Experienced Enterprise Architect - Data and AI: Transforming Business Strategy through Scalable Data Architectures and AI Solutions

Join Our Team: Revolutionizing Data and AI Architecture At FedEx , we're not just delivering packages; we're delivering innovation. As a leader in the logistics industry, we're committed to harnessing the power of data and AI to drive business success. We're seeking an Experienced Enterprise Architect - Data and AI to join our team and play a pivotal role in shaping our data architecture and AI strategies. About the Role As an Enterprise Architect - Data and AI, you'll be responsible for designing and implementing scalable data architectures and AI solutions across Azure cloud and on-prem environments. This role requires a deep understanding of both cloud-native and legacy data systems, as well as the ability to collaborate with cross-functional teams to deliver data-driven solutions that meet business needs. Key Responsibilities 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. Essential Qualifications To succeed in this role, you'll need: A Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent formal training . At least 5 years of equivalent work experience in an information technology or engineering environment. Strong technical 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 with Azure cloud-based data architectures, including data storage, processing, and AI integration. On-prem expertise with modernizing legacy data systems such as JMS, DB2, and Oracle, with a focus on transitioning to cloud-native data platforms. AI/ML integration experience, with deep knowledge of integrating AI models into existing data infrastructures and deploying them across hybrid environments. Data governance and security expertise, ensuring compliance with regulatory standards and implementing robust security practices across both cloud and on-prem environments. DevOps for Data experience, with a focus on integrating DevOps practices into data pipelines, ensuring automation, efficiency, and continuous delivery of data-driven solutions. Preferred Qualifications While not required, the following qualifications will give you a competitive edge: Advanced degree in a related field (e.g., Master's or Ph.D.). Experience with project planning, technical architecture, and business strategy. Excellent communication and leadership skills. What We Offer At FedEx, we're committed to providing a comprehensive benefits package that supports your well-being and career growth. Our benefits include: Competitive salary : Our salary range is $9,719.19 - $15,090.23 per month, depending on your experience and qualifications. Health, vision, and dental insurance : We offer a range of insurance options to support your physical and mental health. Retirement planning : We provide a 401(k) plan to help you plan for your future. Tuition reimbursement : We're committed to supporting your ongoing education and career development. Career growth opportunities : We're a dynamic organization with opportunities for advancement and professional growth. Our Culture At FedEx, we're committed to creating a culture that values diversity, equity, and inclusion. We believe in fostering a work environment that's collaborative, innovative, and supportive. Our company culture is built on the following principles: People-first approach : We prioritize the well-being and success of our employees. Innovation and experimentation : We encourage creativity and experimentation to drive business success. Collaboration and teamwork : We believe in the power of teamwork and collaboration to achieve our goals. Diversity, equity, and inclusion : We're committed to creating a workplace that's inclusive and equitable for all employees. Why Join Us? If you're a motivated and experienced Enterprise Architect - Data and AI looking to drive business success through scalable data architectures and AI solutions, we want to hear from you. Our company culture values innovation, collaboration, and diversity, and we're committed to providing a comprehensive benefits package that supports your well-being and career growth. Apply now to join our team and be part of a dynamic organization that's shaping the future of logistics and transportation. To apply, please submit your resume and answer our job screening questionnaire by January 23rd, 2024. We can't wait to hear from you! FedEx is an equal opportunities employer , committed to diversity, equity, and inclusion. We welcome applications from all qualified candidates, regardless of their background, culture, or identity. Apply for this job