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PHI - Senior AI Engineer

Prudential
Mumbai, IND
Full-time
Senior · 6+ years experience
Onsite
Discovered 3 weeks ago
PythonGoJavaVertex AIBigQuery MLDocument AI
Free

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Location

  • Mumbai (100% On‑site) Reporting to: Enterprise Architect

Mission

Architect the company’s proprietary “SaaS‑Killer” Agentic AI Stack —the intellectual backbone that will replace external platforms and secure our long-term technology sovereignty.

I. Agentic Claims Adjudication (SaaS Replacement)

Objective: Build an in-house, AI-native Claims Management System to replace third‑party CMS platforms. Execution:

Design backend pipelines to ingest and validate medical data via NHCX .

Automate clinical scrutiny and rule-based adjudication using agentic workflows. Outcome:

Straight-Through Processing (STP) with near-zero manual intervention.

Decommissioning of legacy SaaS workbenches.

II. Predictive FWA & Real-Time Risk Sovereignty

Objective: Replace external Fraud, Waste & Abuse (FWA) platforms with an in-house predictive risk engine. Execution:

Build scoring models for every pre-auth and claim using proprietary fraud signatures.

Develop a real-time “risk brain” that analyzes patterns at the point of care. Outcome:

A live Provider Trust Score that auto-triggers approvals or investigations.

Zero dependency on third-party FWA suites

III. Autonomous Provider Network & Portal

Objective: Build a proprietary “Network Control Tower” as a replacement for external hospital portals and network tools. Execution:

Architect secure, bidirectional data interoperability using HL7 FHIR and ABDM standards.

Enable automated onboarding, tariff updates, and network insights. Outcome:

Dynamic package pricing, automated negotiations, and self-updating network data—powered by agentic backends.

Core Engineering (Must Have)

  • 6+ years of experience in high-scale backend engineering using Python, Go, or Java .
  • Proven ability to build robust, scalable distributed systems .

The “Builder” DNA (Must Have)

  • Demonstrated history of building systems from scratch —not just configuring SaaS tools.
  • Comfort owning architecture end-to-end with minimal external dependencies.

AI/ML (Preferred)

Experience deploying AI models or ML-backed workflows is beneficial.

Strong mathematical and logical grounding to quickly adopt: Vertex AI Gemini models Agentic frameworks (LangGraph, CrewAI)

Vertex AI

Gemini models

Agentic frameworks (LangGraph, CrewAI)

GCP Readiness

Willingness to become proficient with: Vertex AI BigQuery ML Document AI Cloud-native microservices & orchestration

BigQuery ML

Document AI

Cloud-native microservices & orchestration

Interoperability Enthusiasm

Interest in mastering the evolving healthcare standards:

National Health Claims Exchange (NHCX) ABDM protocols FHIR-based data flows

ABDM protocols

FHIR-based data flows

Technology Sovereignty

You will lead the build-out of platforms that replace multi-crore SaaS tools and define the company’s technological autonomy.

Deep IP Ownership

Every module built reduces reliance on third-party vendors and directly increases company valuation.

Direct Leadership Access

Work hands-on with the CTIO and business heads at the Mumbai HQ.

Candidate Profile

The ideal candidate is a senior backend engineer who:

Wants to transition into Agentic AI leadership .

Believes the “UPI moment” for insurance (NHCX) demands a fully custom, AI-native architecture.

Has a strong bias for first-principles design and building proprietary systems over vendor customization.

The initial technical interview will focus on

Your most complex build-from-scratch backend project .

You're thinking around architectural sovereignty and system ownership .

Prudential is an equal opportunity employer. We provide equality of opportunity of benefits for all who apply and who perform work for our organisation irrespective of sex, race, age, ethnic origin, educational, social and cultural background, marital status, pregnancy and maternity, religion or belief, disability or part-time / fixed-term work, or any other status protected by applicable law. We encourage the same standards from our recruitment and third-party suppliers taking into account the context of grade, job and location. We also allow for reasonable adjustments to support people with individual physical or mental health requirements.

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