Associate Data and AI Engineer at Thehartford

**Who this is for** This role is for an entry-level engineer eager to develop AI-driven solutions and scalable data pipelines within the insurance claims analyt

Work type: hybrid

Location: Hartford, CT | Columbus, OH | Charlotte, NC | Chicago, IL

Salary: $74,000 – $111,000/yr

Type: Full-time

Summary

**Who this is for** This role is for an entry-level engineer eager to develop AI-driven solutions and scalable data pipelines within the insurance claims analytics domain. **Key highlights** You will work alongside experienced data scientists and engineers to build and maintain robust systems, transforming complex data into actionable AI solutions for predictive and agentic workflows. **You might be a good fit if you...** - Have a degree in Computer Science or a related field with hands-on experience in Python and SQL. - Possess foundational knowledge of ETL concepts, data ingestion, and cloud-based data warehouses (e.g., Snowflake, AWS). - Are comfortable working in an Agile environment and using modern development tools like GitHub for collaboration. - Have excellent communication skills and the desire to bridge the gap between technical data engineering and business strategy.

Job Description

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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.          

The Claims Data Science team is committed to exploring new ways to use data and analytics to solve business problems within the Workers Comp, Employee Benefits, Auto, Property and General Liability claims domains.  The team utilizes broad sources of data, both internal and external, to prevent fraud, enhance claim outcomes, and improve customer experience.

We are passionate about technology and building well architected AI solutions that drive business value for our customers. As an Associate Data and AI Engineer, you will be a key contributor by partnering closely with other experts to design, develop, and implement AI assets for a wide range of new initiatives.

Key Responsibilities
 

The Associate Data and AI Engineer is responsible for Implementing data pipelines that bring together structured, semi-structured and unstructured data to support Predictive, AI and Agentic solutions. Responsibilities can include, but are not limited to the following:

• Build and maintain scalable and robust AI-driven systems using technologies such as Snowflake, REST API’s, Apache Kafka, AWS Kinesis, Spark streaming, or similar.


• Collaborate with external partners such as Enterprise Data, Data Science, Business, Cloud Enablement Team, and Enterprise Architecture teams.


• Translate business requests into technical requirements for small and medium complexity engineering tasks.


• Validate internal and external data sources for availability and quality when asked. Work with SMEs to describe and understand data lineage and suitability for a use case


• Assist in developing code that enables real-time modeling solutions to be ingested into front-end systems


• Produce code artifacts and documentation using GitHub for reproducible results and hand-off to other teams if needed.


• Ensure the reliability, availability, and scalability of AI solutions and systems through effective monitoring, alerting, and incident management.


• Collaborate closely with AI Ops and infrastructure teams to ensure seamless deployment, operation, and maintenance of AI / ML systems.

• Bachelor’s degree in Computer Science, Engineering, IT, Management Information Systems, or a related discipline 


• Experience developing solutions using Python and SQL, and using AI code assistants as part of daily workflow


• Familiarity working with Github


• Familiarity working in an Agile team


• Exposure to data ingestion from a variety of structures including relational databases, Hadoop/Spark, cloud data sources, XML, JSON   


• Exposure to ETL concepts, metadata management and data validation 


• Exposure to Automation tools (Autosys, Cron, Airflow, etc.) required


• Exposure to GCP or AWS Services (i.e. S3, EMR, etc.) a plus 


• Exposure to Cloud Formation, Terraform, TeamCity, Jenkins, Octopus and other IAC tools and platform a plus


• Exposure to Cloud data warehouses, automation, and data pipelines (i.e. Snowflake, Redshift) a plus 


• Able to communicate effectively with both technical and non-technical teams 


• Able to translate complex technical topics into business solutions and strategies

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:

$74,000 - $111,000

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

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