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Human Machine Teaming Jobs in Hawaii (NOW HIRING)

Human-machine teaming * AI governance and review processes Required Skills & Experience * Bachelor's degree in computer science, AI, Data Science, Information Systems, Systems Engineering, Military ...

Human Machine Teaming information

What is human machine teaming?

Human Machine Teaming refers to the collaboration between humans and artificial intelligence (AI) systems, robots, or other machines to achieve shared goals. This partnership leverages the complementary strengths of humans—such as creativity, judgment, and adaptability—and machines, which excel at processing large amounts of data quickly and performing repetitive tasks. The goal is to improve decision-making, efficiency, and outcomes in various industries, including defense, healthcare, manufacturing, and more. Effective human machine teaming requires thoughtful design of interfaces, clear communication protocols, and ongoing training for both humans and machines to work together seamlessly.

What skills and qualifications are needed for human machine teaming?

To thrive as a Human-Machine Teaming Specialist, you need expertise in human factors engineering, systems integration, and data analysis, often supported by a background in computer science, engineering, or cognitive psychology. Familiarity with AI platforms, machine learning tools, and human-computer interaction (HCI) frameworks is typically required. Strong collaboration, problem-solving, and communication skills help bridge the gap between human users and advanced technologies. These capabilities are crucial to designing seamless interactions, ensuring safety, and optimizing the joint performance of human and machine teams.

What are common challenges in human machine teaming and how can they be addressed?

Professionals in Human Machine Teaming often encounter challenges such as balancing effective communication between humans and AI systems, ensuring trust in automated processes, and integrating new technologies into existing workflows. Addressing these challenges requires continuous learning, active collaboration with multidisciplinary teams, and clear communication of complex technical concepts to non-technical stakeholders. Regular training, user feedback loops, and staying updated on advancements in AI and human factors engineering can help professionals navigate and overcome these obstacles successfully.

What job categories do people searching Human Machine Teaming jobs in Hawaii look for?

The top searched job categories for Human Machine Teaming jobs in Hawaii are:

What cities in Hawaii are hiring for Human Machine Teaming jobs?

Cities in Hawaii with the most Human Machine Teaming job openings:

Infographic showing various Human Machine Teaming job openings in Hawaii as of June 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Remote job distribution.

AI Engineer & Integrator

SMX

Aiea, HI • On-site

Full-time

Re-posted 25 days ago


Job description

SMX is seeking an AI Engineer and Integrator to support government client at Camp Smith. The AI Integrator serves as the client-facing AI integration lead and secondary AI Engineer. This role sits close to the client and is responsible for ensuring that AI tools, processes, applications, and systems are accurate, adopted, operationally useful, and aligned with client needs.
The AI Integrator leads the Knowledge Systems Integrator team's development efforts for new tools, processes, and applications. This role works directly with the client to identify where AI can improve operational planning, dynamic data analysis, business processes, and decision-making workflows.

This position should also be classified as an AI Engineer because it requires technical AI understanding, tool development leadership, AI workflow design, and the ability to work with the primary AI Engineer on AI-enabled systems. The difference is that the AI Integrator is more client-facing and adoption-focused, while the AI Engineer is more technically focused on system development.

This position requires a current DoD Top Secret SCI security clearance which requires US citizenship for work on DoD contracts.

This position is full-time onsite in Aiea, Hawaii.

Application Deadline:  July 20, 2026

Essential Duties & Responsibilities

The AI Integrator leads the client-facing integration of AI tools, systems, processes, and applications into operational and business workflows.

