AI Enablement/Orchestration Engineer - Senior Associate
State Street CorporationMatch Score
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Protocol Intelligence
Data-driven signals on your job's competitivenessState Street brand and metro hiring but role requires specialized AI/MLOps and payments expertise.
Medium — ML/MLOps skills transferable, though payments and financial governance preference increases domain specificity.
High — explicit 6+ years and mandatory ML/MLOps, RAG, and payments/governance requirements.
Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and operationalize AI/ML anomaly detection and fraud models for high-volume payments workflows, including data pipeline development and system integration.
Develop and tune machine learning models using various techniques to support payment risk monitoring, alert generation, and investigations with explainability features.
Implement governance, observability, MLOps, and Responsible AI practices to ensure safe, scalable, and compliant AI operations in a regulated financial services environment.
Minimum Requirements
6+ years of professional experience; Bachelor's or Master's degree in Computer Science, AI/ML or related fields.
3–5 years of experience in Data Engineering, AI Engineering, Machine Learning Engineering, or Software Engineering roles.
Proficiency in Python, SQL, APIs, cloud-native architectures, experience with RAG, OpenAI services, CI/CD, Docker, Kubernetes, and large-scale data pipelines.
Experience with anomaly detection models, payment domain data features, deploying batch/streaming pipelines, and knowledge of payment processing flows in a financial context.
Ideal Candidate Profile
Experienced AI/ML engineer with strong background in anomaly detection and payment domain risk modeling.
Able to operationalize AI models with scalable data engineering solutions and integrate AI systems into payment risk and investigation workflows.
Comfortable working within regulated financial environments applying Responsible AI, governance, and compliance controls.