AI Engineer III

FedEx is hiring an AI Engineer III to design, develop, deploy, and operate AI/ML solutions for intelligent automation and predictive analytics in a hybrid environment.

Responsibilities

• Design, develop, deploy, and maintain artificial intelligence and machine learning solutions for intelligent automation, predictive insight, and advanced analytics across the enterprise
• Write clean, efficient, and well-documented code to build and implement AI/ML models for business use cases
• Create data engineering and preprocessing workflows required for model inputs
• Continuously optimize AI application and model performance and scalability
• Build and maintain scalable ML pipelines for training, validation, inference, and deployment
• Collaborate with ML Ops Engineers to package and deploy models into enterprise systems using established MLOps practices
• Monitor deployed models for performance, data drift, and reliability; troubleshoot and resolve production issues
• Own operational readiness for AI services by defining and implementing Service Level Objectives (SLOs) for key metrics (including p50/p95 latency and availability)
• Implement monitoring and alerting for model drift, latency, and error rates
• Partner with Data Scientists to move experimental models and research prototypes into production-ready systems
• Support integration of AI capabilities into enterprise workflows, applications, and digital platforms
• Contribute to documentation and explainability of model outputs for business stakeholders
• Ensure deployed AI systems comply with enterprise governance, fairness, and security standards
• Evaluate emerging AI technologies, including LLMs and generative AI, for applicability to business problems and innovation
• Support auditability, explainability, traceability, and regulatory compliance requirements
• Implement memory management, context engineering, planning, and multi-step reasoning strategies
• Define and track quality metrics including groundedness, faithfulness, relevance, task completion rate, and user satisfaction

Requirements

• 3-5+ years of dedicated experience designing and shipping ML models to production
• At least 3 years of experience (minimum)
• Coding proficiency in Python, Java, or C++, including API development and software design
• Deep understanding of core machine learning concepts: classification, regression, clustering, and deep learning architectures
• Hands-on experience with modern deep learning frameworks and algorithms, including supervised/unsupervised methods (e.g., PyTorch, TensorFlow)
• LLM experience including prompt engineering, fine-tuning, and building RAG systems with frameworks such as LangChain and LangGraph
• Experience with data wrangling, SQL, data warehousing, and ETL pipelines for model-ready datasets
• Proven end-to-end model lifecycle experience from prototype to production deployment
• Strong skills in data preprocessing, feature engineering, and model evaluation
• Proven ability to build and optimize scalable data pipelines for training and evaluation
• Strong knowledge of both SQL and NoSQL databases for querying and managing data for AI applications
• Software engineering best practices including Git, automated testing, and CI/CD
• Containerization experience with Docker and orchestration with Kubernetes
• MLOps observability experience: monitoring for performance and drift, plus model/version lineage, telemetry, and traceability
• Experience with advanced testing and deployment strategies, including canary/shadow deployments and unit/integration/adversarial/regression test suites
• Ability to integrate AI models and services into enterprise applications via RESTful APIs
• Proficiency with at least one major cloud platform (GCP, AWS, or Azure) and associated AI/ML services (e.g., Vertex AI, SageMaker, Azure ML)
• Experience with big data technologies such as Apache Spark for large-scale dataset processing in a cloud environment
• Problem-solving and analytical skills with effective collaboration in an Agile environment
• Communication skills to explain complex technical concepts to technical and non-technical stakeholders
• Experience using modern frontend JavaScript frameworks (at least one): React, Vue.js, or Angular for user-facing applications that consume AI models

Education

• Bachelor’s degree in Computer Science, Data Science, Engineering, or related field
• Master’s degree highly preferred

Location and Work Mode

• Memphis, TN (hybrid)
• Hybrid position also referenced for Plano, TX or Pittsburgh, PA or Memphis, TN
• Candidates must live within 50 miles of the campus location
• Employees are required to work at the FedEx campus location several times per week

Compensation

• Plano, TX: $9,719 / mo - $13,812 / mo
• Pittsburgh, PA: $10,231 / mo - $13,812 / mo
• Memphis, TN: $10,231 / mo - $13,112 / mo

Technologies

• Python, Java, C++, PyTorch, TensorFlow
• LLMs, prompt engineering, fine-tuning
• LangChain, LangGraph, RAG (Retrieval-Augmented Generation)
• SQL, ETL pipelines
• Git, Docker, Kubernetes
• RESTful APIs
• GCP, AWS, Azure; Vertex AI, SageMaker, Azure ML
• Apache Spark
• React, Vue.js, Angular
• AI Agents, data pipelines

Additional Information

• For details on comprehensive benefits, click here
• Applicants have rights under federal employment laws: Know Your Rights; Pay Transparency; FMLA; Employee Polygraph Protection Act
• E-Verify program participant: Federal Express Corporation participates in the Department of Homeland Security U.S. Citizenship A

Campus E-Verify Notices

• E-Verify Notice (bilingual)
• Right to Work Notice (English) / (Spanish)