Ind - Senior Staff Engineer, Data

Hartford Fire Insurance

Puppalaguda Village, India
On-site
Real-time data streaming
Ai and agentic solutions
Retrieval-augmented generation (rag)
Hartford Fire Insurance is seeking a Senior Staff Engineer specializing in Data to lead complex data and AI engineering initiatives. The role requires extensive experience in data engineering, cloud technologies, and generative AI solutions, with a focus on designing and implementing scalable data pipelines and systems

Job Summary

  • Senior Data and AI Engineering lead for large and complex data ecosystem leveraging data domains, data products, cloud and modern technology stack.
  • Design and Implement efficient Retrieval-Augmented Generation (RAG) architectures and integrate with enterprise data infrastructure.
  • Mentoring junior team members and leading communities of practice to deliver high-quality data and AI solutions while promoting best practices, standards, and adoption of reusable patterns.

Matching Summary

Match Score: 85

Hartford Fire Insurance is seeking a Senior Staff Engineer specializing in Data to lead complex data and AI engineering initiatives. The role requires extensive experience in data engineering, cloud technologies, and generative AI solutions, with a focus on designing and implementing scalable data pipelines and systems.

Skills & Requirements

Must-have

  • Real-Time Data Streaming
  • AI and Agentic solutions
  • Retrieval-Augmented Generation (RAG)
  • Knowledge Graphs (Neo4j, Amazon Neptune)
  • Synthetic data generation
  • Semantic layer and Real time analytics
  • Data governance practices

Nice-to-have

  • GenAI solutions to insurance
  • AI driven Data Engineering productivity
  • Modern technology stack
  • Scaled Agile principles

Key Requirements

  • 10+ years data engineering experience
  • 5+ years cloud platforms (AWS/GCP/Azure)
  • 2+ years supporting Generative AI
  • 3+ years Snowflake experience
  • 3+ years building Data and AI pipelines
  • 2+ years enterprise grade GenAI data solutions
  • 2+ years prompt engineering techniques
  • 2+ years RAG pipelines implementation
  • 3+ years Python programming
  • 2+ years vector/graph/NoSQL databases
  • Bachelor's or master's degree in computer science

Work Rights

Not specified

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