AI Engineer II

Federal Express Corporation is an Equal Opportunity Employer dedicated to delivering superior service. They offer comprehensive benefits and career growth opportunities for individuals looking to contribute to innovative solutions in artificial intelligence and machine learning.

Introduction

Federal Express Corporation is seeking an AI Engineer II to design, develop, deploy, and maintain artificial intelligence and machine learning solutions. This role focuses on intelligent automation, predictive insights, and advanced analytics across the enterprise, requiring a hands-on builder to write production-quality code and integrate AI models into business applications.

Responsibilities

• Model Development & Implementation
  • Write clean, efficient, and well-documented code for developing and implementing machine learning and AI models for various business use cases.
  • Implement data engineering and preprocessing workflows for model inputs.
  • Continuously optimize the performance and scalability of AI applications and models.
• ML Pipelines & Operations (MLOps)
  • Design, develop, and maintain scalable ML pipelines for model 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 in production for performance, data drift, and reliability, troubleshooting and resolving issues.
  • Establish and own operational readiness for AI services, defining Service Level Objectives (SLOs) for key metrics (e.g., p50/p95 latency, availability) and creating robust monitoring and alerting for model drift, latency, and error rates.
• Collaboration & Integration
  • Work closely with Data Scientists to transition experimental models and research prototypes into robust, production-ready systems.
  • Support the integration of AI capabilities into enterprise workflows, applications, and digital platforms.
  • Contribute to documentation and explainability of model outputs for business stakeholders.
• Governance & Strategy
  • Ensure all deployed AI systems comply with enterprise governance, fairness, and security standards.
  • Evaluate emerging AI technologies (e.g., LLMs, generative AI) for applicability to business problems and to drive innovation.
  • Work on embedding pre-trained Machine Learning, LLM (Large Language Models) and advanced chatbot technologies into workflows to drive automated reasoning and operational efficiencies.
  • Design, develop, and deploy Agentic AI workflows and autonomous AI agents capable of reasoning, interacting with users, and executing actions via system APIs.
  • System Integration – work closely with other IT teams and architects to ensure chosen technologies avoid redundancy, align with standard frameworks, and fit the organization ecosystem. Contribute to Spec-Driven Design and Solution Design Documents focusing on modular and reusable code.
  • Workflow and Automation – analyze and design process workflows, build, test, and implement AI-driven solutions to optimize business operations. Assess AI opportunities from both a business and technical standpoint, perform POCs and feasibility studies and develop optimal solutions.
  • Ability to mentor and bring team along with AI-thinking.

Requirements

• Education: Bachelor’s degree in Computer Science, Data Science, Engineering, or related field required; Master’s highly preferred.
• Experience: Must have independently built, trained, and iterated on multiple ML models, including 2+ years of hands-on experience with a deep learning framework.
• Core Technical & AI Proficiency
  • Strong coding skills 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 (supervised/unsupervised), such as PyTorch, TensorFlow, or similar.
  • Skills in working with LLMs, prompt engineering, fine-tuning, and using frameworks like LangChain and LangGraph for RAG systems.
  • Experience with data wrangling, SQL, data warehousing, and ETL pipelines.
• End-to-End ML Model Lifecycle
  • Proven experience in the end-to-end model lifecycle: developing, training, and deploying ML models from prototype to production.
  • Mastery of data preprocessing, feature engineering, and model evaluation techniques.
  • Demonstrated ability to build and optimize scalable data pipelines for ML model training and evaluation.
  • Strong knowledge of both SQL and NoSQL databases.
• Software & MLOps Engineering
  • Solid foundation in software engineering best practices: version control (Git), automated testing, CI/CD pipelines.
  • Hands-on experience with containerization (Docker) and orchestration (Kubernetes).
  • Expertise in MLOps observability: model monitoring, performance tracking, drift detection, model/version lineage, telemetry, and traceability.
  • Experience implementing advanced testing and deployment strategies (canary/shadow deployments, unit, integration, adversarial, regression tests).
  • Demonstrated ability to integrate AI models and services into enterprise applications via RESTful APIs.
• Collaboration & Frontend Development
  • Strong problem-solving and analytical skills, with effective collaboration in an Agile development environment.
  • Excellent communication skills to articulate complex technical concepts.
  • Experience with modern frontend JavaScript frameworks (React, Vue.js, Angular or similar) for user-facing applications consuming AI models.

Nice to Have

• Master’s degree in a related field.

Benefits

• Health, vision, and dental insurance.
• Retirement plans.
• Tuition reimbursement.

About Company

Federal Express Corporation is an Equal Opportunity Employer. They offer a dynamic environment for AI professionals to contribute to intelligent automation and advanced analytics across the enterprise.

How to Apply

Upload a current copy of your resume (Microsoft Word or PDF format only) and answer the job screening questionnaire by July 3, 2026. Applicants requiring reasonable accommodations should contact recruitmentsupport@fedex.com.