Jobs at The Hartford Financial Services Group, Inc.

Lead and coach multiple agile teams to deliver insurance products. Facilitate Scrum ceremonies, remove impediments, track agile metrics, coordinate releases, mentor junior Scrum Masters, and promote CI/CD and automated testing for continuous improvement.

Lead strategy, development, and scaling of enterprise AI and data science products. Own vision and roadmap, drive POC→MVP→production, partner with engineering and data science, ensure architecture, governance, security, and compliance, define success metrics, and drive adoption in regulated environments.

Research, prototype, and implement generative and ML algorithms; design, develop, deploy, and maintain Models-as-a-Service; lead MLOps best practices and mentor engineers; collaborate across Data, Cloud, and Architecture teams to deliver model deployments on AWS and GCP.

Design, build, and deploy ML and generative models as services across AWS and GCP. Lead model lifecycle, MLOps, CI/CD, IaC, data pipeline architecture, and mentor junior engineers while collaborating with data, cloud, and business partners.

Lead enterprise risk management activities including ORSA production, internal model governance, regulatory submissions, and board-level risk reporting. Provide forward-looking risk analysis, deliver risk opinions, run deep dives and control assessments, support Lloyd's/PRA interactions, and continuously develop the risk framework while coaching and influencing senior stakeholders.

Design, build, and deploy end-to-end AI/Generative AI solutions (RAG, agents, classification, forecasting, recommendations). Engineer domain knowledge bases, automate regulatory filing support, handle multi-format unstructured data and retrieval, author prompts/agents, define evaluation/monitoring and safety/guardrails, collaborate with stakeholders and platform teams, and operationalize models with MLOps and governance.

Design, build, and deploy end-to-end AI/ML and generative solutions (RAG, agents, classification, forecasting) for regulatory intelligence, knowledge bases, and customer experience. Lead data prep, modeling, eval/monitoring, deployment, governance, and stakeholder alignment while ensuring compliance, observability, and reusable MLOps patterns.

Lead design and delivery of enterprise-scale data and GenAI pipelines, real-time streaming, semantic layers, RAG and knowledge-graph solutions. Build and oversee data domains, vector/graph databases, synthetic data workflows, monitoring, and deployment with cloud and DevOps teams. Mentor engineers and integrate AI solutions into production aligned with governance.

Build, evaluate, and monitor predictive models (GLMs, GBMs) in Python; validate third-party data and collaborate with vendors; present results to business partners; automate analytical workflows; support model governance, A/B testing, drift monitoring, and compliance; contribute reusable tools and documentation.

Lead design and delivery of scalable data and GenAI pipelines, real-time streaming, semantic layers, knowledge graphs, and RAG integrations. Build cloud-native, production-grade data products, mentor engineers, and collaborate with architects and stakeholders to operationalize AI-driven solutions while enforcing governance, reliability, and observability.

Senior Oracle PL/SQL Developer responsible for designing, developing, and maintaining Oracle database objects (packages, procedures, functions, triggers), optimizing SQL/PLSQL performance, troubleshooting production issues, and collaborating with cross-functional teams to deliver reliable database-driven solutions.

The Senior Software Engineer will design, develop, and maintain scalable APIs and cloud-native applications, ensuring quality and performance while collaborating with teams to achieve strategic objectives in a hybrid setting.

Perform accounting, analysis, reconciliation, and reporting for derivative instruments and limited partnership investments; prepare disclosures for SEC and NAIC filings and inputs for earnings guidance; support hedge accounting, SOX controls, and variance analysis; partner with portfolio management and senior leadership; identify process improvements and leverage generative AI tools.

The Advisor Consultant is responsible for increasing sales and market share by building relationships with financial advisors, developing territory plans, and providing marketing support. They must be fully licensed and willing to travel extensively.

The Director of Product & Underwriting oversees product management and portfolio underwriting for financial institutions, driving strategy, engaging in research and collaboration, and leading product development and underwriting guidelines.

The Small Business Territory Manager develops business with independent agencies in Minnesota, meeting sales objectives and building agent relationships to maximize growth and profit.

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.

Design and develop experience and integration APIs using ArcGIS services, while enhancing GIS platform components and collaborating with teams. Requires backend development and GIS expertise.

The Sr. Data Engineer will deliver data solutions for internal partners, lead technical projects, and engage with diverse teams to gather data requirements.

Conduct risk assessments, collaborate with teams to develop risk strategies, leverage data analytics, and serve as a trusted advisor in risk management.