The Hartford

Senior GenAI Data Engineer

The Hartford

full-time

Posted on:

Location Type: Remote

Location: Remote • Connecticut, Illinois, North Carolina, Ohio • 🇺🇸 United States

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Salary

💰 $135,040 - $202,560 per year

Job Level

Senior

Tech Stack

AWSAzureCloudEC2ETLGoogle Cloud PlatformNoSQLPythonSparkSQL

About the role

  • Develop AI-driven systems to improve data capabilities, ensuring compliance with industry best practices.
  • Implement efficient Retrieval-Augmented Generation (RAG) architectures and integrate with enterprise data infrastructure.
  • Collaborate with cross-functional teams to integrate solutions into operational processes and systems supporting various functions.
  • Stay up to date with industry advancements in AI and apply modern technologies and methodologies to our systems.
  • Design, build and maintain scalable and robust real-time data streaming pipelines using technologies such as GCP, Vertex AI, S3, AWS Bedrock, Spark streaming, or similar.
  • Develop data domains and data products for various consumption archetypes including Reporting, Data Science, AI/ML, Analytics etc.
  • Ensure the reliability, availability, and scalability of data pipelines and systems through effective monitoring, alerting, and incident management.
  • Implement best practices in reliability engineering, including redundancy, fault tolerance, and disaster recovery strategies.
  • Collaborate closely with DevOps and infrastructure teams to ensure seamless deployment, operation, and maintenance of data systems.
  • Mentor junior team members and engage in communities of practice to deliver high-quality data and AI solutions while promoting best practices, standards, and adoption of reusable patterns.
  • Apply AI solutions to insurance-specific data use cases and challenges.
  • Partner with architects and stakeholders to influence and implement the vision of the AI and data pipelines while safeguarding the integrity and scalability of the environment.

Requirements

  • 8+ years’ Strong hands-on experience programming skills in Python.
  • 7+ years of data engineering Strong hands-on experience including Data solutions, SQL and NoSQL, Snowflake, ETL/ELT tools, CICD, Bigdata, Cloud Technologies (AWS/Google/AZURE), Python/Spark.
  • 3+ years of data engineering experience focused on supporting Generative AI technologies.
  • 2+ years Strong hands-on experience implementing production ready enterprise grade GenAI data solutions.
  • 3+ years’ experience in implementing Retrieval-Augmented Generation (RAG) pipelines, integrating retrieval mechanisms with language models.
  • 3+ years’ Experience of vector databases and graph databases, including implementation and optimization.
  • 3+ years’ Experience in processing and leveraging unstructured data for GenAI applications.
  • 3+ years’ Proficiency in implementing scalable AI driven data systems supporting agentic solution (AWS Lambda, S3, EC2, Langchain, Langgraph).
  • 3+ years’ Experience with building AI pipelines that bring together structured, semi-structured and unstructured data. This includes pre-processing with extraction, chunking, embedding and grounding strategies, semantic modeling, and getting the data ready for Models and Agentic solutions.
Benefits
  • Other rewards may include short-term or annual bonuses
  • long-term incentives
  • on-the-spot recognition

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
PythonSQLNoSQLSnowflakeETLELTBig DataGenerative AIRetrieval-Augmented GenerationData Engineering
Soft skills
collaborationmentoringcommunicationproblem-solvingleadership