At Globe Life, we are committed to empowering our employees with the support and opportunities they need to succeed at every stage of their career. We take pride in fostering a caring and innovative culture that enables us to collectively grow and overcome challenges in a connected, collaborative, and mutually respectful environment that calls us to help Make Tomorrow Better.
Role Overview:
Could you be our next Sr. Data and AI Architect? Globe Life is looking for a Sr. Data and AI Architect to join the team!
In this role, you will be responsible for designing and implementing enterprise-wide data and AI solutions that enable AI-led transformation across the organization. This role bridges traditional data architecture with modern AI engineering — driving adoption of large language models (LLMs), generative AI, agentic AI, multi-agent orchestration, Model Context Protocol (MCP), retrieval-augmented generation (RAG), and AI-integrated front-end chatbots — while identifying and delivering high-impact use cases that accelerate enterprise AI adoption.
This is a hybrid position located in McKinney, TX. (WFH Monday & Friday, In Office Tuesday–Thursday).
What You Will Do:
- Design and oversee enterprise-critical data and AI architecture solutions, ensuring scalability, security, data integrity, and optimal performance across cloud and on-premises platforms.
- Lead the strategy and architecture for AI platforms, including LLM integrations, agentic AI, multi-agent orchestration frameworks, Model Context Protocol (MCP) implementations, retrieval-augmented generation (RAG) pipelines, vector databases, and other generative AI solutions.
- Architect and oversee agentic AI, including autonomous agent design, tool-use patterns, agent memory management, and human-in-the-loop controls for enterprise-grade reliability and governance.
- Design and implement MCP-based integrations to enable structured, context-aware communication between AI agents and enterprise data sources, APIs, and services.
- Architect end-to-end AI-enabled systems, collaborating with data engineers and front-end developers to deliver production-ready intelligent systems.
- Design and maintain enterprise data models (conceptual, logical, and physical) that serve as the foundation for AI-powered applications, database design, and data integration efforts.
- Provide thought leadership on generative AI, agentic AI, and emerging AI protocol trends (e.g., MCP, A2A) and their applicability to enterprise business problems, particularly within the life insurance domain.
- Evaluate and implement cloud-native AI services (AWS Bedrock, Amazon Q, or equivalent) and establish best practices for responsible AI, AI governance, and explainability.
- Communicate complex AI and data architecture concepts to diverse stakeholders at all organizational levels, including executive leadership.
- Evaluate and resolve complex data architecture challenges requiring analysis of data quality issues, SQL optimization, ETL pipeline design, and conceptual/logical/physical data modeling to understand enterprise-wide implications.
- Influence and establish data architecture best practices across the organization, focusing on cloud data services, modern data stack technologies, and scalable data integration patterns.
- Architect and oversee ETL/ELT workflows, data pipelines, and integration processes to ensure efficient data movement and transformation across cloud and on-premises data platforms.
- Contribute to and oversee front-end solution design using .NET (C#, ASP.NET Core, Web API) and Angular, ensuring seamless integration between AI/data back-end services and user-facing AI Chatbot.
- Partner with portfolio leaders to understand analytical and AI requirements into scalable technical solutions and actionable insights.
- Establish and enforce data and AI architecture standards, governance frameworks, and best practices, including agentic AI safety guardrails, across the organization.
- Mentor and guide data engineers, AI engineers, and front-end developers, providing technical leadership and knowledge transfer.
- Direct data and AI architecture activities to ensure successful delivery of critical enterprise initiatives and intelligent business solutions.
What You Can Bring:
- Bachelor's degree along with 10+ years of work experience in Data and 3+ years experience in AI Architecture & engineering.
- AWS Certified Solutions Architect or AWS Certified Data Analytics.
- AWS Certified AI Practitioner or equivalent AI certification (a plus).
- 10+ years of progressive experience in data architecture, data modeling, and enterprise data management.
- 3+ years of progressive experience in AI architecture and engineering.
- Demonstrated expertise in designing and implementing AI solutions at enterprise scale, including LLM, generative AI, and agentic AI integrations.
- Hands-on experience designing agentic AI systems, including multi-agent orchestration, tool-use patterns, skills framework, agent memory, planning loops, and human-in-the-loop controls.
- Hands-on experience designing and implementing MCP-based integrations to enable structured, context-aware communication between AI agents and enterprise data sources, tools, and APIs.
- Hands-on experience designing prompts, building prompt chains, and integrating LLMs (e.g., AWS Bedrock, Azure OpenAI) into enterprise agentic and generative AI workflows.
- Demonstrated proficiency in designing retrieval-augmented generation (RAG) pipelines, vector databases (e.g., Pinecone, OpenSearch), and knowledge grounding strategies for enterprise AI applications.
- Demonstrated understanding of AI explainability, agentic AI safety guardrails, data privacy, prompt governance, and ethical AI frameworks.
- Hands-on experience monitoring, tracing, and evaluating AI agent behavior and LLM outputs in production using observability platforms.
- Deep knowledge of AWS cloud services including Bedrock, Amazon Q, Glue, Redshift, S3, and cloud-native AI tooling.
- Hands-on experience with front-end development using .NET (C#, ASP.NET Core, Web API) and Angular for building AI-integrated enterprise applications.
- Deep understanding of data architecture patterns, data warehousing, dimensional modeling, data lakes, and modern data stack technologies.
- Extensive experience with SQL development, query optimization, performance tuning, and database design across multiple platforms.
- Hands-on experience with ETL/ELT tools such as Informatica, SSIS, AWS Glue, or similar data integration platforms.
- Proven track record of leading data and AI architecture initiatives and delivering complex enterprise projects.
- Demonstrated ability to mentor and guide cross-functional teams while providing thought leadership on data and AI initiatives.
- Demonstrated independent judgment and critical thinking to evaluate complex challenges and recommend optimal solutions.
- Demonstrated strategic thinking to design scalable, enterprise-level data and AI solutions that meet current and future business needs.
- Experience working with cross-functional teams and stakeholders at various organizational levels, with strong communication skills to articulate complex technical concepts to both technical and non-technical audiences.
- Knowledge of policy administration, actuarial concepts, claims processing, underwriting, and insurance-specific regulatory requirements; life insurance industry experience highly desirable.
Applicable To All Employees of Globe Life Family of Companies:
How Globe Life Will Support You:
Looking to continue your career in an environment that values your contribution and invests in your growth? We've curated a benefits package that helps to ensure that you don’t just work, but thrive at Globe Life:
Competitive compensation designed to reflect your expertise and contribution.
Comprehensive health, dental, and vision insurance plans because your well-being is fundamental to your performance.
Robust life insurance benefits and retirement plans, including company-matched 401k and pension plan.
Paid holidays and time off to support a healthy work-life balance.
Parental leave to help our employees welcome their new additions.
Subsidized all-in-one subscriptions to support your fitness, mindfulness, nutrition, and sleep goals.
Company-paid counseling for assistance with mental health, stress management, and work-life balance.
Continued education reimbursement eligibility and company-paid FLMI and ICA courses to grow your career.
Discounted Texas Rangers tickets for a proud visit to Globe Life Field.
Opportunity awaits! Invest in your professional legacy, realize your path, and see the direct impact you can make in a workplace that celebrates and harnesses your unique talents and perspectives to their fullest potential. At Globe Life, your voice matters.
