AI Lead Engineer- Insurance - Noida - Newgen Software

    Newgen Software
    Newgen Software Noida

    1 day ago

    Technology / Internet
    Description

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

    Role Context

    Newgen's AI‑first low‑code platform powers insurance journeys across Life & Annuity, Property & Casualty, and Specialty—spanning underwriting, policy issuance/servicing, and claims. The Insurance vertical is doubling down on GenAI and Agentic AI to deliver faster, fairer, and explainable decisions with auditability at scale. You will lead the engineering of production‑grade AI/GenAI services and agentic automations that uplift risk assessment, claims adjudication, and customer communications on a secure, multi‑tenant foundation.

    Key Outcomes & Engineering Responsibilities

    • Own a 12–24‑month Insurance AI engineering roadmap across underwriting (L&A, P&C, Specialty), policy servicing, and claims—prioritized by business outcomes (STP, leakage reduction, TAT, loss ratio).
    • Architect multi‑tenant AI services (LLM/RAG, risk/price models, adjudication engines) with API‑first interfaces, strong tenancy isolation, observability, and cost/latency SLOs; enable consumption by Insurance WorkDesk/agent portals and core ecosystems.
    • Underwriting intelligence: ship services for submission ingestion, triage/prioritization, risk scoring, quote‑acceptance prediction, and document summarization; integrate with rules engines and rating/policy admin systems.
    • Claims AI: deliver FNOL intake automation, AI triage, fraud/risk detection, and explainable adjudication for Life, P&C, and Health; standardize salvage/subrogation sub‑processes and omnichannel customer updates.
    • Policy servicing & booking/binding: build GenAI‑assisted clause/wording libraries, template governance, and contract generation with maker‑checker workflows and full audit trails.
    • Agentic insurance journeys: operationalize multi‑agent frameworks (e.g., Underwriting Assistant, Claim Adjudication) with guardrails (input/output filters, grounding, policy catalogs) and human‑in‑the‑loop controls.
    • Document intelligence (IDP): embed classification, extraction, and redaction for applications, medicals, bills, loss evidence, and endorsements to reduce manual effort and errors.
    • Customer communications: expose AI services that personalize and govern omnichannel communications (renewals, endorsements, claim letters) with template control and auto‑archival.
    • Ecosystem integrations: design adapters for core platforms (e.g., Guidewire, Duck Creek), CRM, and data‑partner APIs; package deployables for marketplace motions where applicable.
    • Establish insurance‑grade MLOps/LLMOps: model/data registries, offline/online evaluations (grounding, fairness, leakage impact), CI/CD, blue‑green/canary rollouts, rollback, run‑books; incident/SLA management.
    • Build, coach, and scale a high‑performing team (applied science, ML/platform, evaluation & safety); drive design rigor, reliability, and measurable production impact.

    Qualifications

    • 10–12 years total; 5+ years leading AI/ML engineering teams shipping production AI in insurance (L&A/P&C/Specialty) across underwriting, policy servicing, or claims.
    • Systems design depth: multi‑tenant AI services, vector/feature stores, streaming ETL, event architectures; observability and cost/performance optimization at scale.
    • LLMs & decisioning: prompting, fine‑tuning, RAG; explainable decisioning aligned to underwriting/claims policies; propensity, fraud, and price‑sensitivity models.
    • Document AI & IDP: OCR/ICR + layout models for medical records, bills, proofs; privacy/PII redaction; evidence packaging for audits.
    • Domain fluency across Life & Annuity (policy issuance/underwriting, claims), P&C (policy booking/binding, claims), and Health (auto‑adjudication, pre‑auth).
    • Ecosystem experience with insurance cores/platforms (e.g., Guidewire, Duck Creek), CRM, and data providers.
    • Stakeholder leadership and communication; ability to explain model/platform trade‑offs to executives, regulators, and customers.

    Why Newgen

    Build insurance AI on an AI‑first, low‑code platform with proven solutions across underwriting, policy servicing, and claims; leverage agentic automation and a strong integration ecosystem (Guidewire, Duck Creek, CRM) to deliver value fast.

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