Role Description Remote Career Opportunity — Your Future Starts NOW! - Make outgoing calls, emails, texts, and chats with clients. - Help families understand and choose the right benefit programs. - Maintain accurate records while delivering excellent service. - Collaborate with teammates to maximize customer satisfaction. - Provide caring support to clients by phone or online. Qualifications - Strong communicators with problem-solving abilities. - Adaptable multitaskers who thrive in fast-paced settings. - Must be willing to get Licensed in Life and Health Insurance. - Reliable and coachable candidates eager to learn and grow. - Must be a U.S. Resident. Requirements - No experience? No problem. We provide complete training. Benefits - High Earnings Potential — Earn $60K–$80K in your first year, with unlimited bonuses. - Fast Career Growth — Promotions, leadership roles, and continuous training await. - Flexible Lifestyle — Full-time or part-time hours designed around your life. - Supportive Team Culture — Work with motivated peers who celebrate wins together. - Free Full Training — No prior experience required; we coach you every step of the way. Company Description Join the fast-growing team at Globe Life AO and take control of your future with flexible schedules, uncapped bonuses, and rapid career growth. Get hired in as little as 24–48 hours and begin building your success story today!

Role Description We are looking for a Senior AI Engineer to help launch our brokerage into the next era of intelligent automation and AI-driven decision-making. This role will lead the design, development, and adoption of agentic AI systems that enhance how our teams work, how we serve customers, and how our business scales. You’ll combine deep technical expertise with hands-on leadership to bring AI from concept to production. This is a high-impact role with the opportunity to shape how AI is used across the entire organization, with the freedom to experiment, innovate, and build AI solutions that work. Responsibilities - AI Strategy & Architecture - Design and implement AI-driven systems that modernize brokerage operations, including quoting, underwriting support, customer service, and internal workflows. - Lead the development of agentic AI solutions that orchestrate tasks across systems, tools, and teams. - Evaluate, select, and integrate LLMs and platforms (including Gemini Enterprise, Claude, and other frontier models) to optimize enterprise business workflows. - Translate business problems into scalable AI architectures with clear ROI. - Architect and implement secure Model Context Protocol (MCP) servers to seamlessly bridge large-scale data systems with real-time user interfaces. - Build and maintain full-stack data engineering pipelines, ensuring that LLM tool-calling actions can interact with enterprise data warehouses efficiently and securely. - Implement strict data governance, semantic caching, and guardrails (e.g., query row throttling, cost caps, and timeout limits) to safely manage automated database operations. - Hands-On Development - Build, test, and deploy AI-powered applications using modern programming languages and frameworks. - Develop and maintain prompt strategies, tool-using agents, and workflow automations. - Integrate AI solutions with existing systems, APIs, and data pipelines. - Ensure AI systems are secure, reliable, observable, and production-ready. - Enablement & Change Leadership - Coach and mentor functional programmers and engineers in adopting AI-assisted and AI-first development practices. - Help teams shift from traditional development workflows to AI-augmented engineering. - Contribute to the development of best practices, documentation, and internal standards for responsible AI use. - Serve as a collaborative advisor and resource, supporting teams across the organization in adopting and applying AI solutions. - Governance & Quality - Support the establishment and evolution of guardrails for AI usage, including data privacy, security, explainability, and compliance. - Collaborate with cross-functional teams to monitor performance, bias, and cost of AI systems, and identify opportunities for continuous improvement. - Stay informed on emerging AI technologies and contribute to recommendations on when and how Surex can adopt them effectively. Qualifications - Minimum 5 years of professional software engineering experience, with hands-on AI or ML development in production environments. - Strong programming skills (e.g., Python, TypeScript/JavaScript, Java, or similar). - Proven experience working with large language models and modern AI frameworks. - Expert user in Google Cloud Platform (GCP) frameworks, specifically focusing on enterprise Vertex AI tools and Gemini Enterprise integrations. - Practical experience using tools like Claude, OpenAI, or equivalent for real-world applications. - Deep experience working with BigQuery or similar large-scale data warehouses, including writing, optimizing, and securing analytical queries. - Solid frontend development capabilities (e.g., TypeScript, React) to build the intuitive, AI-driven applications and dashboards used by end-users. - Hands-on experience with production-grade AI agent orchestration frameworks (such as LangGraph, CrewAI, or Vertex AI Agent Builder) and the Model Context Protocol (MCP) ecosystem. - Experience designing agent-based or workflow-driven AI systems. - Ability to explain complex AI concepts clearly to both technical and non-technical audiences. - Experience leading or influencing technical teams through major platform or workflow changes. - Background in financial services, insurance, fintech, or other regulated industries. - Familiarity with cloud platforms (AWS, GCP, or Azure) and modern DevOps practices. - Experience with data pipelines, vector databases, RAG architectures, and AI observability tools. - Passion for teaching, mentoring, and driving adoption—not just building in isolation. Benefits - Growth Opportunities – We invest in your professional development with clear career paths, mentorship, and ongoing training. - Innovative Environment – Work with cutting-edge tools and technologies in a culture that encourages creativity and forward-thinking. - Impactful Work – Your contributions make a real difference to our customers and the communities we serve. - Collaborative Culture – Join a team that values diversity, inclusion, and teamwork, where every voice matters. - Work-Life Balance – Flexible REMOTE work to support your personal and professional life. - Competitive Benefits – Comprehensive health & dental coverage to reward your hard work.

