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.

Design, build, and operationalize production-grade ML and generative AI solutions and MLOps services. Collaborate with data, product, cloud, and architecture teams to deploy and monitor models in AWS and GCP. Implement CI/CD, IaC, workflow automation, and API services to ensure scalable, repeatable model deployments and observability.

Design, build, and operationalize production-grade AI/Machine Learning solutions and MLOps services. Deploy models and API services to AWS and GCP using CI/CD and IaC, implement workflow automation, monitor post-production performance, research generative/ML techniques, and mentor junior engineers while collaborating with cross-functional data, cloud, and architecture teams.

Provide administrative and processing support for claims: handle inbound/outbound calls, process correspondence and claim transactions, assign tasks, enter new claims, meet productivity targets, and maintain accurate claim documentation while delivering professional customer service.

Join an Agile Scrum team to define, scope, and certify domain-level data products (quote, policy, premium, loss). Perform end-to-end business/data analysis, stakeholder liaison, data stewardship, use GenAI and Big Data tools for mapping and profiling, ensure data quality and governance, and support delivery of analytics and the product (data asset) roadmap.

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

The General Liability Litigation Senior Claim Representative/Consultant investigates and resolves general liability claims, ensuring compliance with standards and maintaining customer relationships.

Lead design and implementation of AI-ready data platforms and scalable batch/streaming pipelines to support Generative AI and RAG solutions. Own architecture, reliability, governance, observability, and operationalization of production GenAI data systems across cloud environments. Mentor engineers and collaborate cross-functionally to integrate AI data products into enterprise workflows.

Lead and build enterprise third‑party data APIs: own roadmap and product decisions, design and deliver secure, scalable REST APIs, collaborate with vendors and domain teams, ensure reliability/observability with SRE/Reliability Engineering, translate business needs into technical requirements, and mentor data engineers while driving API governance, performance, and cost optimization.

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.

The Small Business Territory Manager is responsible for managing agency relations, achieving sales objectives, and developing profitable business in assigned territories through performance-driven agency management.

The Applied AI Data Scientist will create and optimize ML and GenAI models, design pipelines, run experimental evaluations, and integrate solutions across cloud platforms while collaborating with teams to drive business impact.

Lead planning, forecasting, and performance analysis for P&C lines; partner with finance, actuarial, and business leaders to provide insights, govern models, automate processes, and prepare executive reporting. Drive assumptions for loss ratios, catastrophes, reinsurance analyses, and earnings prep while mentoring a team and implementing analytics and AI-enabled improvements.

Perform reserving studies and advise management on reserve decisions; develop monitoring tools and diagnostics; improve data quality; apply R/SQL to enhance processes; collaborate with Claims and Reserving across Financial Lines, Bond, and Credit & Political Risk.

Lead large Applied AI portfolios, ensuring value delivery through advanced AI systems while managing risks and governance across multiple teams. Collaborate with senior leaders to align AI initiatives with business outcomes and oversee effective execution of AI strategies.

The Assistant Director & Associate Actuary analyzes and evaluates actuarial pricing performance and develops state performance metrics. They communicate findings, create analytical tools, and enhance partnerships with various teams to improve organizational capabilities.

The Leave Management Analyst investigates claims to determine eligibility for benefits and collaborates with stakeholders on return-to-work plans while ensuring compliance with standards and regulations.

Lead engineering teams to drive transformation in Employee Benefits applications using Java and AWS. Design scalable technical solutions, mentor junior engineers, and implement standards for quality assurance.

The Executive Underwriter will manage ocean marine underwriting, focusing on marine liabilities, hull & machinery, and cargo. Responsibilities include collaborating with partners, analyzing data, and making decisions to benefit customers. The role requires strong relationship-building, critical thinking, and communication skills, along with 5+ years of relevant experience.