Jobs in the United States

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Added 8 mins ago
Data Integration Developer
MD Anderson Cancer Center
Remote, United States
The Data Integration Developer plays a critical role in supporting the Education & Training Division through the design, development, and maintenance of reliable data integrations, scalable…
Added 8 mins ago
AI Operations Administrator - Gravitee - Remote US
SitusAMC
Austin, TX
Administer and operate the Gravitee API management platform as the primary responsibility of the role, including environments, organizations, gateways, management console, developer portal,…
Added 9 mins ago
T
Senior Desktop Test Automation Engineer
TEKsystems
Round Rock, TX
- $55 to $60 USD / hour
…problem solving, .net, visual basic, clickonce, GitHub, CI/CD, API, Backend…
Added 9 mins ago
Principal Software Engineer - Digital Twin and Simulation Platform
Caterpillar, Inc.
Irving, TX
● Experience with NVIDIA Isaac Sim and integration of robotics simulation into digital twin environments.
Added 9 mins ago
Java Full Stack Developer (Senior/Lead)
Cognizant
Plano, TX
As a Java Full Stack Developer (Senior/Lead), you will make an impact by designing, building, and scaling API-first, cloud-native applications and integrations using modern Java, AWS,…
Added 9 mins ago
IS Technical Specialist/Back-end Tech Lead
Huntington National Bank
Dallas, TX
We are looking for a strong back-end developer with cloud engineering background or certifications and a keen interest to learn new technologies/AI to join our team.
Added 9 mins ago
IS Technical Specialist/Back-end Tech Lead
Huntington National Bank
Houston, TX
We are looking for a strong back-end developer with cloud engineering background or certifications and a keen interest to learn new technologies/AI to join our team.
Added 9 mins ago
G
Forward Deployment Agentic Engineer
Guidehouse
SAN ANTONIO, TX · HOUSTON, TX
- $70,000 to $116,000 USD / year
Build and support agentic AI solutions using Claude, API integrations, and modern application development practices.
Added 10 mins ago
IS Technical Specialist/Back-end Tech Lead
Huntington National Bank
Austin, TX
We are looking for a strong back-end developer with cloud engineering background or certifications and a keen interest to learn new technologies/AI to join our team.
Added 10 mins ago
Cyber Offensive Security Senior Associate
Grant Thornton
Austin, TX · Houston, TX · Dallas, TX
Penetration Testing: Plan and execute network, application, API, and cloud penetration tests, from scoping through exploitation, post-exploitation, and reporting.
Added 10 mins ago
Cybersecurity, Privacy and Forensics - Palo Alto Networks XSIAM Engineer
PwC
Austin, TX · Houston, TX · Dallas, TX
Assist with onboarding new data sources and security tools integration for enriched threat visibility.
Added 10 mins ago
API Data Integration Analyst
COOLSOFT
Austin, TX
Skills required API, not found, Full-Stack Web Applications, Data Integration
Added 10 mins ago
JSON HL7 FHIR Analyst
COOLSOFT
Austin, TX
…services that retrieve and display healthcare data, including API integration, authentication, authorization, role-based access control, secure coding, testing, and production…
Added 10 mins ago
C
Java Full Stack Engineer with Spring boot/AWS Experience
Cognizant
Austin, TX
- $86,000 to $99,000 USD / year
Drive engineering best practices through code reviews, automated testing, and continuous integration and delivery pipelines.
Added 10 mins ago
GRC Architect/ Information Security Manager- US
DXC Technology
Austin, TX
Familiarity with API development and data integration tools
Added 20 mins ago
IT Applications Administrator
First Coast Security Solutions
Chesterfield, MO
Work directly with software vendors on implementations, upgrades, troubleshooting, and integration projects.
Added 21 mins ago
VI
Staff Embedded Software Engineer - 5G Devices & NTN Connectivity
Viasat, Inc.
Carlsbad, CA · Germantown, MD
- $205,000 to $307,000 USD / year
…device-side software architecture, embedded Linux development, modem integration, and platform design. You will work closely with chipset vendors, hardware teams, and product stakeholders…
Added 1 hour ago
Principal AI Solutions Architect, Customer Success
United States - Genesys Cloud Services, Inc.
Virtual Office, TX · IN · SC · TN · FL · MA · NC · KY · GA
Define enterprise reference architectures, integration patterns, governance frameworks, and operating models for AI-powered experience orchestration.
Added 1 hour ago
Manager, Enterprise Application Security & Controls
QXO
Seattle, WA
Govern privileged access, emergency access, service accounts, integration accounts, and other non-person user access, with appropriate approval, monitoring, credential ownership, and…
Added 1 hour ago
IT Security Engineer
CoolSys
UNAVAILABLE
Added 1 hour ago
T
Full Stack Developer III
TEKsystems
Newport Beach, CA
- $60 to $80 USD / hour
Full Stack Developer | AWS + React/Node.js | Loyalty Platform
Added 1 hour ago
T
Lead Java Practice Architect
TEKsystems
Hanover, MD
- $160,000 to $225,000 USD / year
Experience with relational and NoSQL databases, messaging, and integration patterns
Added 1 hour ago
Senior Backend Cloud Engineer
Halcyon
Remote, United States
…lead the development and evolution of our data platform and API services, working within a modern tech stack that blends Scala and…
Added 2 hours ago
K
Sr. Al Solution Engineer
Kentro
UNAVAILABLE
- $101,000 to $140,000 USD / year
Develop, test, deploy, and maintain batch and API-based data ingestion, transformation, and publishing workflows.
Added 2 hours ago
SO
Software Engineer (Systems Programmer/Developer III) - 61161323
State of South Carolina
West Columbia, SC
- $67,728 to $121,890 USD / year
…modern full-stack development, Salesforce development, and API-driven…

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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