Role Description Projetar, desenvolver, implementar e otimizar soluções baseadas em Inteligência Artificial e Machine Learning, contribuindo para inovação e geração de valor ao negócio. Qualifications - Graduação em áreas de tecnologia ou correlatas; - Experiência com IA; - Deploy de modelos em produção; - Conhecimento em cloud e arquitetura; - Experiência com segurança; - Experiência com Arquitetura, boas práticas, system design; - Domínio de Git. Requirements - Desenvolver, treinar e implementar modelos de Machine Learning e Deep Learning; - Atuar com IA generativa e LLMs; - Projetar pipelines e práticas de MLOps; - Integrar soluções com APIs e sistemas; - Monitorar performance e custo dos modelos; - Atuar como referência técnica. Benefits - Regime de Contratação: CLT Technologies - Python, SQL; - TensorFlow, PyTorch; - Hugging Face, LangChain; - Azure/AWS/GCP; - Docker, Kubernetes; - MLflow, CI/CD; - Graph/LLM. Soft Skills - Trabalho em time; - Comunicação eficaz; - Foco no cliente e fornecedor; - Capacidade analítica; - Liderança; - Aprendizagem contínua; - Capacidade de execução.

Role Description Under the supervision of the Dispatch Program Manager, the Dispatch Core 1 and Core 2 Agents are responsible for processing inbound and outbound calls to the point of resolution, including customer service assistance, inquiries, and complaints. They will provide the highest quality service while ensuring that the caller’s needs are met. Dispatch Resolution Representatives will focus on meeting monthly goals in NPS, CPE, AHT, QWT, and more. Work Location and Schedule - Location: Mesa, AZ and Irving, TX - Work Week: 40+ hours, including at least 1 weekend day. - Job Type: Full-Time Compensation - $16.00 per hour base pay. - Eligible for bonus incentives based on performance metrics upon completion of training(s) & passing all exams. - Average Dispatch Agent compensation after incentives is up to $19 per hour or more. Benefits - Medical, dental, vision, disability, FSAs, and life insurance - Paid Time Off and paid holidays - 401K - Pet Insurance - 5-day work week - Employee Assistance Program - Training and Development Programs - Legal Coverage - Identity Theft Protection - Referral Program - And so much more… Responsibilities and Duties - Provide roadside assistance to customers. - Working Dispatches for Core 1 (Light Duty) and Core 2 (Medium and High Duty). - Answer Member and Vendor Call Backs. - Work Digital Dispatches. - Dispatching Mobile Dispatching. - Work White Glove and Manual Closed Loop as needed. - Troubleshooting and resolving problems encountered by customers. - Educate and explain membership benefits and coverage. - Keep current on all benefit/training information. - Keep current all company and departmental policies and procedures. - Maintaining or exceeding minimum requirements of the CSR Standards of Measurements. - Adhere to all company and department policies. - Log into network and e-mail and adhere to equipment policies. - Maintain acceptable levels of performance to include but not limited to attendance, adherence, fulfillment, and all other productivity and efficiency targets and objectives. - Support safety and ergonomic standards. - Acknowledging employee’s birthdays and anniversaries. - Support your fellow teammates. - Adhere to our Core Values. - Other duties as assigned. Qualifications - Minimum 6 months Customer Service Dispatching skills. - Excellent Customer Service Skills. - Good verbal/written communication skills. - Good analytical and problem-solving skills. - Computer/keyboard experience and Internet knowledge. - Ability to function in a team environment. - Ability to think outside of the box. - Mapping with Bing or Google maps and searching skills. - Ability to work varied shifts and varied days off as needed. Education - High School Diploma or Equivalent