Jobs in the United States

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Added 17 mins ago
EG
Cloud Engineer
Eliassen Group
Jackson, MS
- $70 to $88 USD / hour
Our client seeks a senior Cloud Engineer to own and stabilize a legacy GCP and Azure footprint while assisting with conversions and decommissioning. The role will support automation efforts…
Added 25 mins ago
EG
Cloud Engineer
Eliassen Group
Charleston, WV
- $70 to $88 USD / hour
Our client seeks a senior Cloud Engineer to own and stabilize a legacy GCP and Azure footprint while assisting with conversions and decommissioning. The role will support automation efforts…
Added 30 mins ago
EG
Cloud Engineer
Eliassen Group
Lincoln, NE
- $70 to $88 USD / hour
Our client seeks a senior Cloud Engineer to own and stabilize a legacy GCP and Azure footprint while assisting with conversions and decommissioning. The role will support automation efforts…
Added 1 hour ago
EG
Cloud Engineer
Eliassen Group
Boston, MA
- $70 to $88 USD / hour
Our client seeks a senior Cloud Engineer to own and stabilize a legacy GCP and Azure footprint while assisting with conversions and decommissioning. The role will support automation efforts…
Added 1 hour ago
EG
Cloud Engineer
Eliassen Group
Columbia, SC
- $70 to $88 USD / hour
Our client seeks a senior Cloud Engineer to own and stabilize a legacy GCP and Azure footprint while assisting with conversions and decommissioning. The role will support automation efforts…
Added 1 hour ago
EG
Cloud Engineer
Eliassen Group
Boise, ID
- $70 to $88 USD / hour
Our client seeks a senior Cloud Engineer to own and stabilize a legacy GCP and Azure footprint while assisting with conversions and decommissioning. The role will support automation efforts…
Added 1 hour ago
EG
Cloud Engineer
Eliassen Group
Montgomery, AL
- $70 to $88 USD / hour
Our client seeks a senior Cloud Engineer to own and stabilize a legacy GCP and Azure footprint while assisting with conversions and decommissioning. The role will support automation efforts…
Added 2 hours ago
Senior Full Stack Software Engineer - CAD/CAE & AI
Apex Systems, Inc
Dearborn, MI
Job Description: Position Description: Need software engineer to work on Propulsion in-house developed apps in CAD / CAE domain with the knowledge of OOP concepts, JAVA/Angular programming…
Added 2 hours ago
ADAS Embedded SW Engineer
Ford Motor Company
Dearborn, MI
Design, develop, and integrate the embedded software platform for feature applications in Ford's next-generation ADAS systems.
Added 2 hours ago
AI Engineer
Ford Motor Company
Dearborn, MI
We're looking for an AI Engineer to own this system end to end: design, develop, test, and deploy the graph layer to Production on a Google Cloud Platform–native stack , and build the…
Added 2 hours ago
EG
Cloud Engineer
Eliassen Group
Lansing, MI
- $70 to $88 USD / hour
Our client seeks a senior Cloud Engineer to own and stabilize a legacy GCP and Azure footprint while assisting with conversions and decommissioning. The role will support automation efforts…
Added 2 hours ago
EG
Cloud Engineer
Eliassen Group
Denver, CO
- $70 to $88 USD / hour
Our client seeks a senior Cloud Engineer to own and stabilize a legacy GCP and Azure footprint while assisting with conversions and decommissioning. The role will support automation efforts…
Added 3 hours ago
EG
Cloud Engineer
Eliassen Group
Cheyenne, WY
- $70 to $88 USD / hour
Our client seeks a senior Cloud Engineer to own and stabilize a legacy GCP and Azure footprint while assisting with conversions and decommissioning. The role will support automation efforts…
Added 3 hours ago
Full-stack Software Engineer
Altamira Technology Corporation
Fairborn, OH
The ideal developer will have experience developing frontend typescript applications, experience with Java and the Java ecosystem, and an understanding of modernizing legacy web apps to…
Added 3 hours ago
EG
Cloud Engineer
Eliassen Group
Columbus, OH
- $70 to $88 USD / hour
Our client seeks a senior Cloud Engineer to own and stabilize a legacy GCP and Azure footprint while assisting with conversions and decommissioning. The role will support automation efforts…
Added 3 hours ago
Software Engineer 2 - Mobile Developer (iOS & Android)
U.S. Bank
Earth City, MO
+ Experience developing and consuming mobile SDKs, reusable libraries, platform components, and shared mobile frameworks
Added 4 hours ago
EG
Cloud Engineer
Eliassen Group
Pierre, SD
- $70 to $88 USD / hour
Our client seeks a senior Cloud Engineer to own and stabilize a legacy GCP and Azure footprint while assisting with conversions and decommissioning. The role will support automation efforts…
Added 4 hours ago
EG
Cloud Engineer
Eliassen Group
Augusta, ME
- $70 to $88 USD / hour
Our client seeks a senior Cloud Engineer to own and stabilize a legacy GCP and Azure footprint while assisting with conversions and decommissioning. The role will support automation efforts…
Added 5 hours ago
EG
Cloud Engineer
Eliassen Group
Helena, MT
- $70 to $88 USD / hour
Our client seeks a senior Cloud Engineer to own and stabilize a legacy GCP and Azure footprint while assisting with conversions and decommissioning. The role will support automation efforts…
Added 5 hours ago
EG
Cloud Engineer
Eliassen Group
Baton Rouge, LA
- $70 to $88 USD / hour
Our client seeks a senior Cloud Engineer to own and stabilize a legacy GCP and Azure footprint while assisting with conversions and decommissioning. The role will support automation efforts…
Added 5 hours ago
EG
Cloud Engineer
Eliassen Group
Des Moines, IA
- $70 to $88 USD / hour
Our client seeks a senior Cloud Engineer to own and stabilize a legacy GCP and Azure footprint while assisting with conversions and decommissioning. The role will support automation efforts…
Added 5 hours ago
EG
Cloud Engineer
Eliassen Group
Phoenix, AZ
- $70 to $88 USD / hour
Our client seeks a senior Cloud Engineer to own and stabilize a legacy GCP and Azure footprint while assisting with conversions and decommissioning. The role will support automation efforts…
Added 5 hours ago
EG
Cloud Engineer
Eliassen Group
Honolulu, HI
- $70 to $88 USD / hour
Our client seeks a senior Cloud Engineer to own and stabilize a legacy GCP and Azure footprint while assisting with conversions and decommissioning. The role will support automation efforts…
Added 6 hours ago
M
Principal Software Engineer
Microsoft
WA · Redmond, WA · Redmond
- $142,800 to $304,200 USD / year
We are looking to welcome a Principal Software Engineer to a group of innovative, energetic and diverse engineers on the CoPilot Runtime Platform team, which is the engineering organization…
Added 6 hours ago
EG
Cloud Engineer
Eliassen Group
Tallahassee, FL
- $70 to $88 USD / hour
Our client seeks a senior Cloud Engineer to own and stabilize a legacy GCP and Azure footprint while assisting with conversions and decommissioning. The role will support automation efforts…

Federal Express Corporation

AI Engineer I

Plano, TX, United States

$7,882.48 to $10,444.28 USD / month

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Job details

Pay: $7,882.48 to $10,444.28 USD / month
Posting language: English
Posted: Nov 6, 2026

Original job description

Job Description

Summary: The AI Engineer 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. Job Responsibilities 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. Preferred Skills/Knowledge/Experience 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. Additional Job Description Minimum Education: Bachelor's degree in Computer Science, Data Science, Engineering or related field. Minimum Experience: Should have completed academic projects or internships involving data manipulation (Pandas), building simple models (Scikit-learn), and a basic understanding of a deep learning framework (PyTorch/TensorFlow). Experience is about applying classroom concepts to a specific, guided problem. Domicile This is a hybrid position located in Plano, TX or Pittsburgh, PA or 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. Pay Range Plano, TX: $7,882.48 / mo - $10,444.28 / mo Pittsburgh, PA: $7,882.48 / mo - $10,444.28 / mo Memphis, TN: $7,488.36 / mo - $9,922.07 / mo

Preferred Qualifications:

Pay Transparency:

Pay: Plano, TX: $7,882.48 / mo - $10,444.28 / mo Pittsburgh, PA: $7,882.48 / mo - $10,444.28 / mo Memphis, TN: $7,4 / mo - $9,922.07 / mo 88.36

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:

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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
Python
Oracle Java
C++
API development
Machine learning
Deep learning
PyTorch
TensorFlow
LangChain
SQL
Data warehousing
Normalise data
ML
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
Scikit-learn

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