Senior AI Solutions Engineer - New Business

Job DetailsJob Location: HeadQuarters CGM - Austin, TX 78717Position Type: Full TimeSalary Range: $115,000.00 - $130,000.00 Salary/yearSENIOR AI SOLUTIONS ENGINEER - NEW BUSINESS
(Full Time, Salary, Exempt)

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! 

About Continental General:

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.

Position Summary:

The AI Solutions Engineer is a fundamentally different role from traditional software engineering. This role exists within small, domain-aligned delivery teams of 3–5 members where AI is not a supplemental tool, it is the operating model. These teams are designed to deliver at a scale and velocity that far exceeds traditional engineering teams by leveraging AI as a force multiplier across every phase of the delivery lifecycle.

This role carries a dual mandate:
1. How you build — Design, operate, and continuously evolve near-autonomous, AI-driven delivery pipelines. From requirements decomposition through deployed, tested, and monitored code, the objective is minimal human intervention with maximum engineering judgment applied at critical decision points.
 

2. What you build — Deliver AI-native solutions that fundamentally re-imagine how users interact with insurance systems. This means extreme flattening of traditional UI layers in favor of intelligent, AI-enabled interfaces. The solutions themselves should be as autonomous as the pipelines that produce them, self-monitoring, self-healing, and requiring minimal human oversight.
 

These teams operate as domain owners within value stream verticals aligned to core insurance business functions (e.g., Sales Solutions, Customer Solutions, Financial Solutions). Each team owns full-stack delivery including platform, integration, and business-facing systems within their assigned domain. There are no hand-offs to other teams for design, architecture, or implementation. Ownership is real and accountability is complete.
 

The AI Solutions Engineer operates within a regulated Life, Annuity & Health insurance environment. Autonomous delivery and intelligent solutions must be built within the boundaries of HIPAA, SOC 2, and State Department of Insurance regulations. The aspiration is to push right to the edge of those boundaries, not to avoid them, but to maximize the value of autonomy within the constraints that protect policyholders and the enterprise.

The organization follows principles derived from Team Topologies and Amazon's Single Threaded Owner model. Domain delivery teams are supported by platform teams (Infrastructure/Cloud, IT
Operations) who manage organizational commons such as AWS account management, core networking, and edge ingress/egress. Enablement teams (DevOps, QA) provide knowledge resources and maintain separation of duties, with DevOps holding administrative authority over final production deployments. An umbrella security team provides overarching governance. An AI Steering Committee sets enterprise AI strategy and governance guardrails. AI consultants are available to teams for tooling landscape evaluation and guidance.
 

The primary AI development vehicle is Claude Code via AWS Bedrock, but the toolchain is explicitly non-fixed. The landscape is evolving rapidly, and these teams are expected to evolve with it, evaluating, adopting, and discarding tools as the technology advances. The organization empowers teams to find the right tools for their needs while maintaining alignment with enterprise governance.

Key Responsibilities:

AI-Native Engineering & Delivery

Design, build, and operate AI-driven delivery pipelines that approach near-autonomous execution from requirements decomposition and story generation through code generation, testing, security scanning, and deployment orchestration.
Build and maintain self-monitoring and self-healing systems that minimize the need for human intervention in production operations, while maintaining audit traceability required by HIPAA, SOC 2, and State’s Department of Insurance regulatory frameworks.
Leverage AI agents and agentic workflows across the full software delivery lifecycle, including automated test gene