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:
Reliable and predictable attendance of your assigned shift.
Ability to work full time and/or part time based on the position specifications.
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.
Skills Required
- Bachelor's degree
- 10+ years of experience in data
- 3+ years of experience in AI architecture and engineering
- 10+ years of progressive experience in data architecture, data modeling, and enterprise data management
- AWS Certified Solutions Architect or AWS Certified Data Analytics certification
- AWS Certified AI Practitioner or equivalent AI certification
- Enterprise-scale AI solution design and implementation experience, including LLM, generative AI, and agentic AI integrations
- Experience designing agentic AI systems with multi-agent orchestration, tool-use patterns, agent memory, planning loops, and human-in-the-loop controls
- Experience designing and implementing MCP-based integrations
- Experience designing prompts, building prompt chains, and integrating LLMs such as AWS Bedrock or Azure OpenAI
- Experience designing RAG pipelines, vector databases, and knowledge-grounding strategies
- Understanding of AI explainability, safety guardrails, data privacy, prompt governance, and ethical AI frameworks
- Experience monitoring, tracing, and evaluating AI agent behavior and LLM outputs in production
- Deep knowledge of AWS services including Bedrock, Amazon Q, Glue, Redshift, and S3
- Front-end development experience with .NET, C#, ASP.NET Core, Web API, and Angular
- Deep understanding of data architecture, data warehousing, dimensional modeling, data lakes, and modern data stack technologies
- Extensive SQL development, query optimization, performance tuning, and database design experience
- Experience with ETL/ELT tools such as Informatica, SSIS, or AWS Glue
- Track record of leading data and AI architecture initiatives and delivering complex enterprise projects
- Ability to mentor and guide cross-functional teams
- Independent judgment, critical thinking, and strategic thinking
- Experience working with cross-functional teams and stakeholders at various organizational levels
- Knowledge of policy administration, actuarial concepts, claims processing, underwriting, and insurance regulatory requirements
- Life insurance industry experience
What We Do
Globe Life is a national insurance company that helps protect the financial futures of working families. Serving millions of policyholders, Globe Life provides life and supplemental health insurance products designed to help customers prepare for the unexpected and protect what matters most. For more than a century, Globe Life has built its business around providing financial protection and delivering on its commitments to customers. Today, people across the organization bring together expertise in areas including insurance operations, customer care, technology, actuarial, finance, and other professional functions to serve policyholders and support the business. Globe Life reaches customers through multiple distribution channels, including independent insurance agents affiliated with its agency divisions. Across the organization, the work is connected by a common purpose: helping provide families with financial protection and support when they need it most.
Why Work With Us
Globe Life combines long-term stability with opportunities to build a meaningful career. Employees can grow through professional development, internal mobility, mentoring, and leadership programs, with benefits that support their future, including a company-matched 401(k) and pension plan for eligible employees.
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Globe Life Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Work arrangements at Globe Life vary by role — onsite, remote, or hybrid (home Mon/Fri, office Tue–Thu). Every setup is matched to the job and team. Regardless of location, professionalism, collaboration, and accountability are always expected.
