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.
This role can have a Hybrid or Remote work schedule. Candidates who live near one of our locations will have the expectation of working in an office 3 days a week (Tuesday through Thursday).
- Deep understanding of the fundamentals of ML, NLP, and Gen AI: Our AI systems combine predictive models, rule-based decisions, and interactions with LLMs. Your grasp of theoretical underpinnings and practical implications will help you match solutions to problems and handle non-standard implementations.
- 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.
- Experimentation: We guide the development of AI solutions by evidence and measure performance of specific steps and end-to-end solutions. You will need to design pragmatic experiments with solid methodology and meaningful metrics.
- Data processing and analysis: While our focus is on unstructured data with Gen AI, we still regularly handle tabular datasets, requiring mastery of the traditional data science toolkit (e.g., pandas, SQL, Excel, matplotlib).
- 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
- Experience with cloud architecture
- 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:
$110,720 - $166,080Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
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