Job Description
Continental General is a company dedicated to helping others through innovative insurance solutions. They are seeking an Associate AI Solutions Engineer to design and operate AI-driven delivery pipelines and develop AI-native solutions that enhance user interactions with insurance systems.
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 2 requirements
- 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 to shared 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
Skills
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. Equivalent practical experience in AI-driven development will be considered
- 1–3 years of experience in software engineering or AI-driven development
- Demonstrated ability to work effectively with AI development tools (Claude Code, Cursor, Codex, or similar) as a primary delivery mechanism, not merely a supplemental aid
- Proficiency in at least one programming language (Python, C#, Java, or similar) with the ability to evaluate and refine AI-generated code
- Foundational understanding of cloud-native development, preferably on AWS
- Foundational understanding of API development (RESTful, SOAP) and integration patterns
- Familiarity with CI/CD concepts and processes
- Strong problem-solving skills and attention to detail
- Ability to contribute meaningfully within a small, fast-moving team where every member's output matters
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.
Company Overview
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