AI MLOps Lead - Payments Engineering

Role Summary

We are looking for a techno-functional leader with deep experience in Payments domain and AI/ML solutions to design and implement intelligent, AI-enabled payment solutions. The role requires someone who can engage with business stakeholders, design AI-driven architectures, and also contribute hands-on to development and deployment, particularly in AI MLOps environments. This is not a pure data scientist role or a pure BA role but a design + build + deploy role within Payments transformation programs.

Key Responsibilities

1. Payments Domain & Functional Leadership

• Work with stakeholders across Payments (Wire, ACH, SWIFT, ISO 20022, Cards, Cross-border, Liquidity)
• Identify AI-led automation and optimization opportunities in payments lifecycle
• Translate regulatory, operational, and reconciliation challenges into AI solution use cases
• Define business requirements and solution blueprints

2. AI Solution Design

• Design AI/ML-driven solutions for:
• Fraud detection & anomaly detection
• Reconciliation automation
• Payment routing optimization
• Intelligent exception handling
• AML pattern detection
• Define model selection approach (ML, LLM, GenAI, rule-based hybrid models)
• Design scalable, cloud-native AI architectures

3. Hands-on Development

• Develop ML models / AI workflows using Python and relevant frameworks
• Build APIs and integration layers for embedding AI into payments systems
• Work with data pipelines (real-time + batch)
• Implement data preprocessing, feature engineering, and model evaluation

4. AI MLOps & Deployment

• Set up and manage ML lifecycle using MLOps frameworks
• Implement:
• Model versioning
• CI/CD pipelines
• Monitoring & drift detection
• Governance and audit controls
• Ensure production-grade deployment with compliance considerations

5. Stakeholder & Delivery Management

• Interface with product teams, risk teams, operations, and engineering
• Lead POCs and scale into production
• Support proposal creation and AI solution articulation for clients

Domain

• 10+ years of experience in Banking/FinTech
• Strong Payments domain exposure (SWIFT, ISO 20022, Cards, Wire, ACH, Cross-border, Treasury flows)
• Understanding of regulatory and compliance implications in payments
• Experience working in payments transformation programs

Technical

• Strong Python skills
• Experience with ML libraries (Scikit-learn, TensorFlow, PyTorch, XGBoost, etc.)
• Experience with LLMs / GenAI frameworks (LangChain, RAG, prompt engineering, etc.)
• Experience in cloud (AWS / Azure / GCP)
• Experience in MLOps tools (MLflow, Kubeflow, SageMaker, Azure ML, etc.)
• API development experience

Techno-Functional Capabilities

• Ability to translate business requirements into technical AI designs
• Strong solution architecture capability
• Experience designing and deploying AI solutions end-to-end

Good to Have

• • Fraud / AML AI implementation experience
• • Real-time payments exposure
• • Knowledge of DevOps practices