AI Systems Administrator

AI SYSTEMS ADMINISTRATOR

MCI is one of the fastest-growing tech-enabled business services companies in the USA, with a strong call center footprint and operations that extend across multiple countries. We deliver Customer Experience (CX), Business Process Outsourcing (BPO), and Anything-as-a-Service (XaaS) cloud technology solutions across a wide range of industries, including healthcare, retail, government, education, telecom, technology e-commerce, and financial services. Our contact centers are powered by both on-site and remote agents, leveraging advanced technologies to enhance customer journeys, drive scalability and reduce costs.

At MCI we are committed to fostering an environment where professionals can build meaningful careers, access continuous learning and development opportunities and contribute to the success of a globally expanding, industry-leading organization.

We are seeking a technically skilled, proactive, and detail-oriented AI Systems Administrator to support, maintain, and optimize the infrastructure powering our artificial intelligence and machine learning environments. This role ensures the reliability, scalability, and security of AI systems, models, and related data pipelines bridging the gap between technical operations and advanced AI innovation.

To be considered for this role, you must complete a full application on our company careers page, including all screening questions and a brief pre-employment test.

POSITION RESPONSIBILITIES

Key Responsibilities:

System Management

• Oversee, configure, monitor AI and ML systems, servers, and cloud environments to ensure optimal performance and uptime.
• Manage GPU/CPU clusters and ensure efficient resource allocation for training and inference workloads.

Infrastructure Optimization

• Implement and maintain scalable infrastructure to support large language models (LLMs), data processing pipelines, and model deployment.
• Optimize system performance through tuning, automation, and proactive maintenance.

Security & Compliance

• Apply best practices for securing AI systems, ensuring data integrity, confidentiality and compliance with company and industry standards.
• Manage user access, permissions, and security configurations across AI platforms.

Deployment & Integration

• Support the deployment and integration of AI models and APIs into production environments.
• Collaborate with developers, data scientists, and prompt engineers to ensure seamless system functionality and workflow automation.

Monitoring & Troubleshooting

• Monitor system health, usage, and performance metrics; diagnose and resolve infrastructure or software issues.
• Maintain logs, conduct root cause analysis, and implement corrective actions to prevent recurrence.

Automation & Scripting

• Develop scripts and tools to automate system tasks, data transfers, and performance checks.
• Support CI/CD pipelines for AI model updates and system maintenance.

Documentation & Support

• Create and maintain detailed documentation of system configurations, procedures, and troubleshooting guides.
• Provide technical support to AI teams, ensuring smooth operation of all AI systems and tools.

Research & Continuous Improvement

• Stay up to date with advancements in AI infrastructure, cloud technologies, and MLOps practices.
• Recommend and implement improvements to enhance system reliability and scalability.

CANDIDATE QUALIFICATIONS

All positive, and driven applicants are encouraged to apply. The Ideal candidates for this position are highly motivated and dedicated and should possess the below qualities:

• Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related field.
• 2+ years of experience in systems administration, DevOps, or infrastructure management (AI/ML environment experience preferred).
• Strong understanding of cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
• Experience with Linux/Unix administration, Python/Bash scripting, and automation tools (Terraform, Ansible, Jenkins).
• Familiarity with machine learning frameworks (TensorFlow, PyTorch) and AI model deployment pipelines.
• Understanding of networking, security, and storage in distributed computing environments.
• Experience with GPU-based computing and performance optimization for AI workloads.
• Excellent problem-solving, troubleshooting, and documentation skills.
• Strong collaboration and communication abilities to work with cross-functional AI and engineering teams.

PHYSICAL REQUIREMENTS

This job operates in a professional office environment. While performing the duties of this job, the employee will be largely sedentary and will be required to sit/stand for long periods while using a computer and telephone headset. The employee will be regularly required to operate a computer and other office equipment, including a phone, copier, and printer. The employee may occasionally be required to move about the office to accomplish tasks; reach in any direction; raise or lower objects, move objects from place to place, hold onto objects, and move or exert force up to forty (40) pounds.

CONDITIONS OF EMPLOYMENT

All MCI Locations

• Must be authorized to work in the country where the job is based.

Subject to the program and location of the position

• Must be willing to submit up to a LEVEL II background and/or security investigation with a fingerprint. Job offers are contingent on background/security investigation results.
• Must be willing to submit to drug screening. Job offers are contingent on drug screening results. (Does not apply in Canada)

REASONABLE ACCOMMODATION

Consistent with the Americans with Disabilities Act (ADA), it is the policy of MCI and its affiliates to provide reasonable accommodations when requested by a qualified applicant or employee with a disability unless such accommodations would cause undue hardship. The policy regarding requests for reasonable accommodation applies to all aspects of employment. If reasonable accommodations are needed, please contact Human Resources.

EQUAL OPPORTUNITY EMPLOYER

At MCI and its subsidiaries, we embrace differences and believe diversity is a benefit to our employees, our company, our customers, and our community. All aspects of employment at MCI are based solely on a person's merit and qualifications. MCI maintains a work environment free from discrimination, one where employees are treated with dignity and respect. All employees share in the responsibility for fulfilling MCI's commitment to a diverse and equal opportunity work environment.

MCI does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations, and ordinances. MCI will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements.

MCI will not tolerate discrimination or harassment based on any of these characteristics. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of MCI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where an employee works.

ABOUT MCI (PARENT COMPANY)

MCI helps customers take on their CX and DX challenges differently, creating industry-leading solutions that deliver exceptional experiences and drive optimal performance. MCI assists companies with business process outsourcing, staff augmentation, contact center customer services, and IT Services needs by providing general and specialized hosting, software, staff, and services.

In 2019, Marlowe Companies Inc. (MCI) was named by Inc. Magazine as Iowa's Fastest Growing Company in the State of Iowa and was named the 452nd Fastest Growing Privately Company in the USA, making the coveted top 500 for the first time. MCI's subsidiaries had previously made Inc. Magazine's List of Fastest-Growing Companies 15 times, respectively. MCI has ten business process outsourcing service delivery facilities in Georgia, Florida, Texas, New Mexico, California, Kansas, Nova Scotia, South Africa, and the Philippines.

Driving modernization through digitalization, MCI ensures clients do more for less. MCI is the holding company for a diverse lineup of tech-enabled business services operating companies. MCI organically grows, acquires, and operates companies that have synergistic products and services portfolios, including but not limited to