AI Lead- Banking

Function:

AI/ML Engineering · Platform & Foundations · Product AI · MLOps · AI Governance

Role Context Newgen’s AI‑first low‑code platform powers end‑to‑end banking journeys—digital account opening, retail & commercial lending, transaction banking (trade & supply chain finance), and collections. Your charter is to lead the engineering of production‑grade AI/GenAI and agentic capabilities that deliver measurable improvements in speed, accuracy, compliance, and cost for these journeys.

Key Outcomes & Engineering Responsibilities Define the 12–24‑month Banking AI engineering roadmap across digital onboarding, RLOS/CLOS, trade finance, collections, and wealth—prioritized by business outcomes (TAT, first‑time‑right, risk, recovery). Architect multi‑tenant AI services (LLM/RAG, decisioning, forecasting) with API‑first interfaces consumable by Newgen banking apps and partner ecosystems and customers including authentication, tenancy isolation, rate‑limiting, and observability. Build decisioning & risk services: credit score augmentation, policy/DMN alignment, explainability, and Early Warning Signals integrated with LOS/CLOS and servicing workflows. Ship document intelligence for banking: GenAI summarization/extraction/redaction for onboarding & loans; UCP‑600 compliant trade checks (document classification, discrepancy detection, cross‑doc validation) with auditable trails. Operationalize agentic automations for underwriting, financial spreading, KYC/AML and exception handling with evaluated guardrails (input/output filters, grounding, policy rules). Deliver Collections AI: including data and voice. Establish Banking‑grade MLOps/LLMOps: data contracts, model & embedding registries, offline/online evaluation (latency, cost, grounding, bias), CI/CD. Own non‑functional SLOs: availability, latency, cost/1k tokens, throughput, and error budgets; institute golden‑path SDKs and reference adapters for rapid solution team adoption. (Platform practice) Partner with Product, Compliance, and Security to codify AI governance: PII handling/redaction, auditability, retention, model/prompt guardrails, and regulator‑ready documentation. (Governance practice) Lead and mentor a high‑performing engineering team (applied scientists, ML engineers, platform engineers, evaluators); build hiring plans and coach for design rigor, reliability, and impact.

Qualifications 10–12 years total experience; 5+ years leading AI/ML engineering teams shipping production AI in banking (retail/commercial lending, onboarding/KYC, trade operations, collections). Strong systems design: multi‑tenant AI services, distributed event architectures, streaming ETL, vector/feature stores, observability and cost/performance optimization. LLMs & decisioning depth: prompting, fine‑tuning, RAG; explainable decisioning aligned to credit policy/DMN; time‑series EWS and risk models. Document AI for banking: OCR/ICR + layout models; trade document checks against UCP‑600; KYC/AML document handling and redaction. Domain fluency across LOS/CLOS, onboarding, trade finance flows, collections strategies, and audit/compliance expectations. Excellent stakeholder leadership and communication; able to translate model and platform trade‑offs for executives, customers, and regulators.

Why Newgen Build banking AI on a platform that already powers end‑to‑end journeys—onboarding, lending, trade, collections, wealth—and is proven at scale with global banks, including ecosystem integrations (e.g., Finacle, Temenos etc).