AI Enablement/Orchestration Engineer - Senior Associate
Core
Design, build, and operationalize AI/ML solutions for anomaly detection, fraud detection, and risk scoring within high-volume payment flows.
Role type
Senior IC AI Enablement/Orchestration Engineer
Builds
Scalable batch, streaming, and near-real-time data pipelines; anomaly detection models; GenAI/RAG systems for alert summarization and root-cause analysis.
Domain
Financial services (Payments) + Machine Learning Engineering
Deliverable
production ML models
Required skills
Anomaly detection (supervised/unsupervised/time-series/graph), Feature engineering from payment data, Model tuning (precision/recall/F1), MLOps, Python, SQL, RAG, LLM integration, Vector databases, CI/CD, Docker, Kubernetes
Preferred skills
Payments domain knowledge (SWIFT, ISO 20022, ACH, SEPA), IBM MQ, Kafka, MFT, Responsible AI governance
Technologies
Kafka, Spark, Airflow, OpenAI Service, Docker, Kubernetes, Jira
Responsibilities
Design and build anomaly detection models; Engineer features from payment transactions and logs; Build scalable data pipelines for monitoring and alerting; Tune detection thresholds and scoring logic; Develop explainability capabilities and investigation summaries; Integrate services with payment applications and human-in-the-loop processes; Implement MLOps practices; Monitor model performance and drift; Partner with cross-functional teams to translate business scenarios into AI controls.
Seniority
Senior, hands-on IC
