Jobs at The Hartford Financial Services Group, Inc.

Support catastrophe modeling and reporting for Middle and Large Business across natural perils, terrorism, and non-CAT metrics; communicate model outputs to business segments; oversee monthly/quarterly/annual reporting and collaborate with internal stakeholders.

Lead underwriting strategy and execution for Captives Solutions (Single Parent and Group Captives). Manage portfolio performance, underwriting appetite, authority/referral governance, data and forecasting, technology modernization, and cross-functional partnerships. Drive profitable growth, underwriting quality, talent development, and operating model efficiencies to scale a loss-sensitive captive platform.

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

Design, build, and maintain solutions using Java and AWS, develop APIs, contribute to cloud migration, and uphold architectural standards within an agile team.

Lead financial reporting and booking for Loss and LAE reserves, overseeing GAAP and Statutory results for a $24B+ IBNR portfolio. Manage a team of up to six, drive monthly/quarterly close, disclosures, variance analysis, SOX controls, audit readiness, cross-functional alignment with Actuarial and Finance, and lead process modernization and executive reporting.

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.

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.

Lead and architect large-scale data products and pipelines across teams. Design and deliver ELT/ETL solutions, evaluate tools, ensure scalability and integrity, influence technology decisions, and research emerging big-data/cloud methodologies (AWS, Hadoop/EMR, Spark, Kafka, Snowflake). Partner with architects and stakeholders to drive implementation and operationalize production workloads.

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.

Hands-on technical leader designing and building scalable, cloud-native claims applications on AWS. Architect and implement Generative/Agentic AI (LLMs, RAG, agents), mentor engineers, drive DevOps and IaC (Terraform), and collaborate with cross-functional teams to deliver secure, maintainable enterprise software.

Architect and build production-grade agentic AI systems and platforms using Google ADK, MCP, LangChain/LangGraph, and AlloyDB. Develop agent harnesses, RAG/GraphRAG pipelines, vector retrieval and memory stores, Terraform-based GCP infrastructure, CI/CD for model deployments, and enterprise security and governance for sessioned agent interactions.

Lead design and delivery of scalable, secure software across full stack and cloud. Collaborate with product and architecture teams, mentor engineers, drive best practices, integrate AI-assisted tools, and participate in the full SDLC to ensure system stability and performance.

Analyze and report investment results for SEC and financial reporting; support quarterly credit loss reviews, valuation and accounting assessments; maintain SOX controls; drive process improvements and automation using TM1, data warehouse and AI tools; prepare disclosures for 10-Qs/10-Ks and investor supplements; collaborate with investment analysts and finance leadership.

Litigate high-exposure civil tort cases (construction accidents, premises, products, commercial auto) from inception through trial. Prepare pleadings, discovery, motions, depositions, trials and appeals; advise clients and claims teams; develop defense strategies; communicate with courts, witnesses, and opposing counsel; manage efficient case resolution.

Develop, configure, and customize Duck Creek Billing modules and workflows (invoicing, payments, commissions, refunds, collections). Build manuscripts, web services, and batch processes; write C#/.NET customizations; use SQL Server for analysis. Integrate DCB with policy, claims, payment gateways and third-party systems. Support deployment, UAT, production support, troubleshooting, system upgrades, and documentation.

Lead infrastructure resilience for cloud and SaaS systems by implementing observability, IaC, CI/CD automation, incident triage and self-healing. Build tooling, alerts, AI-driven anomaly detection and runbooks, partner with architecture and infrastructure teams to improve reliability, performance, and security.

Lead development and maintenance of workers' compensation pricing methodologies and tools. Update model parameters, drive pricing initiatives, collaborate with underwriting/product/data science/IT, provide profitability analyses, and support implementation to improve accuracy, segmentation, and profitable growth across business segments.

Lead Quality Engineering strategy and operating model. Design and scale automated test frameworks, create and review automation, diagnose complex defects, improve system testability and reliability, manage end-to-end quality execution, mentor engineers/SDETs, and drive AI/GenAI testing innovations.

Senior technical leader responsible for the reliability, resilience, availability, and performance of enterprise data platforms and pipelines. Define RE strategy, SLO/SLI frameworks, observability, AIOps automation, and IaC/CI-CD standards. Lead cross-organizational initiatives, mentor engineers, and embed reliability into data product lifecycles across AWS/GCP, Snowflake, EMR/Hadoop/Spark, and container platforms.

Lead infrastructure resilience by implementing observability, IaC, automation, and AI-driven detection to ensure cloud and SaaS system stability. Drive tooling, alerts, self-healing, CI/CD optimization, incident triage/restore, and partner across architecture and engineering to improve performance, reliability, and cost efficiency.