Description

Define and execute the engineering roadmap for banking AI services, spanning digital onboarding, trade finance, collections, and wealth management.

This role is on-site.

Responsibilities

• Architect multi-tenant AI services (LLM/RAG, decisioning, forecasting) with API-first interfaces for Newgen banking apps and partner ecosystems.
• Build decisioning and risk services, including credit score augmentation, policy alignment, explainability, and Early Warning Signals integrated with LOS/CLOS.
• Develop document intelligence solutions for banking, including GenAI summarization, extraction, and redaction for onboarding, loans, and UCP-600 compliant trade checks.
• Operationalize agentic automations for underwriting, financial spreading, KYC/AML, and exception handling with evaluated guardrails.
• Establish Banking-grade MLOps/LLMOps, including data contracts, model and embedding registries, and CI/CD processes.

Required Skills

• Expertise in Gen AI, LLMs, and Forecasting models.
• Strong skills in Prompt Engineering and AI solution design.
• Experience with agentic AI workflows and automation.
• Hands-on experience in banking AI applications: digital onboarding, trade finance, collections, wealth management.
• Knowledge of MLOps/LLMOps, CI/CD, model and embedding registries.
• Ability to architect multi-tenant, API-first AI services with security, observability, and scalability.
• Experience in credit risk decisioning, document intelligence, and regulatory-compliant AI implementations.
• 10+ years of engineering experience.

Preferred Skills

• Knowledge of data modeling and vector database applications.
• Leadership and mentoring skills for building high-performing engineering teams.

B.Tech or equivalent degree required.

Key Skills

Education

Any Graduate