AI Solutions Engineering Manager - New Business

Continental General • Austin, TX

1d • $145,000 - $165,000 • Hybrid

About The Position

AI SOLUTIONS ENGINEERING MANAGER - 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. Role Context: The AI Solutions Engineering Manager owns a complex domain area within a value stream vertical. Youare responsible for ensuring your teams collectively deliver on value stream objectives while maintainingthe small-team, AI-native delivery model. You balance organizational scale with the intimacy and empowerment that makes small teams effective. You are a key voice in shaping the organization's AI delivery strategy and talent development pipeline.

Requirements

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. Equivalent practical experience will be considered.
• 8–12 years of experience in software engineering and technology leadership, with substantial experience in AI-driven delivery environments.
• Proven track record of leading technical teams, delivering complex solutions in a fast-paced environment.
• Demonstrated experience scaling AI-native delivery practices across an organization.
• Strong strategic thinking, ability to connect technology investments to business outcomes.
• Deep understanding of cloud-native architecture and modern delivery practices.
• Working knowledge of regulatory compliance frameworks in regulated industries (HIPAA, SOC 2, State DOI or equivalent).
• Proven talent development track record, building teams, developing leaders, retaining top performers.
• Excellent executive communication and stakeholder management skills.
• Experience with budget management and resource allocation.
• Ability to work on-site 3 days per week in the Austin, TX area.

Responsibilities

• 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 generation and execution, AI-driven code review, anomaly detection, and auto-remediation.
• Continuously evaluate, adopt, and evolve AI toolchains and development methodologies, maintaining alignment with the AI Steering Committee's governance framework while exercising team-level autonomy in tool selection.
• Operate within CI/CD pipelines and collaborate with DevOps enablement teams for production deployment authority, maintaining clean separation of duties.
• Design and deliver AI-native solutions that replace traditional, UI-heavy interactions with intelligent,AI-enabled interfaces that are conversational, predictive, and adaptive.
• Architect cloud-native solutions on AWS, leveraging managed services and serverless patterns in alignment with the AWS Well-Architected Framework.
• Design secure integration solutions connecting cloud-based applications with vendor SaaS platforms and internal systems, ensuring data security, integrity, and compliance with HIPAA and SOC 2requirements.
• Apply intelligent automation, predictive analytics, and AI-assisted workflows to improve operational efficiency, customer experience, and business decision-making within insurance domain systems.
• Own all system-specific cloud architectural elements within the team's domain, consuming shared platform services (networking, account management, edge infrastructure) provided by platform teams.
• Operate as a member of a small, high-accountability delivery team (3–5 members) aligned to a specific business domain within a value stream vertical.
• Own full-stack delivery within the assigned domain including platform, integration, and business/customer-facing solutions and systems.
• Align delivery outcomes to value stream objectives, understanding how technical decisions impact business results in the context of Life, Annuity & Health insurance operations.
• Take genuine ownership of domain systems end-to-end, including architecture decisions, solution design, implementation, and production health.
• Collaborate with platform teams (Infrastructure/Cloud, IT Operations) to consume and contribute toshared organizational services and standards.
• Engage with enablement teams (DevOps, QA) as knowledge resources and partners, respecting separation of duties while driving delivery velocity.
• Align with the enterprise AI Steering Committee on governance, strategy, and evolving AI standards.
• Consult with organizational AI consultants on tooling landscape evaluation and emerging capabilities.
• Work with product management, business stakeholders, and vendor representatives to translate business needs into intelligent, AI-native solutions.
• Provide transparent communication on delivery status, risks, and progress to stakeholders and leadership.
• Operate within the regulatory frameworks governing Life, Annuity & Health insurance, including HIPAA (protected health information), SOC 2 (security controls), and State Department of Insurance regulations.
• Ensure that AI-driven delivery pipelines and autonomous solutions maintain full audit traceability and comply with enterprise security policies.
• Implement and maintain security best practices including authentication and authorization protocols (OAuth 2.0, OpenID Connect, SAML), API management, data protection, and encryption.
• Understand and respect the regulatory boundaries that constrain autonomous delivery and AI-native solutions, maximizing autonomy within those constraints rather than circumventing them.
• Stay at the forefront of AI engineering capabilities, emerging tools, and evolving delivery paradigms.
• Evaluate new technologies, frameworks, and AI capabilities for applicability to the team's domain and delivery model.
• Evolve personal and team delivery processes toward greater autonomy, efficiency, and quality.
• Foster a culture of experimentation and innovation within the team, encouraging the exploration of new approaches while maintaining delivery commitments.
• Lead and develop multiple AI Solutions Engineers and their delivery, ensuring consistent delivery standards and team health.
• Own delivery accountability across multiple domains within a value stream vertical, aligning team capacity and priorities to strategic business objectives.
• Drive strategic workforce planning, building and maintaining a talent pipeline of AI-native engineers who can sustain the small-team, high-autonomy operating model.
• Shape the organization's AI-native delivery strategy in partnership with the AI Steering Committee and technology leadership.
• Own compliance accountability, ensuring HIPAA, SOC 2, and State DOI regulatory requirements are consistently met.
• Manage vendor relationships, partnership evaluations, and build-vs-buy decisions that impact the teams' domains.
• Drive cross-team collaboration and knowledge sharing, ensuring innovation and best practices propagate across delivery teams.
• Provide strategic communication to senior leadership on delivery outcomes, risks, investments, and opportunities.
• Manage budget and resource allocation, optimizing for delivery outcomes and team sustainability.

Benefits

• Competitive Salary & Target Bonus Program
• Retirement Savings – 401(k) with a company match
• Comprehensive Medical insurance through BlueCross BlueShield of Texas.
• Company-paid dental, vision, short-term & long-term disability, and life insurance.
• Work-Life Balance – This role offers 20+ days of PTO, 10 paid holidays, and paid volunteer time off.
• Flexible Work Options & Perks – Hybrid opportunity, wellness programs, and weekly paid lunch for onsite staff.
• Health Savings Accounts (HSA) & Flexible Spending Accounts (FSAs) – Includes a company match for HSAs.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager