AI & Fraud Analytics Engineer

ComTec Information Systems (IT); Richmond (VA); On-site; USD 160,000 - 230,000; Full time

Job summary

ComTec Information Systems (IT) seeks a Senior/Staff/Principal-level AI & Fraud Analytics Engineer to build and scale production AI/ML platforms for fraud detection, AML, transaction monitoring, and financial crime analytics.

You will implement real-time scoring, anomaly detection, and graph ML, and apply LLM/RAG/GenAI to fraud use cases, while ensuring security, privacy, and auditability across data pipelines and models.

Qualifications

• 14–17 years of Software/AI/ML/Data/Platform Engineering experience.
• Proficient in Python and ML frameworks (PyTorch, TensorFlow, scikit-learn/XGBoost).
• Experience with MLOps tools and production ML pipelines.
• Experience with fraud domains: AML, KYC, sanctions, transaction monitoring.
• Knowledge of real-time scoring, anomaly detection, graph ML.
• Familiarity with Databricks, Snowflake, Delta Lake.
• Understanding of security, privacy, compliance & auditability.

Responsibilities

• Design and scale production AI/ML platforms for fraud detection and financial crime analytics.
• Implement real-time fraud scoring and anomaly detection.
• Develop ML models for AML, KYC, sanctions and transaction monitoring.
• Apply LLM/RAG/GenAI to fraud use cases.
• Ensure security, privacy, and auditability of data and models.

Skills

Python

ML frameworks

MLOps

Real-time scoring

Fraud analytics

Graph ML

GenAI

Security/compliance

Tools

MLflow

Kubeflow

SageMaker

Ray

Kafka

Spark

Databricks

Snowflake

Delta Lake

Job description

We’re looking for a Senior/Staff/Principal-level AI & Fraud Analytics Engineer to build and scale production AI/ML platforms for fraud detection, AML, transaction monitoring, and financial crime analytics.

Key Requirements:

• 14–17 years of Software / AI/ML / Data / Platform Engineering experience
• Strong Python, PyTorch, TensorFlow, Scikit-learn/XGBoost
• MLOps: MLflow, Kubeflow, SageMaker, Ray or equivalent
• Kafka, Spark/Spark Structured Streaming
• Real-time fraud scoring, anomaly detection & graph ML
• Fraud, AML, KYC, sanctions, transaction monitoring experience
• LLM, RAG & GenAI for fraud/financial crime use cases
• Databricks, Snowflake, Delta Lake or similar platforms
• Strong understanding of security, privacy, compliance & auditability