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Logistics Artificial Intelligence Jobs (NOW HIRING)

Stefanini is looking for an Artificial Intelligence Engineer (Dearborn, MI) For quick apply, please ... logistics, sustainability & risk management, resilience, etc.Act as the primary technical lead for ...

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Logistics Artificial Intelligence information

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How much do logistics artificial intelligence jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for logistics artificial intelligence in the United States is $21.85, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $24.04 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Logistics Artificial Intelligence Specialist, and why are they important?

To thrive as a Logistics Artificial Intelligence Specialist, you need a strong background in logistics operations, data analysis, and AI/machine learning principles, often supported by a relevant degree in computer science, engineering, or supply chain management. Familiarity with programming languages (such as Python or R), AI frameworks (like TensorFlow or PyTorch), and logistics management systems (TMS, WMS, ERP) is essential. Critical thinking, problem-solving, and effective communication are vital soft skills for designing innovative solutions and collaborating with cross-functional teams. These skills are crucial for leveraging AI to optimize supply chain processes, drive efficiency, and maintain a competitive edge in logistics operations.

How does a Logistics Artificial Intelligence specialist typically collaborate with other departments within a supply chain organization?

A Logistics Artificial Intelligence specialist often works closely with teams such as operations, IT, procurement, and customer service to implement AI-driven solutions that improve efficiency and accuracy. They may analyze data provided by operations managers, coordinate with IT for system integration, and communicate insights to decision-makers to optimize routes, inventory, and delivery processes. Effective collaboration is key, as the specialist must understand the needs and workflows of each department to tailor AI models that address real-world logistics challenges. Regular meetings, cross-functional project teams, and clear communication channels are common practices in this role.

What is the difference between Logistics Artificial Intelligence vs Logistics Data Analyst?

AspectLogistics Artificial IntelligenceLogistics Data Analyst
Required CredentialsDegree in Computer Science, Data Science, or related fields; knowledge of AI and machine learningDegree in Data Analytics, Statistics, or related fields; proficiency in data analysis tools
Work EnvironmentTech-driven logistics companies, AI development teams, automation projectsLogistics firms, supply chain departments, data analysis teams
Employer & Industry UsageUsed to develop predictive models, optimize routes, automate decision-makingUsed to interpret data, generate reports, support operational decisions

While both roles involve working with data in logistics, Logistics Artificial Intelligence focuses on developing AI systems and algorithms to automate and optimize logistics processes. In contrast, Logistics Data Analysts interpret data to inform decisions but do not typically develop AI models. Both roles are essential in modern supply chain management but serve different functions within the industry.

What are Logistics Artificial Intelligence jobs?

Logistics Artificial Intelligence jobs involve applying AI technologies to optimize and automate logistics processes such as supply chain management, inventory tracking, route planning, and demand forecasting. Professionals in this field work on developing, implementing, and managing AI-driven solutions that improve efficiency, reduce costs, and enhance decision-making in logistics operations. These roles can include AI engineers, data scientists, machine learning specialists, and logistics analysts who specialize in AI applications. The growing use of AI in logistics is transforming how goods are transported, stored, and delivered across industries.
More about Logistics Artificial Intelligence jobs
What cities are hiring for Logistics Artificial Intelligence jobs? Cities with the most Logistics Artificial Intelligence job openings:
What states have the most Logistics Artificial Intelligence jobs? States with the most job openings for Logistics Artificial Intelligence jobs include:
What job categories do people searching Logistics Artificial Intelligence jobs look for? The top searched job categories for Logistics Artificial Intelligence jobs are:
Infographic showing various Logistics Artificial Intelligence job openings in the United States as of June 2026, with employment types broken down into 91% Full Time, 7% Part Time, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $45,453 per year, or $21.9 per hour.
Sr. Artificial Intelligence (AI) Specialist

Sr. Artificial Intelligence (AI) Specialist

Knowledge Management, Inc

Arlington, VA • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago


Job description

Knowledge Management, Inc. (KMI) has the leadership and experience to deliver innovative technology, logistics and management solutions to meet real mission requirements. KMI is a Minority Business Enterprise (MBE) and Small Disadvantage Business (SDB) that specializes in Logistics, Warehouse Services, Distance Learning/Training, Enterprise Solutions, Financial Management Support, Program Management, Intelligence Analysis & Threat Assessment, and Data Analytics/Operations Research. Since 1998, our solutions and services have helped our clients improve performance, drive cost and operational effectives, and map technology needs for tomorrow's requirements.
Job Requisition: Sr. Artificial Intelligence (AI) Specialist
Location: Pentagon (On-Site)
Customer: Headquarters, U.S. Marine Corps
Salary Range: $ 150,000.00 - $ 186,700.00
Clearance: DoD SECRET (Active)
Job Description:
Knowledge Management, Inc. is seeking an experienced Sr. Artificial Intelligence Specialist to support program efforts within Headquarters, U.S. Marine Corps. Ideally, this individual will be intimately familiar with Marine Corps logistics systems, logistics data and logistics data sources, and Marine Corps organization and structure.
Key Responsibilities:
- Provide guidance to HQMC stakeholders on the availability / utility of Artificial Intelligence products in the Department of War portfolio with specific focus on agentic capabilities
- Provide guidance to HQMC stakeholders on Artificial Intelligence policy decisions with a focus on agentic capability changes
- Using available technology, create Artificial Intelligence agents for testing and use by Marine Corps stakeholders at HQMC and across the enterprise
- Provide guidance and support for the testing and implementation of Artificial Intelligence agentic governance
Minimum Qualifications:
  • Demonstrated experience working with Artificial Intelligence/Machine Learning agentic tools
  • Minimum of 12 years of experience with data analytics, data engineering, software engineering, or similar roles
  • Master's degree in Computer systems, Data Analytics, Computer Science, Software Engineering, or a similar field.

Desired Qualifications:
  • Familiarity of the organization structure of the Marine Corps operating forces, the Support Establishment, Reserves, and other DoD agencies
  • Have a mastery of HQMC administrative organization, processes, and procedures
  • Proficient in SharePoint and Microsoft Suite: Word, Excel, Teams, and PowerPoint
  • Proficient in knowledge management to include 1) assessing needs and defining strategy, 2) analyze and design, 3) pilot and implement, 4) monitor and improve.

Security Clearance:
  • Active DoD Secret security clearance required.

Availability
  • This position is available 16 May 2026

Benefits: All full-time employees are eligible to participate in our benefits programs:
  • Health, dental, and vision insurance
  • 401(k) retirement plan
  • Paid time off (PTO) and holidays
  • Group Term Life and Accidental Death and Dismemberment Insurance
  • Voluntary Term Life Insurance
  • Short and Long-term disability insurance

Equal Employment Opportunity Statement. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
E-Verify Statement. Knowledge Management, Inc. participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, KMI is required to give you written instructions and an opportunity to contact Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9.
Pay Transparency Non-Discrimination Provision. Knowledge Management, Inc. will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c)
Disability Statement. If you have a disability and need reasonable accommodation or assistance at any point in the application or onboarding process, please email us at .