Senior Applied Analytics Engineer

Hartford Fire Insurance

Base: $117,200 - $175,800; bonus/equity: short-ter...
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Conversational ai system development
Rag pipeline architecture
Python and sql proficiency
** The Hartford Fire Insurance is seeking a Senior Applied Analytics Engineer to design and implement AI-powered analytics solutions within their Applied Analytics function. This hybrid role requires expertise in conversational AI, data engineering, and cloud infrastructure to create scalable, production-ready AI capabilities that enhance business insights. **

Job Summary

  • The role focuses on building production-grade AI solutions that enable business users to explore complex insurance data using plain English through conversational interfaces.
  • Candidates will own the end-to-end lifecycle from problem framing to deployment, ensuring scalable, secure, and compliant AI systems across AWS and GCP environments.
  • The position requires deep collaboration with legal, compliance, and business stakeholders to automate regulatory filings and ensure responsible AI practices.

Matching Summary

Match Score: 75

** The Hartford Fire Insurance is seeking a Senior Applied Analytics Engineer to design and implement AI-powered analytics solutions within their Applied Analytics function. This hybrid role requires expertise in conversational AI, data engineering, and cloud infrastructure to create scalable, production-ready AI capabilities that enhance business insights. **

Salary

Base: $117,200 - $175,800; Bonus/Equity: Short-term or annual bonuses and long-term incentives available; Benefits: Not specified

Skills & Requirements

Must-have

  • Conversational AI system development
  • RAG pipeline architecture
  • Python and SQL proficiency
  • AWS and GCP cloud deployment
  • MLOps and CI/CD pipeline creation
  • Generative AI and LLM integration

Nice-to-have

  • Insurance domain knowledge
  • Vector database expertise
  • Document AI and OCR tools
  • LangChain or LlamaIndex frameworks
  • Responsible AI and safety practices
  • Knowledge graph implementation

Key Requirements

  • 5 to 9 years experience with Bachelor's degree
  • 4+ years Python and SQL development
  • 1+ years in insurance or financial services preferred
  • Authorized to work in US without sponsorship

Work Rights

Must be authorized to work in the US without company sponsorship

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