Associate Data and AI Engineer
The HartfordAbout the role
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.
A new role can expand your knowledge and your network and help you learn more about our business. 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 ML and AI-driven systems using technologies such as Snowflake, REST API’s, AWS or GCP cloud infrastructure.
Collaborate with external partners such as Enterprise Data, IT, 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
Develop code that enables real-time modeling solutions to be ingested into front-end systems, and batch solutions which will be implemented through modern scheduling and orchestration tooling.
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.
Required Skills & Experience
Must be authorized to work in the U.S. now and in the future.
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
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