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AI Architect /AI Solution Architect – P&C Insurance Platform

Harvey Nash

New York · flexible Full-time Senior $180k – $225k/yr 1w ago

About the role

About The Role

  • We are building a next-generation, AI-powered insurance platform from the ground up for the Property & Casualty (P&C) domain. This greenfield initiative aims to transform policy administration, underwriting, claims, and customer experience using AI-first architecture.
  • The platform will align with and compete against leading insurance technology providers & leveraging modern cloud-native and AI-driven design principles
  • We are seeking experienced AI Architects or AI Solution Architect to define the vision, architecture, and execution of this platform.

Key Responsibilities

  • Define end-to-end AI architecture for a cloud-native insurance platform
  • Design scalable AI/ML systems for underwriting, claims automation, fraud detection, and risk modeling
  • Architect AI-native capabilities embedded within Policy Administration Systems (PAS)

Greenfield System Design

  • Lead architecture for a modern, microservices-based insurance platform
  • Apply domain-driven design (DDD) aligned with P&C insurance workflows
  • Establish API-first and event-driven architecture patterns
  • Architect solutions using .NET and Azure ecosystem (Azure ML, Cognitive Services, Azure OpenAI, Data Services)
  • Design cloud-native, scalable, and secure systems on Azure
  • Define data architecture including data lakes, streaming pipelines, and feature stores

AI/ML & Generative AI

  • Design and implement AI/ML and Generative AI solutions (LLMs, NLP, RAG pipelines)
  • Enable intelligent automation across policy lifecycle and claims processing

Governance & Best Practices

  • Define AI governance, security, compliance, and responsible AI frameworks
  • Ensure scalability, reliability, and performance of AI systems
  • Create reusable frameworks, accelerators, and architecture standards
  • Work closely with engineering, product, and business teams
  • Translate insurance business requirements into scalable technical solutions
  • Mentor teams and provide architectural guidance

Required Qualifications

  • 10+ years of experience in software architecture/engineering
  • 3–5+ years of hands-on experience in AI/ML and modern AI systems
  • Strong expertise in Microsoft stack: .NET and Azure (Azure ML, Data Services, Cognitive Services)
  • Hands-on experience with Generative AI, LLMs, and modern AI frameworks
  • Strong understanding of microservices, APIs, and event-driven architecture
  • Strong experience in Property & Casualty (P&C) Insurance
  • Deep understanding of Policy Administration Systems (PAS)
  • Familiarity with underwriting, claims, billing, and policy lifecycle

Nice to Have

  • Experience building greenfield platforms
  • Knowledge of data engineering and real-time analytics pipelines
  • Experience with AI governance and regulatory compliance in insurance
  • Exposure to modern DevOps, MLOps, and CI/CD practices

Why Join

  • Build an AI-first insurance platform from scratch
  • High ownership and impact in a greenfield environment
  • Work at the intersection of AI, cloud, and insurance transformation
  • Fully remote flexibility

A reasonable, good faith estimate of the minimum and maximum base salary for this position is $180 K to $225 K per year with Bonus. Employee benefits will also be available, and details are available like Pension/401K/ Paid Vacation/ Life, Medical & Dental insurance etc.

  • The pay range listed above reflects the expected starting salary /Pay rate for this role. This range may be adjusted based on market conditions, location, and other relevant factors. The Company will determine the final starting salary/Pay rate in consultation with the selected candidate(s), in full compliance with applicable laws

Skills

.NETAPIAzureAzure Cognitive ServicesAzure Data ServicesAzure MLAzure OpenAICI/CDData LakesDevOpsDomain-driven designEvent-driven architectureGenerative AILLMsMicroservicesMLOpsNLPRAG pipelinesReal-time analyticsRisk modeling

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