> Markdown version of [/jobs/ext/3814504-principal-ai-cloud-engineer](https://www.wearedevelopers.com/jobs/ext/3814504-principal-ai-cloud-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal AI/Cloud Engineer - **Company:** Nlogic, Inc. - **Location:** Charlotte, NC, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Cloud Engineering, CompTIA Security+, Programming Tools, Python (Programming Language), Machine Learning, Tensorflow, Software Engineering, SQL Databases, Systems Integration, Virtualization Technology, Google Cloud, Enterprise Software Applications, Cloud Platform System, Pytorch, Infrastructure Automation Frameworks, Cloud Migration - **Published:** October 18, 2026 - **Apply:** https://www.dice.com/job-detail/4b2a4d86-b976-4824-97cd-5a726f362051 ## About the Role * Active, in-scope Secret security clearance or the ability to obtain and maintain a Secret security clearance required., + Bachelor's degree in a STEM-related field and 8 years of relevant experience; or Master's degree in a STEM-related field and 6 years of relevant experience; or PhD in a STEM-related field and 4 years of relevant experience; or Associate degree and 7 years of relevant experience; or High school diploma and 12 years of relevant experience * Experience designing, building, testing, and deploying AI and machine learning solutions * Experience integrating software engineering and data science principles * Experience with Python, SQL, and associated development tools * Experience with TensorFlow, PyTorch, or similar AI frameworks * Experience designing and deploying cloud architectures within AWS, Azure, Google Cloud Platform, or equivalent platforms * Experience maintaining cloud and virtualized infrastructure environments * Experience supporting cloud migration efforts * Experience automating infrastructure, cloud, data, and AI processes * Experience supporting security compliance initiatives * Experience monitoring system, application, AI model, and cloud performance Preferred Qualifications * Experience leading enterprise AI and cloud initiatives * Experience supporting large-scale cloud modernization efforts * Relevant cloud, AI, or cybersecurity certifications * Experience supporting mission-critical DoD systems * Experience providing technical leadership across multidisciplinary teams Position Details * Work Model: Full-Time, Onsite in Cherry Point, NC * Travel: Occasional travel may be required in support of customer requirements * Work Hours: Standard work hours * U.S. Citizenship is required * Active U.S. Secret security clearance required (or ability to obtain and maintain) ## Description nLogic is seeking a Principal AI/Cloud Engineer to support anticipated work on a mission-focused effort in the Cherry Point area. This role will play a key part in leading artificial intelligence, machine learning, cloud architecture, automation, and systems modernization initiatives within a collaborative defense and technology environment. In this role, you will provide technical leadership for AI and cloud engineering efforts, guiding the design, deployment, and sustainment of scalable solutions that support mission-critical operations and enterprise modernization objectives. Responsibilities * Lead the design, development, testing, and deployment of AI and machine learning solutions * Architect and implement cloud-based environments supporting AI and enterprise applications * Provide technical leadership for AI and cloud engineering initiatives * Develop production-ready artificial intelligence systems.Lead cloud infrastructure deployment and modernization activities * Support migration of on-premises systems to cloud environments * Design and implement automation solutions that improve operational efficiency and scalability * Support compliance with security requirements and industry best practices * Monitor AI model, application, and cloud environment performance * Provide technical guidance and troubleshooting support across engineering teams.