AI Engineer & Integrator

AI Engineer & Integrator

SMX is seeking an AI Engineer and Integrator to support a government client at Camp Smith. The AI Integrator serves as the client‑facing AI integration lead and secondary AI Engineer. This role works closely with the client to ensure AI tools, processes, applications, and systems are accurate, adopted, operationally useful, and aligned with client needs.

Security Clearance: Current DoD Top Secret SCI clearance is required; US citizenship is mandatory for DoD contracts.
Location: On‑site in Aiea, Hawaii.
Final date to receive applications: July 20, 2026.

• Lead 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.
• Collaborate 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.

• Military joint planning
• Operational workflows
• AI‑enabled decision support
• Maven Smart System
• Knowledge Management systems
• Business process automation
• AI adoption and training
• Human‑machine teaming
• AI governance and review processes

• Bachelor’s degree in computer science, AI, data science, information systems, systems engineering, military studies, intelligence studies, operations research, cybersecurity, or a related field.
• 6–10 years of relevant experience; additional experience may substitute for a 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.
• 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:
  Cloud Practitioner, Solutions Architect – Associate, Machine Learning Engineer – Associate, Machine Learning – Specialty, Security – Specialty, Developer – Associate, or Solutions Architect – Professional.
• Leadership experience managing technical teams, development priorities, client working groups, AI adoption, and stakeholder communication required.

• 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 with cloud AI services, data platforms, or automation tools.
• Experience developing AI adoption plans, prompt playbooks, and AI SOPs.

Proposed salary: $140,000–$173,000 USD. SMX offers a competitive mix of compensation, learning & development opportunities, and benefits, including health insurance, paid leave, and retirement plans.

SMX is an equal‑opportunity employer, including for people with disabilities and veterans. Selected applicants may be subject to background investigation and/or education verification.