  • Serve as the client-facing lead for AI integration, adoption, and workflow alignment.
  • Lead the Knowledge Systems Integrator team's development of new tools, processes, workflows, and applications.
  • Work with the AI Engineer to design and refine AI-integrated systems.
  • Ensure AI tools are accurate, useful, trusted, and aligned to client requirements.
  • Translate client operational needs into AI use cases, tool requirements, workflow designs, and adoption plans.
  • Integrate AI capabilities into military joint planning processes.
  • Support AI integration into dynamic environments that include large data streams, operational information, and changing mission variables.
  • Identify business processes that can be improved through AI, automation, and decision-support tools.
  • Develop user-facing AI workflows, prompt guides, playbooks, and SOPs.
  • Define human-in-the-loop review points, approval chains, validation steps, and escalation processes.
  • Lead user adoption, training, feedback collection, and continuous improvement.
  • Coordinate with the Knowledge Systems Integrator to ensure knowledge repositories and collaboration environments support AI workflows.
  • Coordinate with the AI Engineer to ensure AI capabilities are technically sound and operationally relevant.
  • Measure whether AI-enabled tools improve workflow performance, decision speed, knowledge reuse, and operational outcomes.
    Knowledge Areas

The AI Integrator should be familiar with or able to support:

  • Military joint planning
  • Operational workflows
  • AI-enabled decision support
  • Maven Smart System
  • Knowledge Management systems
  • Dynamic data environments
  • Business process automation
  • AI adoption and training
  • Tool development leadership
  • Human-machine teaming
  • AI governance and review processes

Required Skills & Experience 

  • Bachelor's degree in computer science, AI, Data Science, Information Systems, Systems Engineering, Military Studies, Intelligence Studies, Operations Research, Cybersecurity, or related field.
  • 6-10 years of relevant experience; additional experience may substitute for degree.
  • Military operational planning experience strongly preferred.
  • Experience leading AI integration, tool development, process improvement, or mission technology efforts.
  • Strong understanding of the Military Joint Planning Process and operational decision-making.
  • Experience integrating AI into joint planning, dynamic data environments, big data streams, and business processes.
  • Experience with Maven Smart System, AI agents, RAG, prompt workflows, human-in-the-loop review, and AI-enabled decision support.
  • Ability to lead the KSI team's development of new tools, processes, applications, and AI workflows.
  • Ability to serve as the client-facing lead for AI adoption, validation, training, and workflow integration.
  • Must meet applicable DoD 8140 / DCWF requirements.
  • IAM Level II or IAT Level II equivalent certification preferred; IAM Level III, IAT Level III, or IASAE-equivalent preferred for senior lead roles.
  • AWS certifications preferred: AWS Cloud Practitioner, Solutions Architect - Associate, Machine Learning Engineer - Associate, Machine Learning - Specialty, Security - Specialty, Developer - Associate, or Solutions Architect - Professional.
  • Technical fluency in Python, SQL, JavaScript/TypeScript, APIs, cloud AI tools, databases, dashboards, automation, and low-code/no-code platforms.
  • Leadership experience managing technical teams, development priorities, client working groups, AI adoption, and stakeholder communication required.

Desired Skills & Experience 

  • Experience with Maven Smart System or Palantir-related platforms.
  • Experience as an AI Engineer, AI Integrator, or technical product lead.
  • Experience supporting military staffs, planning teams, operations centers, or intelligence workflows.
  • Experience integrating AI into joint planning or operational decision cycles.
  • Experience leading low-code/no-code tool development.
  • Experience with cloud AI services, data platforms, or automation tools.
  • Experience developing AI adoption plans, prompt playbooks, and AI SOPs.

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SMX logo

About SMX

Sourced by ZipRecruiter

Our tradition of delivering innovative, technical solutions dates back to 1995, however, you may know us better by one of our legacy company names: Trident Technologies, Smartronix, Datastrong or C2S Consulting Group. With the support of OceanSound Partners, our private equity investment sponsor, we began operating as one business starting in 2019 and became SMX in 2021. We operate in close proximity to our clients around the globe and have core locations in Alabama, California, DC Metro, Florida, Hawaii, Maryland, and Massachusetts. Today, as SMX, we are one team and together empower government and commercial enterprises to become more effective, innovative, and resilient, no matter what challenges they face.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Hollywood, MD, US