Senior Software Engineer - Fraud Detection & Prevention

Role Overview

AvidXchange is seeking a Senior Fraud Platform Engineer to lead the development of scalable fraud platform capabilities. Core capabilities of Fraud platform include Fraud detection, prevention, resolution, investigation and case management, and reporting and analytics. You will collaborate with Product, Architecture, and Engineering teams to develop intelligent solutions powered by AI and machine learning solutions in a Cloud and third-party solutions and expose APIs for real-time fraud insights and decisioning.

What You’ll Do:

Product and Platform Engineering:

• Design, develop, and implement advanced fraud detection systems using AI and machine learning algorithms (third party tools and Azure).
• Lead hands-on development and engineering of the end-to-end fraud platform.
• Build and scale machine learning models to predict and prevent fraud in real time
• Continuously optimize detection algorithms for accuracy, performance, and resiliency
• Drive application design at both system and component levels, advising on technology choices
• Work closely with cross-functional teams to design and implement API and data integrations.
• Develop and maintain scalable machine learning models to predict and prevent fraud.
• Perform full life cycle application development, enhancement, research, and proof of concepts.
• Participate in both low-level and high-level application design, providing guidance and feedback on available technology options.
• Implement event-driven architectures to enhance real-time data processing and streamline data flows for timely decision-making.
• Build cross-domain integration patterns for operational, analytical, and customer-facing workflows and data including MDM
• Apply CI/CD and DevOps practices to automate and streamline engineering workflows
• Diagnose and resolve performance, reliability, and security issues across the stack.

Collaboration and Leadership:

• Partner with cross-functional teams to embed fraud prevention across platforms and services.
• Contribute to architectural reviews and drive implementation of scalable fraud solutions.
• Mentor engineers by sharing technical expertise, reviewing code, and supporting onboarding.
• Work with Product Management to align on roadmap priorities and deliverables.
• Collaborate across engineering teams to ensure platform consistency and shared best practices.
• Engage with architects and developers to improve architecture, code quality, and delivery speed

Research and Analysis:

• Analyze large datasets to identify patterns and anomalies indicative of fraudulent activity.
• Investigate new techniques in fraud prevention, machine learning, and real-time analytics.
• Stay current with industry trends, tools, and techniques in fraud detection and AI.

What We’re Looking For:

• Bachelor’s or Master’s degree in Information Technology, Computer Science, or a related field.
• 10+ years of .NET software development experience creating SaaS-based applications.
• Proven experience (5+ years) in software engineering, with a focus on fraud technology, AI, and machine learning.
• Strong programming skills in languages such as Python and C++.
• Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Knowledge of data analysis and visualization tools (e.g., SQL, Pandas, Matplotlib).
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes).
• Strong knowledge of .NET 8.0, C#, Visual Studio, WCF, AJAX, HTML, ESB (Neuron a plus), Kendo UI, SSIS/T-SQL, jQuery, JSON, MVC 4/5, Entity Framework.
• Experience developing and integrating RESTful APIs, leveraging events, messaging systems, and ETL processes.
• Familiarity with event-driven architectures and technologies such as Kafka, Azure Service Bus, and Azure Event Hub.
• Strong interpersonal skills with the ability to work effectively in a team setting.
• Excellent problem-solving and troubleshooting skills.
• Experience with source control systems (such as CVS, Git, TFS) in continuous integration environments.
• Strong communication and collaboration skills, with the ability to work across diverse teams.
• Understanding of DevOps principles and CI/CD practices.

 

About AvidXchange

AvidXchange is a leading provider of accounts payable (“AP”) automation software and payment solutions for middle-market businesses and their suppliers. By trade, we are a technology company, but if you ask anyone who