AI Product Engineering Director

Looking to join a growing company dedicated to helping others? We offer that, plus competitive salaries, a culture of learning, and a fast-paced environment. This is a hybrid position with 3 days in-office. Join our team to help make a difference in the lives of others!

Applicants must be authorized to work for ANY employer in the U.S. We do not sponsor employment visas or other immigration processes to attain or maintain employment eligibility. Remote positions are open to applicants based anywhere in the continental U.S. Hybrid positions are open to applicants based in the Austin, Texas area.

The Continental General family of companies has provided insurance, including life and long-term care policies, to individuals and groups for over 30 years, and currently supports over 200,000 policyholders. Both our insurance company, Continental General Insurance Company, and our third-party administrator, Continental General Services, are committed to the continuous development of our infrastructure, processes, and people. The group is actively growing through expansion of both its insurance portfolio and its administrative services.

With each opportunity, we take a collaborative approach to address challenges and provide unique solutions.

The AI Product Engineering Director leads a new software product engineering team, responsible for designing, building, and supporting internally developed platform products that automate operations, streamline document and data flows, and extend AI-enabled capabilities across the enterprise. This is a build-focused team: it owns products through their full lifecycle, from architecture and development through deployment and ongoing support, and the role’s scope of leadership is expected to expand over time as the platform’s operating model matures.

This is a hands-on leadership role. The director owns team performance and product delivery today while setting the team’s 3-5 year technology roadmap and shaping organizational investment in its build capability. Solutions are expected to follow a cloud-first, AWS-native approach and to leverage automation and AI-enabled capabilities wherever appropriate to improve efficiency, insight, and resilience. This team treats AI as a core part of how it works, not a supplemental tool, applying AI as a force multiplier across the delivery lifecycle to build and ship faster.

Architectures should be modern, flexible, scalable, and loosely coupled.

• Lead, coach, and develop a team that may include software engineers, platform engineers, integration specialists, and data/ML engineers, adapting the team’s composition as its focus evolves.
• Establish clear expectations, accountability, and performance standards.
• Hire, onboard, develop, and retain technical talent.
• Manage team capacity, priorities, and performance, including addressing underperformance when necessary.
• Foster a culture of ownership, continuous improvement, collaboration, and innovation.
• Own delivery outcomes for the team’s software products end to end (architecture, build, deployment, and ongoing support), setting the team’s 3-5 year technology roadmap and aligning investment with business objectives.
• Design and deliver automation solutions that reduce manual effort and operational load and improve efficiency across the organization.
• Design products for operational resilience, including self-monitoring and, where feasible, self-healing, to reduce production toil and support the platform’s automation goals.
• Own the health, security configuration, and lifecycle of the team’s products, including availability, performance, and production support.
• Own the integration and event-driven architecture that connects the…