✦ Luna Orbit — AI & Machine Learning

Lead AI Data Engineer - Hybrid

at Hartford Financial Services Group

📍 6 Locations Hybrid 💰 $135K – $202K USD / year Posted March 14, 2026
Salary $135K – $202K USD / year
Type Not Specified
Experience lead
Exp. Years Not specified
Education Not specified
Category AI & Machine Learning

This role involves leading AI data engineering projects, focusing on real-time data streaming, AI pipelines, and supporting GenAI solutions within the insurance sector, with mentorship responsibilities.

  • Lead AI data pipelines
  • Mentor junior engineers
  • Implement real-time data streaming
  • Support GenAI solutions
  • Collaborate with cross-functional teams

The technical environment includes Apache Kafka, AWS Kinesis, Spark streaming, and graph databases, emphasizing scalable, real-time AI data solutions and leadership.

The ideal candidate is a lead-level AI data engineer with extensive experience in real-time data streaming, AI pipelines, and graph databases, with a focus on mentoring and community engagement within the insurance industry.

AI Data PipelinesData EngineeringApache KafkaAWS KinesisSpark streamingGenAICollaborationData pipelines
Grounding strategiesEmbeddingGroundingReal-time data streamingGraph database
Apache KafkaAWS KinesisSpark streamingGraph database
AI Data PipelinesData EngineeringApache KafkaAWS KinesisSpark streamingGraph databaseGenAIData pipelinesData streaming pipelinesInsurance
AI Data PipelinesData EngineeringPre-processingExtractionChunkingEmbeddingGrounding strategiesAI-driven systemsData pipelinesData streaming pipelinesApache KafkaAWS KinesisSpark streamingGraph database solutionsGenAI
CollaborationDecision makingConflict resolutionRelationship buildingInnovationExcellenceMentoringCommunity engagement
Industry Insurance
Job Function Leading AI data engineering initiatives and supporting scalable data solutions for insurance AI applications.
Role Subtype Lead Data Engineer
Tech Domains Apache Kafka, Amazon Web Services, Spark streaming, Graph database
AI Data PipelinesData EngineeringApache KafkaAWS KinesisSpark streamingGraph databaseGenAIData pipelinesData streaming pipelinesAI solutionsData engineering strategiesInsuranceHybridData scienceData productsReal-time dataAI data pipelinesData engineeringData streaming

Lack of experience with Kafka, Kinesis, or Spark streaming, No leadership or mentoring experience, No AI data engineering background

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