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# Intermediate Artificial Intelligence (AI) Engineer- Active Secret Required

- **Company:** TARGETED APPROACH LLC
- **Location:** Havelock, NC, United States
- **Experience:** Experienced
- **Salary:** $123,574.0 - $136,576.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Configuration Management, Computer Programming, Monitoring of Systems, Python (Programming Language), Machine Learning, Tensorflow, Software Engineering, SQL Databases, Systems Architecture, Cloud Platform System, Pytorch, SC Clearance, Containerization, Kubernetes, Performance Monitor, Machine Learning Operations, Data Pipelines, Automation Anywhere, Devsecops, Docker
- **Published:** October 11, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=d718c4b1c388bf59

## About the Role

Proven experience designing and deploying machine learning models and AI applications in operational environments.
Strong programming skills in Python and SQL; experience with frameworks such as TensorFlow or PyTorch.
Hands-on experience deploying AI/ML solutions within cloud platforms like AWS, Azure or GCP.
Experience supporting the migration of on-premises systems to cloud environments.
Knowledge of automation tools for infrastructure as code (IaC), CI/CD pipelines using DevSecOps practices.
Familiarity with containerization technologies such as Docker or Kubernetes.
Understanding of DoD cybersecurity requirements including RMF and STIGs related to cloud-based AI systems.
Experience monitoring system performance for scalability and reliability in complex environments.
Active Secret Clearance is required., * Bachelor's (Preferred), * AI/ ML solutions: 2 years (Required)

## Description

Targeted Approach is seeking an experienced Intermediate Artificial Intelligence (AI) Engineer with an active Secret Clearance to support a Department of Defense program at Marine Corps Air Station. The successful candidate will provide technical expertise in AI engineering, machine learning model development, cloud deployment, automation, and security compliance. This role involves designing, developing, testing, and deploying AI/ML solutions that are reliable, scalable, and secure for operational environments. The engineer will collaborate with cross-disciplinary teams to transition AI capabilities from development to production while ensuring adherence to cybersecurity standards and performance monitoring., Design, build, test, evaluate, and deploy machine learning models and AI applications that automate tasks and improve operational processes.
Develop production-ready AI/ML systems integrating data science and software engineering principles.
Create and maintain software, scripts, data pipelines, and AI solutions using Python, SQL, and relevant frameworks such as TensorFlow or PyTorch.
Configure and deploy AI applications within cloud environments like AWS, Azure, or GCP.
Support migration of on-premises systems to cloud-based environments and modernize existing infrastructure.
Automate cloud infrastructure, data pipelines, AI workflows, deployment processes, and recurring technical activities.
Ensure compliance with DoD cybersecurity standards including RMF and STIGs for AI and cloud environments.
Monitor system performance, scalability, reliability, and operational effectiveness of AI models and cloud systems.
Troubleshoot technical issues related to AI applications, cloud environments, data pipelines, interfaces, and deployed systems.
Perform testing, validation, documentation, configuration management, and quality assurance activities throughout the development lifecycle.
Collaborate with data analysts, software developers, cybersecurity personnel, stakeholders, and SMEs to translate operational needs into effective technical solutions.
Maintain comprehensive technical documentation covering system architecture, models, configurations, interfaces, automation procedures, testing protocols.