AI Enablement/Orchestration Engineer - Senior Associate

Overview

Build and operationalize AI and machine learning solutions for anomaly detection, fraud indicators, operational risk signals, and process deviations across high-volume payment flows. The role combines AI Engineering, Data Engineering, GenAI, RAG, agentic workflows, governance, and observability in a regulated financial services environment.

What you'll do

• Design anomaly detection and machine learning solutions for payment monitoring and risk signals.
• Engineer features from payment transactions, operational logs, reference data, and historical patterns.
• Build batch, streaming, and near-real-time data pipelines for detection and investigation workflows.
• Tune detection thresholds, scoring logic, model sensitivity, and false-positive reduction.
• Develop explainability capabilities, reason codes, diagnostics, and investigation summaries.
• Integrate AI services with payment applications, case management tools, APIs, and review processes.
• Implement MLOps, monitoring, governance, auditability, and production support practices.

What you'll need

• 6+ years of professional experience.
• Bachelor's or Master's degree in Computer Science, AI/ML, or a related field.
• Hands-on experience with anomaly detection, fraud detection, transaction monitoring, or risk-scoring models.
• Strong Python, software engineering, SQL, API, workflow automation, and cloud-native architecture skills.
• Experience building large-scale data pipelines and distributed data-processing solutions.
• Knowledge of RAG, OpenAI Service, prompt engineering, vector databases, and LLM integrations.
• Experience with CI/CD, Docker, Kubernetes, Jira, and MLOps tooling.

Nice to have

• Payments domain experience and familiarity with SWIFT, ISO 20022, wires, ACH, SEPA, or real-time payments.
• Experience with IBM MQ, Kafka, or MFT.
• Knowledge of Responsible AI, data governance, and model risk management.

Details

• Location: Bangalore, India.
• Work mode: Hybrid.