Demo

Senior Gen AI Data Engineer

The Hartford
Chicago, IL Full Time
POSTED ON 2/20/2025
AVAILABLE BEFORE 3/19/2025
Sr Data Engineer - GE07BE

Data Engineer - GE08AE

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.

Step into the future with The Hartford as a Data Engineer / Sr Data Engineer, where Generative AI isn't just a buzzword—it's central to our strategy. Join a team that's pioneering AI-driven solutions in underwriting, claims processing, and customer service, transforming how we operate and make decisions. As part of our horizontal language-focused Gen AI team, you'll tackle advanced use cases and shape the development of Gen AI capabilities across the organization. Here, your work will have a tangible impact, driving innovation and operational excellence with cutting-edge AI tools. If you're looking for a role where your expertise is not only valued but essential to our success, The Hartford is the place for you.

We are looking for candidates with strong fundamental skills, who are passionate about keeping up with the quick evolution of NLP and Gen AI technologies.

This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).

Responsibilities & Qualifications

  • Cloud-based pipeline development: We build data pipelines on scalable, rubust architectures, ensuring that large volumes of high-quality data are reliably ingested, cleaned, and fed into AI systems. This requires deep expertise in cloud architectures and data engineering tools.
  • Software development: We deploy AI systems in production, so you need to write production-grade code in Python. This includes object-oriented programming, unit testing, version control using Git, and familiarity with (or curiosity about) design patterns and best practices in software architecture.
  • Problem solving: We develop first-time solutions to unique challenges, requiring strong analytic skills, resourcefulness, experience in crafting AI solutions, and judgment about the feasibility of different approaches.
  • ML, NLP, and Gen AI Fundamentals: Our AI systems integrate predictive models, rule-based decisions, and LLM interactions. Your understanding of theory and practice will enable you to solve problems and manage unique implementations .
  • Communication and collaboration: We partner on projects with other teams and serve as a Gen AI expertise source across the enterprise. A collaborative approach and effective communication are key to your success.
  • Additional qualifications:
    • Professional experience with Gen AI using LLMs
    • Experience working in Agile
    • Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

    Compensation

    The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

    $100,960 - $ 175,800

    The posted salary range reflects our ability to hire at different position titles and levels depending on background and experience.

    Equal Opportunity Employer/Females/Minorities/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

    About Us | Culture & Employee Insights | Diversity, Equity and Inclusion | Benefits

    Salary : $100,960 - $175,800

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