Function: Insurance (Operations, Products & Technology)

Experience: 8–12 years (with 4+ years in applied AI/ML and 2+ years leading delivery)

Role summary
We are hiring an AI/ML Lead to own how AI is applied across insurance
workflows—underwriting support, claims, policy servicing, document-heavy operations, and
customer/agent experiences. You will sit between business and technology: translate
operational problems into AI solutions, set delivery standards, and ensure models and
platforms actually move cycle time, accuracy, leakage, and customer experience—not just
PoCs.
You will lead a small AI/ML squad, partner with product, operations, risk/compliance, and
engineering, and take solutions from problem framing through production and adoption.

What you will do
Business partnership
 Work with claims, underwriting, operations, and product leaders to identify high-
value AI use cases (document intake, extraction, decision support, fraud/leakage
signals, servicing automation, knowledge assistants).
 Convert messy insurance processes into explicit problem statements, success metrics,




and phased roadmaps.
 Set expectations with stakeholders on accuracy, exceptions, human-in-the-loop, and
what AI will not do.
 Communicate progress, risk, and ROI in business language; bring technology
constraints back to the business early.
Solution ownership (not model-shopping)
 Design end-to-end AI solutions: data → processing → intelligence →
APIs/workflows → ops feedback loop.
 Choose the right approach for the problem (classical ML, NLP, computer vision,
GenAI, hybrid) without locking the org to a single technique.
 Own quality: evaluation design, error analysis, sampling, thresholding, and
continuous improvement from production feedback.
 Ensure solutions are production-grade: latency, cost, reliability, fallbacks, auditability,
and PII/sensitive-data handling.

Insurance domain depth
 Understand policy, claims, FNOL, endorsements, KYC/onboarding, correspondence,
and operati

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