AI Engineer (5714)

SMX; Aiea (HI); On-site; USD 140,000 - 173,000; Full time

Benefits offered by this job

Health insurance

Paid leave

Retirement plan

Job summary

SMX in Aiea, Hawaii, seeks an AI Engineer to support a DoD government client at Camp Smith. The role designs, builds, tests, and improves AI-enabled systems to transform client workflows and decision making, with a focus on integrating tools, data, and knowledge management.

Candidates must hold TS/SCI clearance, a related degree, and 5–8 years of experience in AI-enabled systems. Experience with Maven Smart System and cloud environments is preferred. The position is full-time onsite in Hawaii.

Qualifications

• DoD TS/SCI clearance required.
• Bachelor’s degree in a related field.
• 5–8 years in AI-enabled systems or equivalent.
• Military operational experience preferred.
• Experience with Maven Smart System and cloud environments.
• IAT/IAM certifications preferred for elevated roles.

Responsibilities

• Build AI-enabled systems transforming client processes into integrated tools and workflows.
• Design, build, and support AI-integrated systems to improve workflows and decision-making.
• Transform operational processes into AI-enabled tools and environments.
• Support Maven Smart System as the primary AI/operational platform.
• Develop retrieval-augmented generation workflows using organizational data.
• Develop in-house LLM capabilities trained on approved data where authorized.
• Design prompt templates, chains, and reusable AI patterns.
• Ensure AI tools are operationally useful and connected to real workflows.
• Support AI governance, human-in-the-loop review, and data protection.

Skills

TS/SCI clearance

AI/ML development

Military operational experience

Cloud environments & APIs

RAG, LLMs & AI agents

Maven Smart System

Knowledge management

Data integrations

Education

Bachelor’s degree in CS/AI/DS/SE/related field

Tools

Maven Smart System

Python

APIs

Vector search/Embeddings

LLM development frameworks

Job description

SMX is seeking an AI Engineer to support government client at Camp Smith. The AI Engineer designs, develops, tests, and improves AI-enabled systems that support client operations, business processes, and organizational Knowledge Management. This role transforms business and operational processes into tools that can be integrated into AI harnesses, workflows, and agentic systems.
The ideal candidate has a balanced technical background and military operational experience. This combination allows the AI Engineer to understand real operational processes and convert them into practical AI-integrated systems. The AI Engineer should be able to work with Maven Smart System as the primary platform while also understanding cloud environments, AI tools, data systems, and modern AI development patterns.
This role supports the creation of AI capabilities that may include AI-integrated tools, retrieval workflows, organizational data models, internal LLM development, prompt systems, AI agents, and systems that use organizational data to improve decision support.

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.

• The AI Engineer builds the AI-enabled technical capability that transforms client processes into integrated tools, workflows, and AI systems.
• Design, build, and support AI-integrated systems that improve client workflows and decision-making.
• Transform operational and business processes into tools that can be integrated into AI-enabled environments.
• Support Maven Smart System as the primary AI and operational integration platform.
• Develop AI-enabled workflows that connect organizational knowledge, data, tools, and decision processes.
• Support the design and development of in-house LLM capabilities trained or tuned on approved organizational data, where authorized.
• Develop retrieval-augmented generation workflows using trusted organizational data sources.
• Support AI agent workflows that retrieve information, summarize content, call tools, generate draft products, and support human decision-making.
• Design prompt templates, prompt chains, structured outputs, and reusable AI patterns.
• Integrate AI systems with cloud environments, APIs, databases, knowledge repositories, dashboards, and workflow tools.
• Support embedding models, vector search, knowledge retrieval, data ingestion, and AI search capabilities.
• Develop methods to test and evaluate AI system performance, accuracy, relevance, and usefulness.
• Work with the AI Integrator and Knowledge Systems Integrator to ensure AI tools are operationally useful, adopted by users, and connected to real client workflows.
• Support AI governance, human-in-the-loop review, data protection, and auditability.

Required Skills & Experience

• Clearance Required: TS/SCI
• Bachelor’s degree in computer science, AI, Data Science, Software Engineering, Information Systems, Cybersecurity, Engineering, or related field.
• 5–8 years of relevant technical experience; additional experience may substitute for degree.
• Military operational experience is strongly preferred.
• Experience developing AI-enabled systems, tools, workflows, automation, or data integrations.
• Experience with Maven Smart System as the primary AI/operational platform preferred.
• Strong understanding of cloud environments, AI tools, APIs, databases, and system integration.
• Experience with RAG, LLMs, AI agents, embeddings, vector search, prompt engineering, and AI evaluation.
• Ability to transform business and operational processes into AI-integrated tools.
• Experience supporting in-house LLMs or domain-adapted AI systems using organizational data preferred.
• IAT Level II or IAM Level I equivalent certification preferred; IAT Level III, IAM Level II, or IASAE-equivalent preferred for elevated technical roles.
• Ability to test and evaluate AI outputs.
• Understanding of human-in-the-loop review and responsible AI use.
• Military operational experience or strong understanding of military workflows.

Desired Skills & Experience

• Experience with Palantir or Maven Smart System.
• Experience with Python, APIs, data pipelines, or AI development frameworks.
• Experience creating RAG systems, AI agents, or prompt libraries.
• Experience with internal LLM development, fine-tuning, or domain adaptation.
• Experience building AI systems around organizational data.

#LI-AP1 #CJPOST

The SMX salary determination process takes into account a number of factors, including but not limited to, geographic location, Federal Government contract labor categories, relevant prior work experience, specific skills, education and certifications. At SMX, one of our Core Values is to Invest in Our People so we offer a competitive mix of compensation, learning & development opportunities, and benefits. Some key components of our robust benefits include health insurance, paid leave, and retirement.

The proposed salary for this position is:

$140,000 - $173,000 USD

At SMX®, we are a team of technical and domain experts dedicated to enabling your mission. From priority national security initiatives for the DoD to highly assured and compliant solutions for healthcare, we understand that digital transformation is key to your future success.

We share your vision for the future and strive to accelerate your impact on the world. We bring both cutting edge technology and an expansive view of what’s possible to every engagement. Our delivery model and unique approaches harness our deep technical and domain knowledge, providing forward-looking insights and practical solutions to power secure mission acceleration.

SMX is an Equal Opportunity employer including disabilities and veterans.

Selected applicant may be subject to a background investigation and/or education verification.

SMX does not sponsor a new applicant for employment authorization or immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).

Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self-identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file.

As set forth in SMX’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.

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The application deadline for this role is October 17, 2026