Jobs in the United States

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Added 6 mins ago
Senior Software Developer - Top SECRET - FULLY ONSITE
VISUAL SOFT, INC
Huntsville, AL
We are seeking an experienced Senior Software Developer to design, develop, and maintain enterprise-grade, mission-critical applications using Java, microservices, Docker, and AWS in an…
Added 6 mins ago
Senior Oracle Expert - Active TS is a MUST (ONSITE - 100%)
VISUAL SOFT, INC
Huntsville, AL
Oracle DB Dev, Oracle PL/SQL, OEM, Linux, Jira, bitbucket, SQL Developer
Added 6 mins ago
Software Engineer - Mid-Level / Top SECRET / FULLY ONSITE
VISUAL SOFT, INC
Huntsville, AL
A minimum of 5+ years of experience with Java, AWS, Vue.js. Spring Boot, ElasticSearch, Apache TIKA, Apache NiFI based web applications in an Agile development environment
Added 6 mins ago
Senior Cloud Developer - Top SECRET - ONSITE
VISUAL SOFT, INC
Washington, DC
Develop and maintain Java software applications in the Cloud (AWS preferred) using Agile software development techniques
Added 14 mins ago
Director of Architecture & Engineering
ACN COMMUNICATIONS SERVICES LLC
Charlotte, NC
Personally architect, prototype, code, review and troubleshoot complex applications, AWS, integration and data solutions when needed; remain technically credible and current.
Added 14 mins ago
Lead AWS Full Stack Engineer – Backstage Platform
System One
Lafayette, LA
SystemOne is seeking an experienced Lead AWS Full Stack Engineer with deep, hands-on Backstage Platform experience to design, develop, customize, and enhance enterprise developer portal…
Added 14 mins ago
Senior Software Engineer
FlightSafety International Inc
Seattle, WA
Added 17 mins ago
TN
Software Development Manager
Transaction Network Services, Inc.
Virtual, IL · Virtual, WA · Virtual, VA · Virtual, UT · Virtual, TX · Virtual, PA · Virtual, KS · Virtual, OH · Virtual, NC · Virtual, NY · Virtual, NJ · Virtual, GA · Virtual, FL · Virtual, CT · Virtual, MO · Virtual, CA · Virtual, AZ · Virtual, MI · Virtual, MA · Virtual, MD
- $165,000 to $175,000 USD / year
Contribute directly to development efforts as needed – writing, reviewing and troubleshooting code in Java, Spring, JavaScript (Vue.js or similar) and SQL
Added 21 mins ago
Principal / Sr. Principal Engineer Software - Cloud & Applications
CORP-Corporate Office
United States
Experience with a coding or scripting language (C, C++, Java, Python)
Added 38 mins ago
Senior Software Engineer
Western Governors University
Salt Lake City, UT
Experience developing web-based applications and web services using Java, REST, ServiceNow, and other web technologies.
Added 47 mins ago
Data and ML Engineer
Booz Allen Hamilton_United States
McLean, VA
3+ years of experience utilizing programming languages, including C++, Java, or Python
Added 47 mins ago
Platform and Data Engineer
Booz Allen Hamilton_United States
Honolulu, HI
2+ years of experience utilizing programming languages, including C++, Java, or Python
Added 1 hour ago
Principal Platform Engineer - People Systems
Apple
Sunnyvale, CA
