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Project Field Engineer- Civil
Lemartec
Pontoon Beach, IL
The Civil Project Engineer is responsible for providing technical engineering information to the Project Manager, Craft Supervisors, and Corporate Functional Managers to ensure design…
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Senior Project Manager – Environmental
Langan Engineering & Environmental Services
Princeton, NJ
…participation in the firm's annual bonus and performance review program. Bonuses are discretionary and based on individual job performance and the profitability of the firm. Employees are…
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Senior Civil Engineer
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…participation in the firm's annual bonus and performance review program. Bonuses are discretionary and based on individual job performance and the profitability of the firm. Employees are…
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Project Environmental Engineer, Scientist, Geologist / Project Manager
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…participation in the firm's annual bonus and performance review program. Bonuses are discretionary and based on individual job performance and the profitability of the firm. Employees are…
Added 2 mins ago
Senior Security Engineer – ServiceNow SIR & DLP
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…clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business…
Added 4 mins ago
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Senior Network Development Engineer
Oracle
Seattle, WA
- $91,400 to $187,000 USD / year
…focused on the development and support of network fabric and systems through a combination of a deep level understanding of networking at the protocol level coupled with programming skills.…
Added 5 mins ago
ADAS Embedded SW Engineer
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Design, develop, and integrate the embedded software platform for feature applications in Ford's next-generation ADAS systems.
Added 5 mins ago
Data Engineer Senior - Data Modeling
PNC Bank NA
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The AMG Tech Back Office Operations Experience team supports the systems and data that power PNC's Asset Management Group operations. This team works at the intersection of technology,…
Added 5 mins ago
Software Engineer - ServiceNow Platform Engineer
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As a Software Engineer within PNC's Technology organization, you can be based in Pittsburgh PA, Strongsville OH, Birmingham AL, Phoenix AZ, Dallas TX or Denver CO.
Added 8 mins ago
Internship – Raytheon Systems Security Engineer -Onsite
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Systems Security Engineering creates holistic security solutions leveraging Cyber Security, Software Assurance and Supply Chain Risk Management to support Program Protection Implementation…
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Software Engineer II, Onsite
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Our Software Department in Fullerton, CA is looking to hire a Software Engineer II to work onsite in Fullerton, CA. This role is for an experienced Software Engineer in developing and…
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Thermo-Fluids Engineer II (Onsite)
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Software Engineer
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The Strategic Communication Software (SW) Engineering Department has an opportunity for a talented Software Engineer II to join our team onsite in Largo Florida. This role requires a…
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Software Engineer II
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The Strategic Communication Software (SW) Engineering Department has an opportunity for a talented Software Engineer II to join our team onsite in Largo Florida. This role requires a…
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Senior Software Engineer
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The Strategic Communication Software (SW) Engineering Department has an opportunity for a talented Sr Software Engineer to join our team onsite in Largo Florida. This role requires a…
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Project Engineer P2 (Onsite)
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Pratt & Whitney Hot Section Engineering is seeking a Project Engineer to support a new Military Development program that will shape the future of the PW Military engine business for decades…
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Project Chief, Cyber & Assurance R&D
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Collins Applied Research & Technology seeks a Project Chief Engineer to manage a diverse portfolio of emerging technologies in cyber security, tactical operations, and high assurance…
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Ci2 Chief Engineer
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As Chief Engineer, you will lead engineering teams (e.g. infrastructure, software, systems, specialties) to achieve program and technical success aligned with our customer and mission needs…
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Ignition Software Developer II
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Metrology Engineer
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U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.
Added 10 mins ago
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Spacecraft Flight Dynamics Engineer
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- $150,000 to $190,000 USD / year
We are seeking an experienced Spacecraft Flight Dynamics Engineer to join the flight program team. This role is highly hands-on and will support spacecraft from design and simulation…
Added 13 mins ago
Senior Associate, Systems Engineer (Palm Bay, FL)
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This position will be responsible for providing Systems Engineering support & leadership for space based and associated subsystems across multiple responsive space programs in the Space &…
Added 13 mins ago
Lead, Systems Engineer-Lead, Systems Engineer - Requirements & Integration
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ForceX is seeking an engineer to deliver mission-focused technical solutions from concept through deployment and sustainment. The role partners across disciplines to translate requirements…
Added 14 mins ago
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Principal Member of Technical Staff (PMTS) / Staff Software Engineer – AI Platform (Agentic Systems)
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- $197,300 to $344,700 USD / year
As a Principal Member of Technical Staff (PMTS) / Staff Software Engineer on the Agentic Operations team, you will set the technical direction and architecture for how Slack builds,…
Added 15 mins ago
Senior AI Polyglot Engineer
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We are seeking a Senior AI Polyglot Engineer to join a product domain team within our Commercial Property & Casualty (P&C) insurance business, supporting areas such as Underwriting, Claims,…

Federal Express Corporation

AI Engineer II

Memphis, TN, United States
Coraopolis, PA, United States
Plano, TX, United States

$11,410.38 USD / month

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Job details

Pay: $11,410.38 USD / month
Education: Bachelor’s degree
Experience: This includes 2+ years of hands-on experience with a deep learning framework.
Posting language: English
Posted: Nov 4, 2026

Original job description

Domicile Information:

Business 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, and 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.

Minimum Education Bachelor’s degree in Computer Science, Data Science, Engineering, or related field is required; Master’s is highly preferred. Minimum Experience Must have independently built, trained, and iterated on multiple ML models. This includes 2+ years of hands-on experience with a deep learning framework.

Pay Range:

Plano, TX: $8,896.99 / mo - $12,010.93 / mo Pittsburgh, PA: $8,896.99 / mo - $12,010.93 / mo Memphis, TN: $8,452.14 / mo - $11,410.38 / mo

Preferred Qualifications:

Pay Transparency:

Pay: Plano, TX: $8,896.99 – $12,010.93; Pittsburgh, PA: $8,896.99 – $12,010.93;Memphis, TN: $8,452.14 – $11,410.38

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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