The company is looking to enhance its fraud detection and cybersecurity capabilities by leveraging Generative AI (GenAI). The goal is to build AI agents that can proactively identify and mitigate fraud before it impacts the organization, summarize complex case information, and recommend next steps for investigations.
Requirements
- Proficiency in Python, SQL, and experience with Azure and OpenAI frameworks.
- Knowledge of Model Context Protocol (MCP) and Agent-to-Agent Protocol.
- Strong understanding of building and deploying AI agents, with a focus on fraud detection and security applications.
- Ability to work effectively with cross-functional teams and external partners to achieve common goals.
- Excellent problem-solving skills and attention to detail, with the ability to translate complex analytical results into clear, actionable insights.
- Focus on building AI agents without the need for deep expertise in image-based AI models.
Responsibilities
- Lead the development of retrieval-augmented GenAI tools to answer complex queries, auto-summarize case dossiers, and recommend next steps in fraud or security investigations.
- Design, build, and deploy AI agents that enhance fraud and security operations.
- Utilize tools like Copilot on Azure and Langchain to create intelligent systems that can detect anomalous activities in a fully autonomous or semi-supervised fashion.
- Partner with cross-functional teams, including Internal Investigations and law enforcement, to coordinate fraud-ring takedown operations.
- Ingest threat intelligence, and post-takedown activities to retrain models and evolve detection patterns.
- Prototype advanced techniques such as graph neural networks and anomaly detection to predict emerging fraud tactics.
- Build and deploy AI agents for fraud detection and security using Azure and OpenAI frameworks.
Other
- This is a remote position.
- Ph.D. in Data Science, Computer Science, Applied Math, or related field preferred.
- Collaboration Skills: Ability to work effectively with cross-functional teams and external partners to achieve common goals.
- Problem-Solving Skills: Excellent problem-solving skills and attention to detail, with the ability to translate complex analytical results into clear, actionable insights.
