Description

You will lead the AI engineering effort for core banking domains.

Responsibilities

• Define the Banking AI engineering roadmap across digital onboarding, RLOS/CLOS, trade finance, collections, and wealth management, prioritizing by business outcomes.
• Architect multi-tenant AI services (LLM/RAG, decisioning, forecasting) with API-first interfaces, ensuring tenancy isolation and observability.
• Build decisioning and risk services, integrating credit score augmentation, policy alignment, and Early Warning Signals.
• Operationalize agentic automations for underwriting, KYC/AML, and exception handling with defined guardrails.
• Establish Banking-grade MLOps/LLMOps, including data contracts, model registries, and CI/CD processes.

Required Skills

• 10+ years of professional experience.
• Expertise in Gen AI, LLMs, and Forecasting models.
• Strong skills in Prompt Engineering and AI solution design.
• Experience architecting multi-tenant, API-first AI services with security and scalability.
• Hands-on experience in banking AI applications: digital onboarding, trade finance, collections.
• Knowledge of MLOps/LLMOps, CI/CD, and model/embedding registries.
• Ability to implement credit risk decisioning and document intelligence solutions.
• Leadership skills for mentoring engineering teams and defining design rigor.
• Familiarity with Data Modeling and Vector database applications.

Key Skills

Education

Any Graduate