Jobs at The Hartford Financial Services Group, Inc.

Lead engineering teams in transforming Employee Benefits applications, develop software architecture in AWS, and mentor junior engineers while implementing best practices and standards.

The Claims Specialist will manage complex general liability claims, conduct investigations, determine coverage, and collaborate with legal partners while ensuring high-quality resolution outcomes.

The Investment Data Analyst will centralize and enhance data automation, manage reporting functions, support data requests, and ensure data quality. Responsibilities include data manipulation for AI integration and overseeing the Investment Research Library.

The Project Manager coordinates cross-functional teams within the Actuarial Strategic Modeling organization, driving delivery, managing multiple projects, and facilitating communication across stakeholders.

Seeking a Data Engineer with 3+ years of experience in data solutions, cloud technologies, AI-driven systems, and strong programming skills in Python.

The role involves leading data and AI engineering for complex ecosystems, focusing on designing data pipelines, integrating AI solutions, and ensuring system reliability. Responsibilities include mentoring staff, staying updated on GenAI technologies, and collaborating across teams.

The role focuses on enhancing data reliability and quality, implementing observability tools, automating data operations, and managing incidents to ensure data integrity across pipelines.

The Senior Engineer, Data will design and implement AI data pipelines, develop real-time data solutions, and ensure scalable and reliable data systems for various applications.

The Senior Engineer, Data will create AI data pipelines, ensure scalability and reliability, develop data products, and collaborate with DevOps teams.

The role involves developing AI data pipelines, implementing real-time data streaming, enhancing data capabilities, and collaborating with DevOps to manage data systems effectively.

The role involves building relationships with financial professionals, promoting Hartford Funds products, executing sales strategies, and complying with sales regulations.

The IND Staff Engineer will manage and engineer Big Data platforms on AWS, ensuring operational excellence, design robust systems, mentor teams, and collaborate with engineers and analysts for scalable data solutions.

The role involves building AI data pipelines, managing real-time data streaming, ensuring data reliability, and collaborating with teams to enhance data capabilities to support AI systems.

The AVP Applied AI leads data science and AI capabilities at The Hartford, managing complex AI portfolios and ensuring delivery of business value through scalable models and AI-driven systems. Responsibilities include overseeing team performance, technical direction, AI governance, and alignment with business outcomes, along with collaboration across departments and continuous improvement initiatives.

The AVP of Reliability Engineering manages IT service reliability, drives cloud transformation, and enhances automation capabilities. This role involves leading teams, improving cloud infrastructure, and ensuring operational excellence in a fast-paced, collaborative environment.

Lead the development and implementation of data and AI engineering solutions, managing complex data ecosystems, and ensuring data scalability and reliability. Mentor junior engineers and drive AI integration with diverse data types and applications, while collaborating across teams to enhance data capabilities.

The role involves leading data and AI engineering, designing scalable data systems, developing real-time data pipelines, and mentoring junior engineers while ensuring high-quality data management practices.

The AI Platform Engineer will develop features for AI operations, enhance platform functionality, architect solutions, and mentor team members across data engineering and AI technologies.

Lead data and AI engineering initiatives by designing scalable data ecosystems, building pipelines, integrating AI solutions, and mentoring junior engineers while ensuring compliance and best practices in data management.

Partner with Operations leaders to own and explain monthly expense performance, lead planning and forecasting, translate workforce models into financial impact, and drive process improvements and automation to enhance forecasting accuracy and analytical efficiency.