Sr Applied Ai Scientist, Knowledge Graph

Hartford Fire Insurance

Base: $110,720 - $166,080; bonus/equity: short-ter...
Not specified in the job posting.
Knowledge graph architecture design
Entity resolution and linkage approaches
Neuro-symbolic ai reasoning strategies
The Hartford Fire Insurance is seeking a Sr Applied AI Scientist to lead the development of knowledge graph and graph-reasoning solutions as part of their AI Accelerator team. This role will focus on applied research and prototyping for enterprise solutions, particularly in fraud detection and relationship discovery

Job Summary

  • This role focuses on advancing the enterprise Knowledge Graph strategy by building foundational capabilities for relationship-aware AI across underwriting, claims, and pricing.
  • The successful candidate will conduct applied research in neuro-symbolic AI and prototype graph-enabled solutions for high-impact business problems such as fraud detection.
  • Join the AI Accelerator team to convert advanced AI into enterprise-ready reusable solutions while embedding compliance, trust, and auditability into every product delivered.

Matching Summary

Match Score: 85

The Hartford Fire Insurance is seeking a Sr Applied AI Scientist to lead the development of knowledge graph and graph-reasoning solutions as part of their AI Accelerator team. This role will focus on applied research and prototyping for enterprise solutions, particularly in fraud detection and relationship discovery.

Salary

Base: $110,720 - $166,080; Bonus/Equity: Short-term or annual bonuses, long-term incentives; Benefits: On-the-spot recognition included

Skills & Requirements

Must-have

  • Knowledge graph architecture design
  • Entity resolution and linkage approaches
  • Neuro-symbolic AI reasoning strategies
  • Python and modern ML data tooling
  • Graph analytics and GNNs experience

Nice-to-have

  • Experience with Graph RAG workflows
  • Familiarity with RDF/OWL standards
  • Background in explainable AI governance
  • Agentic workflows and tool-augmented LLMs
  • Enterprise AI operationalization experience

Key Requirements

  • Master's or PhD in Computer Science or related field
  • 3+ years industry experience (PhD) or 5+ years (MS)
  • Authorized to work in US without sponsorship
  • No STEM OPT I-983 Training Plan endorsement supported

Work Rights

Must be authorized to work in US without company sponsorship

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