AI Engineer III

In this hybrid role based in Memphis, Tennessee, the AI Engineer III designs, develops, deploys, and maintains AI and machine learning solutions that support intelligent automation, predictive insight, and advanced analytics across enterprise systems.

Responsibilities

• Design, develop, deploy, and maintain AI and ML solutions that enable intelligent automation, predictive insight, and advanced analytics across the enterprise.
• Write clean, efficient, and well-documented code to develop and implement machine learning and AI models for business use cases.
• Implement data engineering and preprocessing workflows required to produce model inputs.
• Continuously optimize AI application and model performance and scalability.
• Design and maintain scalable ML pipelines covering training, validation, inference, and deployment.
• Collaborate with MLOps Engineers to package and deploy models into enterprise systems using established MLOps practices.
• Monitor deployed models in production for performance, data drift, and reliability; troubleshoot and resolve production issues.
• Own operational readiness for AI services by defining Service Level Objectives (SLOs) for key metrics such as p50/p95 latency and availability, and by implementing robust monitoring and alerting for model drift, latency, and error rates.
• Work 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, including 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.
• Evaluate emerging AI technologies such as LLMs and generative AI to assess fit for business problems and drive innovation.

Requirements

• Strong coding skills in Python, Java, or C++, including API development and software design.
• Deep understanding of core machine learning concepts, including classification, regression, clustering, and deep learning architectures.
• Hands-on experience with modern deep learning frameworks and algorithms (supervised and unsupervised), including PyTorch, TensorFlow, or similar.
• Skills working with LLMs, prompt engineering, fine-tuning, and frameworks such as LangChain and LangGraph to build RAG (Retrieval-Augmented Generation) systems.
• Experience with data wrangling, SQL, data warehousing, and ETL pipelines.
• Proven end-to-end experience across the model lifecycle from prototype to production.
• Mastery of data preprocessing, feature engineering, and model evaluation techniques to support robust model performance.
• Demonstrated ability to build and optimize scalable data pipelines for training and evaluating ML models.
• Strong knowledge of SQL and NoSQL databases for querying and managing data for AI applications.
• Solid foundation in software engineering best practices, including Git, automated testing, and CI/CD pipelines.
• Hands-on experience with Docker and Kubernetes for containerized and scalable deployments.
• Expertise in MLOps observability, including model monitoring for performance and drift, and establishing model/version lineage, telemetry, and traceability.
• Experience implementing advanced testing and deployment strategies, including canary or shadow deployments and test suites such as unit, integration, adversarial, and regression testing.
• Demonstrated ability to integrate AI models and services into enterprise applications by building and consuming RESTful APIs.
• Proficiency with at least one major cloud platform (GCP, AWS, or Azure) and associated AI/ML services such as Vertex AI, SageMaker, or Azure ML.
• Experience with big data technologies such as Apache Spark for processing large-scale datasets in a cloud environment.
• Strong problem-solving and analytical skills, with the ability to collaborate effectively in an Agile development environment.
• Excellent communication skills to explain technical concepts to both technical and non-technical stakeholders.
• Experience with modern frontend JavaScript frameworks such as 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 Setup

• Hybrid role in Memphis, TN
• Candidates must live within 50 miles of the campus location
• Employees will be required to work at the FedEx campus location several times per week
• Hybrid position is also listed for Plano, TX or Pittsburgh, PA for the broader domicile information

Compensation

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

Experience

• Minimum 3-5+ years of dedicated experience designing and shipping ML models to production
• Should have led the design of a significant ML-powered feature
• Minimum experience requirement: 3 years

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.

Applicant Rights and Participation Notices

• Applicants have rights under federal employment laws: Know Your Rights; Pay Transparency; Family and Medical Leave Act (FMLA); Employee Polygraph Protection Act
• E-Verify program participant: Federal Express Corporation participates in the Department of Homeland Security U.S. Citizenship and Immigration Services E-Verify notice (bilingual) and Right to Work notice (English and Spanish)