Lead the design and coding of modular, domain-driven services on Java / Kotlin, Spring Boot and cloud-native infrastructure, and the event streams that carry complex, high-concurrency…
Added 1 hour ago
Lead Software Engineer
JPMC page
Chicago, IL
Perform troubleshooting and performance tuning across backend workflows (Java, Spring Boot, AWS, PostgreSQL)
Added 1 hour ago
Software Dev Engineer II, AWS Inspector
Amazon Development Center U.S., Inc.
Herndon, VA
Come and build the future with us. Our mission is to keep AWS customers safe and secure by helping them detect and remediate vulnerabilities at never before seen scale.
Added 1 hour ago
Software Development Engineer II, AWS Inspector
Amazon.com Services LLC
Herndon, VA
Come and build the future with us. Our mission is to keep AWS customers safe and secure by helping them detect and remediate vulnerabilities at never before seen scale.
Added 1 hour ago
Executive Director, Software Engineering – Pharmacy & Consumer Wellness (PCW)
CVS Shared Services Resources LLC
Remote, United States
Lead efforts to deploy new and existing applications into cloud environments – AWS, GCP and Azure
Added 1 hour ago
Full Stack Engineer
Scotiabank
Dallas, TX
Experience with Java, Go, TypeScript/Node.js, C#, or other modern programming languages.
Added 1 hour ago
Software Engineering Lead
TCC Toyota Motor Credit Corporation Company
Plano, TX
Lead the engineering efforts for AWS solutions, staying current with the latest advancements in related technologies.
Added 1 hour ago
Senior Java Developer
TCC Toyota Motor Credit Corporation Company
Plano, TX
…Engineer to help our growing Enterprise platform needs. The Senior Java Developer will build on their passion for software engineering and combine with skills for operational excellence to…
Added 1 hour ago
Director, Software Engineering
TCC Toyota Motor Credit Corporation Company
Plano, TX
…security and instrumentation leveraging programming languages like Java, Python, SQL, and a variety of AWS tools and…
Added 1 hour ago
Platform Software Engineer
Ford
Dearborn, MI · Dearborn
A Platform Software Engineer is a versatile developer with expertise in Java or Python and a strong foundation in cloud platforms to build and manage applications at scale. Generally,…
Added 1 hour ago
Associate Delivery Consultant – AIML, ProServe A2C Delivery , Associate Delivery Consultant – ProServe A2C Delivery
Amazon Web Services, Inc.
Arlington, VA · New York, NY · Chicago, IL · Dallas, TX
…Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical…
Added 1 hour ago
Software Development Manager, AWS Organisations
Amazon Development Center U.S., Inc.
Santa Clara, CA
The AWS Organizations team is looking for a manager to run the team that is responsible for making multi-account management easy with every AWS Service.
Added 1 hour ago
Platform Software Engineer
Ford Global
Dearborn, MI
A Platform Software Engineer is a versatile developer with expertise in Java or Python and a strong foundation in cloud platforms to build and manage applications at scale. Generally,…

