AI Lead Engineer- Banking

Function: AI/ML Engineering Platform & Foundations Product AI MLOps AI Governance

Role Context

Newgens AIfirst lowcode platform powers endtoend banking journeysdigital account opening, retail & commercial lending, transaction banking (trade & supply chain finance), and collections. Your charter is to lead the engineering of productiongrade AI/GenAI and agentic capabilities that deliver measurable improvements in speed, accuracy, compliance, and cost for these journeys.

Key Outcomes & Engineering Responsibilities

• Define the 1224month Banking AI engineering roadmap across digital onboarding, RLOS/CLOS, trade finance, collections, and wealthprioritized by business outcomes (TAT, firsttimeright, risk, recovery).
• Architect multitenant AI services (LLM/RAG, decisioning, forecasting) with APIfirst interfaces consumable by Newgen banking apps and partner ecosystems and customers including authentication, tenancy isolation, ratelimiting, 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; UCP600 compliant trade checks (document classification, discrepancy detection, crossdoc 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 Bankinggrade MLOps/LLMOps: data contracts, model & embedding registries, offline/online evaluation (latency, cost, grounding, bias), CI/CD.
• Own nonfunctional SLOs: availability, latency, cost/1k tokens, throughput, and error budgets; institute goldenpath 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 regulatorready documentation. (Governance practice)
• Lead and mentor a highperforming engineering team (applied scientists, ML engineers, platform engineers, evaluators); build hiring plans and coach for design rigor, reliability, and impact.

Qualifications

• 1012 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: multitenant AI services, distributed event architectures, streaming ETL, vector/feature stores, observability and cost/performance optimization.
• LLMs & decisioning depth: prompting, finetuning, RAG; explainable decisioning aligned to credit policy/DMN; timeseries EWS and risk models.
• Document AI for banking: OCR/ICR + layout models; trade document checks against UCP600; 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 tradeoffs for executives, customers, and regulators.

Why Newgen

Build banking AI on a platform that already powers endtoend journeysonboarding, lending, trade, collections, wealthand is proven at scale with global banks, including ecosystem integrations (e.g., Finacle, Temenos etc).