AI Solutions Engineering Manager - New Business

Continental General; Austin (TX); Hybrid; USD 130,000 - 160,000; Full time

Benefits offered by this job

Competitive salary + annual bonus opportunity

401(k) with company match

Medical, dental, vision, life, and disability coverage

20+ days PTO plus paid holidays and volunteer time off

Job summary

Continental General is seeking an AI Solutions Engineering Manager based in Austin, TX. This full-time hybrid role involves leading AI delivery teams and ensuring compliance in cloud-native environments. You're expected to have 8-12 years of experience in software engineering and strong leadership in AI-driven practices, working closely with various stakeholders to drive innovation. The role includes a competitive salary, bonus opportunities, and extensive benefits including 401(k) matching and PTO.

Qualifications

• 8–12 years of software engineering and technology leadership experience.
• Proven experience leading technical teams in fast‑paced, cloud‑native environments.
• Experience operating within regulated environments such as HIPAA, SOC 2.

Responsibilities

• Lead and develop multiple AI Solutions Engineers and domain delivery teams.
• Drive adoption of AI-driven engineering practices and autonomous delivery workflows.
• Oversee cloud-native solution delivery on AWS.

Skills

Leadership in AI solutions

Cloud-native environments

AI-driven engineering practices

AWS architecture

Vendor management

Education

Bachelor’s degree in Computer Science, Engineering, Information Technology

Tools

AWS

AI-assisted development tools

Job description

(Full Time | Exempt | Hybrid – 3 Days In Office)

About Continental General

The Continental General family of companies has provided life, health, and long-term care insurance solutions for more than 30 years and currently supports over 200,000 policyholders nationwide. Through both Continental General Insurance Company and Continental General Services, we continue to invest in modern technology, operational excellence, and AI-driven innovation to transform the insurance experience.

We offer competitive compensation, annual bonus eligibility, strong benefits, and the opportunity to help shape the future of AI-native insurance technology.

Position Summary

This is not a traditional engineering management role.

The AI Solutions Engineering Manager leads multiple small, AI-native delivery teams that leverage AI as the operating model, not just a development tool. These teams are designed for exceptional speed, autonomy, and ownership across the software delivery lifecycle.

This role is responsible for scaling AI-native engineering practices, aligning delivery outcomes to business objectives, and building high-performing teams that operate within regulated insurance environments.

You will partner closely with technical leads, product stakeholders, platform teams, and executive leadership to drive innovation, operational excellence, and intelligent automation across the organization.

What You’ll Do

AI-Native Delivery Leadership

• Lead and develop multiple AI Solutions Engineers and domain delivery teams.
• Drive adoption and scaling of AI-driven engineering practices and autonomous delivery workflows.
• Support teams building AI-native systems using agentic workflows, automation, and AI-assisted development tools.
• Ensure delivery quality, velocity, and operational resilience across multiple business domains.
• Align engineering delivery to strategic business objectives within New Business operations.
• Drive workforce planning, hiring strategy, and talent development for AI-native engineering teams.
• Partner with leadership and the AI Steering Committee to shape enterprise AI delivery strategy.
• Manage priorities, delivery risks, resource allocation, and execution planning.

Architecture, Governance & Compliance

• Oversee cloud-native and AI-enabled solution delivery on AWS.
• Ensure teams operate within HIPAA, SOC 2, and State DOI compliance requirements.
• Support governance standards for AI-driven delivery pipelines, security, auditability, and operational controls.
• Guide build‑vs‑buy decisions, vendor evaluations, and technology investment strategies.

Collaboration & Organizational Leadership

• Partner with product management, business stakeholders, platform teams, and vendors to deliver intelligent business solutions.
• Drive cross‑team collaboration, knowledge sharing, and engineering consistency.
• Communicate delivery progress, risks, and strategic opportunities to executive leadership.
• Foster a culture of innovation, experimentation, accountability, and continuous improvement.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Technology, or related field (or equivalent experience).
• 8–12 years of software engineering and technology leadership experience.
• Proven experience leading technical teams in fast‑paced, cloud‑native environments.
• Strong background in AI‑driven engineering practices, intelligent automation, or AI‑native delivery models.
• Deep understanding of AWS architecture, modern software delivery, and scalable engineering operations.
• Experience operating within regulated environments such as HIPAA, SOC 2, or similar frameworks.
• Strong strategic planning, organizational leadership, and talent development experience.
• Excellent executive communication and stakeholder management skills.
• Experience managing budgets, vendor relationships, and resource planning.
• Ability to work onsite 3 days per week in the Austin, TX area.

Why Join Us?

• Competitive salary + annual bonus opportunity
• 401(k) with company match
• Medical, dental, vision, life, and disability coverage
• 20+ days PTO plus paid holidays and volunteer time off
• Hybrid work environment
• Professional growth in a rapidly evolving AI organization
• Collaborative, fast‑moving culture focused on innovation and impact