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# AI DevOps/ AI/ML Engineer

- **Company:** Global Channel Management, Incorporated
- **Location:** Charlotte, NC, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Java (Programming Language), Agile Methodology, Artificial Intelligence, Amazon Web Services, Automation of Tests, Microsoft Azure, Cloud Computing, Cloud Engineering, Continuous Integration, DevOps, Github, Python (Programming Language), Reliability Engineering, OpenAI, Tensorflow, Security Software, Software Engineering, SonarQube, Software Vulnerability Management, Google Cloud, Pytorch, LangChain, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Model Validation, Software Troubleshooting, Agentic-AI, Gitlab, Gitlab-ci, Scikit Learn, Information Technology, Deployment Automation, CrewAI, Claude, Software Version Control, Devsecops, Jenkins, Static Application Security Testing, Vulnerability Analysis, Artifactory, Programming Languages, Dynamic Application Security Testing
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/ai-devops-ai-ml-engineer-charlotte-nc--3abaf292-0794-4d81-b1d7-46635b56fd7d

## About the Role

DevOps, Artificial Intelligence (AI), DevOps, Reliability Engineering, Artificial Intelligence (AI), Use Cases, MCP - Microsoft Certified Professional, Software Engineering, Cloud Computing, Automation, AI DevOps/ AI/ML Engineer needs 7+ years of experience in DevSecOps, Site Reliability Engineering,

AI DevOps/ AI/ML Engineer requires:

 * LLM ( Claude/ OpenAI) with focus on reasoning/agentic use cases
 * Agentic AI framework LangChain, LangGraph, CrewAI
 * Context Engineering
 * MCP
 * Vector databases
 * RAG
 * Python language proficiency is must.
 * Deep understanding of cloud engineering as related AI, DevOps, Automation
 * Strong troubleshooting and problem-solving abilities
 * Excellent communication skills to work with both data scientists and operations teams
 * Familiarity with agile development methodologies
 * Knowledge of security best practices for AI systems
 * Ability to balance technical requirements with business needs
 * Iselin, NJ, Charlotte, NC

 * Hands on knowledge of AI tools, Models, practical use case implementation
 * Proficiency in at least one programming language commonly used in AI (Python, Java)
 * Hands-on experience with cloud platforms (AWS, Azure, GCP)
 * Understanding of ML frameworks (TensorFlow, PyTorch, scikit-learn)
 * Experience with CI/CD tools (Jenkins, GitHub, GitLab CI, Artifactory)
 * Hands on experience with automated security vulnerability detection and remediation using security scanning tools in DAST/SAST/IAST scanning space
 * Hands on experience building and deploying Agentic capabilities using AI Agentic tools, processes across the technology and business landscape
 * Bachelor's degree in Computer Science, Engineering, or related field
 * Hybrid

AI DevOps/ AI/ML Engineer duties:

 * Implement version control for code, data, and models using GitLab, SonarQube, Jenkins, Artifactory
 * Automate testing frameworks using AI capabilities, including model validation tests
 * Design blue/green deployment strategies using AI capabilities
 * Automated build, scans and deploy including vulnerability remediation capabilities