AI: Own the guardrails and transparency architecture, ensuring every automated flag or generated document strictly complies with global banking regulations and data privacy rules
• System Integration: Oversee secure integration of vector databases, graph databases (for network analysis), and core banking APIs within AWS VPC environments
• Technical Mentorship: Guide mid-level engineers, enforce clean coding practices, and lead code reviews for the compliance engineering team

Required Qualifications & Skills

• Python Mastery: 5+ years of software/AI engineering experience writing production-grade code in Python, with a proven track record deploying ML models into high-throughput environments
• Advanced AI Knowledge: Expert-level understanding of transformer architectures, agent frameworks (e.g., LangGraph, AutoGen), RAG architecture, and fine-tuning open-source models
• AWS Infrastructure: Extensive experience scaling cloud-native AI workloads on AWS (Amazon SageMaker, AWS Lambda, EKS/ECS, Bedrock)
• Complex Data & Graphs: Strong experience with Graph Databases (Neo4j or Amazon Neptune) for entity resolution or transaction network analysis highly desirable
• Industry Domain: Previous experience in Financial Services, FinTech, or Banking with strong understanding of AML regulations (Bank Secrecy Act, FinCEN guidelines)

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