Federal Express Corporation

AI Engineer III

Plano, TX, United States

$9,719 to $13,812 USD / month

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Job details

Pay: $9,719 to $13,812 USD / month
Posting language: English
Posted: Nov 6, 2026

Original job description

TITLE: AI ENGINEER III

DOMICILE:

This is a hybrid position located in Plano, TX. 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. Candidates within 50 miles of Pittsburgh, PA or Memphis, TN may also be considered.

The AI Engineer III is responsible for designing, developing, deploying, and maintaining artificial intelligence and machine learning solutions that support intelligent automation, predictive insight, and advanced analytics across the enterprise. As a hands-on builder, this role applies software engineering principles to write production-quality code, build scalable AI systems, including AI Agents and data pipelines, and integrate AI models into new and existing business applications. The AI Engineer collaborates closely with Data Scientists, Data Engineers, ML Ops Engineers, and Platform teams to bring machine learning models from prototype to production. A critical part of this function is to ensure that AI use cases are transitioned from experimentation into reliable, governed, and business-ready solutions by owning their complete operational readiness. This includes implementing robust observability, defining Service Level Objectives (SLOs), and establishing clear incident response and rollback strategies for all AI services. Essential Functions

Model Development & Implementation
Write clean, efficient, and well-documented code to develop and implement machine learning and AI models that support various business use cases.
Implement data engineering and preprocessing workflows required 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, and troubleshoot and resolve any issues that arise.
Establish and own the operational readiness of all AI services by defining and implementing Service Level Objectives (SLOs) for key metrics, such as p50/p95 latency and 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 the documentation and explainability of model outputs to ensure clarity for business stakeholders.
Governance & Strategy
Ensure all deployed AI systems comply with enterprise governance, fairness, and security standards.
Evaluate emerging AI technologies, such as LLMs and generative AI, to assess their applicability to business problems and drive innovation.
Ensure AI solutions support auditability, explainability, traceability, and regulatory compliance requirements
Implement memory management, context engineering, planning, and multi-step reasoning strategies
Define and track quality metrics such as groundedness, faithfulness, relevance, task completion rate, and user satisfaction

Preferred Skills

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, including 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 for building and training complex neural networks.
Skills in working with LLMs, prompt engineering, fine-tuning, and using frameworks like LangChain and LangGraph to build RAG (Retrieval-Augmented Generation) systems.
Handling data wrangling, SQL, data warehousing, and ETL pipelines to prepare data for models
End-to-End ML Model Lifecycle
Proven experience in the end-to-end model lifecycle: developing, training, and deploying machine learning models from prototype to production.
Mastery of data preprocessing, feature engineering, and model evaluation techniques to ensure robust and accurate model performance.
Demonstrated ability to build and optimize scalable data pipelines for training and evaluating machine learning models.
Strong knowledge of both SQL and NoSQL databases for querying and managing data for AI applications.
Software & MLOps Engineering
Solid foundation in software engineering best practices, including version control (Git), automated testing, and CI/CD pipelines.
Hands-on experience with containerization using Docker and container orchestration with Kubernetes for scalable deployment.
Expertise in MLOps observability, including model monitoring to track performance and drift, and establishing model/version lineage, telemetry, and traceability.
Experience implementing advanced testing and deployment strategies, including canary/shadow deployments and comprehensive test suites (unit, integration, adversarial, regression).
Demonstrated ability to integrate AI models and services into enterprise applications by building and consuming RESTful APIs.
Cloud & Infrastructure
Proficiency with at least one major cloud platform (GCP, AWS, Azure) and its associated AI/ML services (e.g., Vertex AI, SageMaker, Azure ML).
Experience with big data technologies, such as Apache Spark or similar, for processing large-scale datasets in a cloud environment.
Collaboration & Frontend Development
Strong problem-solving and analytical skills, with the ability to collaborate effectively in an Agile development environment.
Excellent communication skills to articulate complex technical concepts to both technical and non-technical stakeholders.
Experience with modern frontend JavaScript frameworks such as React, Vue.js, Angular or similar for building user-facing applications that consume AI models.

Minimum Education Bachelor’s degree in Computer Science, Data Science, Engineering, or related field is required; Master’s is highly preferred. Minimum Experience Needs 3-5+ years of dedicated experience designing and shipping ML models to production. Should have led the design of a significant ML-powered feature. Pay Range Plano, TX: $9,719 / mo - $13,812 / mo ; Pittsburgh, PA: $10,231 / mo - $13,812 / mo ; Memphis, TN: $10,231 / mo - $13,112 / mo

Preferred Qualifications:

Pay Transparency:

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

Additional Details:

For details on our comprehensive benefits, click here. Federal Express Corporation is an Equal Opportunity Employer including, Vets/Disability. Reasonable accommodations are available for qualified individuals with disabilities throughout the application process. Applicants who require reasonable accommodations in the application or hiring process should contact recruitmentsupport@fedex.com.

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 program (For U.S. applicants and employees only). Please click below to learn more about the E-Verify program:

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

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More about this job

Skills

Incident response
Data engineering
ML
Troubleshoot
Research
Documentation
Security regulations
Regulatory compliance
Python
Oracle Java
C++
API development
Machine learning
Deep learning
PyTorch
TensorFlow
LangChain
SQL
Data warehousing
Normalise data
Git
Test automation
CI/CD
Docker
Kubernetes
Google Cloud
AWS
Microsoft Azure
Apache Spark
Collaboration
Front-end development
Problem solving
Analytical skills
Agile development
Communication skills
Computer science

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