Enterprise Architect, Data and AI

Lead the long range planning for the structure and interaction of the enterprise's major types/sources of data, information needs, and business processes/strategy.Essential Functions About the Role - The Enterprise Architect - Data & AI is responsible for designing and implementing scalable data architectures and AI solutions across Azure cloud and on-prem environments. This role focuses on ensuring that data platforms and AI models are integrated seamlessly into the organization’s technology stack, while fostering a culture of reusability, scalability, and innovation. The ideal candidate will have deep technical expertise in both cloud-native and legacy data systems, with a proven ability to collaborate with cross-functional teams and deliver data-driven solutions that meet business needs.Design and implement data architectures that support the deployment of AI models, ensuring scalability, security, and performance across both Azure cloud and on-prem environments.Drive the integration of AI solutions with existing data infrastructures, ensuring seamless compatibility between legacy systems and modern cloud-native platforms.Lead efforts to modernize data systems, transitioning from on-prem legacy architectures to cloud-native data lakes, warehouses, and advanced analytics platforms.Collaborate with data scientists, engineers, and business stakeholders to ensure that AI models and data platforms are aligned with business goals and deliver measurable outcomes.Foster a product engineering mindset within the data architecture teams, ensuring that data solutions are built with reusability, flexibility, and scalability in mind.Implement best practices for data governance, security, and compliance, ensuring that all data architectures meet regulatory requirements and protect sensitive information.Oversee the integration of DevOps practices into data pipelines and AI solution deployment, ensuring automation, efficiency, and continuous improvement across the organization’s data ecosystem.Communicate complex technical architectures and AI strategies to senior leadership, ensuring alignment with the broader enterprise architecture and business objectives.Responsible for decisions/priorities regarding the overall enterprise's architecture.Translate business needs into architectural solutions (current and target state) and defining solutions to problems through application of information technology.Facilitate the establishment and implementation of standards/guidelines that direct integration of multiple platforms.Develop/document the framework for integration/implementation for changes to architectural standards.Determine architecture solutions that meet performance, scalability, reliability and security needs.Provide technical guidance to project team.Coach the development of Jr. IT architectsPerform other duties as assignedKnowledge, Skills, and Abilities Technologies: Expertise in Azure services, Databricks, relational databases, document stores, key value stores, streaming and messaging systems, Lakehouse architecture, data warehouses, ETL pipelines, and AI/ML frameworks (e.g., TensorFlow, PyTorch, etc.).Cloud Expertise: Strong experience with Azure cloud-based data architectures, including data storage, processing, and AI integration.On-Prem Expertise: Proven experience modernizing legacy data systems such as JMS, DB2 and Oracle, with a focus on transitioning to cloud-native data platforms.AI/ML Integration: Deep knowledge of integrating AI models into existing data infrastructures and deploying them across hybrid environments.Data Governance and Security: Expertise in data governance, ensuring compliance with regulatory standards and implementing robust security practices across both cloud and on-prem environments.DevOps for Data: Experience integrating DevOps practices into data pipelines, ensuring automation, efficiency, and continuous delivery of data-driven solutions.Minimum EducationBachelor's degree in computer science, engineering, information systems and/or equivalent formal training.Minimum ExperienceFive (5) years equivalent work experience in information technology or engineering environment.Domicile Information This position can be domiciled anywhere in the United States. The ability to work remotely within the United States may be available based on business need. Preferred Qualifications: Pay Transparency: This compensation range is provided as a reasonable estimate of the current starting salary range for this role across all potential locations. If this opportunity includes multiple job levels, the range is a reasonable estimate of the current starting salary for the lowest level to the current starting salary of the highest level. Actual starting pay would be determined by experience relative to the job, market level, pay at the location for this job and other job-related factors permitted by law. An employee may be eligible for additional pay, premiums, or bonus potential. The Company offers eligible employees health, vision and dental insurance, retirement, and tuition reimbursementPay: U.S. Pay Range: $9,208.38/month - $16,575.08/monthAdditional Details: Application Criteria: Upload current copy of Resume (Microsoft Word or PDF format only) and answer job screening questionnaire by July 11, 2025Federal Express Corporation is an Equal Opportunity Employer including, Vets/Disability.Applicants have rights under Federal Employment Laws:E-Verify Program Participant: Federal Express Corporation participates in the Department of Homeland Security U.S. Citizenship and Immigration Services’ E-Verify program (For U.S. applicants and employees only). Please click below to learn more about the E-Verify program:E-Verify Notice ()Right to Work Notice () / ()Pay Transparency:The compensation listed reflects the pay range or rate of pay reasonably expected for this posted position at the posted location or locations. If this opportunity includes multiple job levels, the pay information represents the minimum and maximum range for all levels in that job family. Actual pay is determined by several job-related factors permitted by law and relevant to the position, including, but not limited to, experience relative to the job, tenure, market level, pay at the location for this job, performance, schedule, and work assignment.