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The IND Lead Software Engineer will develop and maintain software in Guidewire ClaimCenter, troubleshoot issues, mentor team members, and integrate systems within Agile environments.

The IND Staff Engineer will work on statistical modeling and machine learning, focusing on model evaluation, deployment, and communication of results to varied audiences. Responsibilities include using technologies like Python and SQL, and working within enterprise AI governance norms.

Lead the development of complex data solutions and AI pipelines, using modern technologies to ensure system reliability and scalability while mentoring junior staff.

The role involves designing and developing cloud-native applications using Pega, integrating with enterprise systems, and mentoring junior developers while ensuring high-quality and scalable solutions.

Own and grow a defined Dallas territory selling small-group employee benefits through broker development and consultative selling. Build pipeline, educate producers on products, close group dental, vision, life, disability and supplemental health business, and balance virtual engagement with in-market relationship building to drive profitable growth.

Drive sales of Hartford Funds products within a defined territory by building relationships with financial advisors and firms, prospecting new clients, presenting product knowledge, and delivering regular market and product updates. Role requires in-person, virtual outreach and up to 50% travel.

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.