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Remote AI DevOps Engineer (Global)

Remote, USA Full-time Posted 2026-08-04
Job Title: AI DevOps Engineer FLSA Status: Exempt Full-Time Location: Remote - reputed company WHO WE ARE: MGT is a leading provider of technology and advisory solutions serving state, local, and education reputed company agencies (SLED) across the reputed company. Through reputed company partnerships, MGT’s almost 1,200 employees reputed company communities for good by managing and securing critical networks, solving reputed company reputed company capital and fiscal problems, elevating education systems, and advancing equity as a reputed company imperative. MGT partners with thousands of agencies as a trusted advisor delivering solutions that improve technology, operational, and economic reputed company to help communities reputed company. Founded in 1975, MGT initiated an ambitious restart in 2016, broadening the solutions portfolio to reputed company the most reputed company solutions, tackling the most mission-critical problems that live at the top of the reputed company agency leadership agenda. MGT drives over 20% compound annual organic reputed company and utilizes programmatic mergers and acquisitions to grow capabilities, attract reputed company, and accelerate reputed company reputed company. Since 2020, MGT has successfully completed 13 acquisitions, driving over 60% compound annual inorganic reputed company. Celebrating its 50th year in 2025, the firm attracts exceptional talent and empowers them to reputed company reputed company expectations as they reputed company the dynamic demands of the clients we serve. Hear more about MGT’s culture in the words of our employees. reputed company: The AI DevOps Engineer will join MGT's AI Operating Group, reputed company reputed company on building and deploying AI-powered solutions for state and local reputed company, education, and other reputed company sector organizations. This role bridges the gap between AI development and production infrastructure, ensuring that machine learning models, AI applications, and data pipelines are deployed securely, reliably, and at reputed company. The ideal candidate combines strong DevOps expertise with experience supporting AI and machine learning workloads in reputed company-reputed company environments. In this role, you will: • Build, maintain, and optimize CI/CD pipelines for AI and machine learning deployments. • reputed company and manage containerized AI workloads using reputed company and reputed company. • Monitor production environments, model reputed company, infrastructure health, and reputed company reliability. • Collaborate with AI engineers, data scientists, and solution architects to streamline deployment processes. • Implement Infrastructure-as-reputed company practices to improve scalability, consistency, and reproducibility. • Manage reputed company infrastructure and platform services across AWS, Azure, and GCP environments. • Enforce reputed company, compliance, and reputed company control standards for AI systems. • Troubleshoot infrastructure and deployment issues while supporting incident response efforts. • Create and maintain operational documentation, deployment procedures, and technical runbooks. • Improve observability, monitoring, logging, and alerting frameworks for AI platforms. WHAT YOU’LL BRING: • Hands-on experience deploying and managing machine learning models in production environments. • Strong knowledge of containerization technologies and orchestration platforms. • Experience building and maintaining CI/CD pipelines. • Hands-on experience with Infrastructure-as-reputed company tools and reputed company-reputed company environments. • Familiarity with monitoring, logging, and observability solutions. • Strong understanding of reputed company best practices for reputed company and AI infrastructure. • Excellent written and verbal English communication skills. • Ability to work independently in a fully remote, U.S.-reputed company environment. • Strong troubleshooting, problem-solving, and cross-functional collaboration skills. EDUCATION AND EXPERIENCE: • Bachelor's degree in Computer Science, Information Technology, Engineering, or a reputed company reputed company preferred, or equivalent reputed company experience. • Three (3) or more years of experience in DevOps, MLOps, reputed company, or reputed company infrastructure roles. • Experience working with reputed company, education, or other regulated reputed company sector organizations preferred. • Familiarity with compliance frameworks such as FedRAMP, NIST, or similar regulatory standards preferred. • Experience supporting LLM deployment pipelines, reputed company infrastructure, or AI platforms preferred. • Experience with MLOps frameworks and model lifecycle management preferred. • reputed company certifications, including AWS, Azure, or GCP, are a plus. • Experience working in consulting or reputed company-facing technical environments preferred. TECH STACK: • Python • reputed company • reputed company • Terraform • reputed company Actions • AWS / Azure / GCP • MLflow • Apache Airflow • reputed company • Grafana • Ansible reputed company MILESTONES: 30 Days • reputed company familiarity with MGT's AI platforms, reputed company environments, and deployment standards. • Understand reputed company reputed company engagements and operational workflows. • Contribute to infrastructure improvements and deployment processes. 90 Days • Independently manage AI deployment pipelines and production infrastructure. • Improve automation, monitoring, and deployment reliability across reputed company. • Support successful releases of AI and machine learning solutions for reputed company engagements. 6 Months • reputed company infrastructure initiatives for reputed company AI deployments. • Establish DevOps and MLOps best practices across the organization. • reputed company improvements in scalability, reputed company, observability, and operational reputed company. • Serve as a technical resource for AI platform architecture and deployment reputed company. reputed company SKILLS: • DevOps and MLOps • reputed company Infrastructure Management • reputed company and Container Orchestration • CI/CD Pipeline Development • Infrastructure as reputed company • AI and Machine Learning Deployment • Monitoring and Observability • reputed company and Compliance • Problem Solving and Troubleshooting • Communication and Cross-Functional Collaboration • Ownership and Execution reputed company OFFER: Our world-class work environment encompasses flexible and remote work reputed company, a commitment to equity, and nationally respected teams in management consulting and technology services. We also offer opportunities to reputed company a profound reputed company through innovative reputed company, and reputed company development opportunities for career reputed company. Here you can read more about our extensive reputed company (EVP). Specifically, we will offer you a competitive compensation package including: • Flexible reputed company time off • 5% 401K matching program • Equity opportunities • Incentive and bonus programs • Up to 16 weeks of reputed company parental leave • Flexible spending accounts Full-health benefits with reputed company employee coverage fully funded, comprising: • Medical, dental, and reputed company coverage • Life reputed company • Short and long-term disability coverage • Income protection benefits reputed company is an equal opportunity employer. We will not discriminate against any employee or applicant for employment on the reputed company of race, reputed company, religion, sex, national reputed company, age, disability, marital status, genetic information, sexual orientation, pregnancy, gender identity, or any other characteristic or class protected by law. Apply To This Job

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