AI ML Infrastructure Engineer at CACI

, Colorado, United States -

Full Time

Start Date

Immediate

Expiry Date

22 May, 26

Salary

142700.0

Posted On

22 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Linux Systems Administration, Bash, Python, Ansible, Docker, Kubernetes, On-Prem Servers, Networking Protocols, Routing, Switching, GPU Compute Cluster Management, FIPS-Enabled Linux, Ceph, Cross-Domain Solutions, DevSecOps, VMware

Industry

IT Services and IT Consulting

Description

Job Title: AI ML Infrastructure Engineer Job Category: Information Technology Time Type: Full time Minimum Clearance Required to Start: None Employee Type: Regular Percentage of Travel Required: None Type of Travel: None Anticipated Posting End: 5/31/2026 The Opportunity: Join our innovative AI Research and Development team as an AI/ML Infrastructure Engineer. In this role, you'll collaborate with world-class scientists and engineers to design, deploy, and maintain a state-of-the-art Linux-based infrastructure. You'll be at the cutting edge of machine learning and artificial intelligence, contributing to projects in computer vision, natural language processing, large language models, and more. Be a part of shaping the future of AI in the defense industry! Responsibilities: Design, procure, build, implement, and maintain on-prem servers, workstations, and software tooling across multiple development environments. Implement infrastructure components to support distributed compute, storage, and dataset management. Ensure system compliance with security requirements, including system updates and developing a System Security Plan (SSP). Manage access and integration with commercial cloud providers such as AWS. Design, implement, and maintain hybrid cloud architectures connecting on-premises environments with cloud infrastructure. Develop and support cross-domain solutions for secure data transfer between networks of varying classification levels. Configure and manage networking components (VPNs, Direct Connect, gateways, firewalls) to support hybrid connectivity. Collaborate with cybersecurity, infrastructure, and application teams to ensure secure, scalable, and resilient cloud integrations. Monitor and optimize cloud connectivity performance, availability, and cost efficiency. Support accreditation and compliance activities related to cloud and cross-domain architectures. Coordinate with data scientists and software engineers to understand and plan infrastructure requirements. Support other hardware, such as edge devices, as required by projects/customers. Qualifications: Required: Ability to obtain a Top Secret or Top-Secret SCI clearance Bachelor's degree or equivalent experience in lieu of degree Minimum 3 years of Linux systems administration experience. Expertise in scripting languages such as Bash, Python, and/or Ansible for automation and orchestration of Linux systems. Knowledge of Docker and Kubernetes, including deployment, scaling, and management of containerized applications. Experience with on-prem servers, including hardware selection, deployment, maintenance, and troubleshooting. Networking skills, including knowledge of network protocols, routing, and switching. Desired: Experience managing a GPU-enabled compute cluster. Experience managing a FIPS-enabled Linux environment. Experience with high availability data solutions such as Ceph. Experience with cross-domain/hybrid solutions. Experience with DevSecOps tools such as CI/CD pipelines and logging and monitoring tools. Experience with virtualization, including VMware or KVM. Understanding of AI/ML concepts and the AI/ML development lifecycle. Security+ Certification. Experience working in environments with high regulatory and compliance requirements. Active and current Top Secret or TS-SCI clearance. Experience working with hardware in classified environments. Experience working on proposals. - _________________________________________________________________________ What You Can Expect: A culture of integrity. At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose – to ensure the safety of our nation. An environment of trust. CACI values the unique contributions that every employee brings to our company and our customers - every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality. A focus on continuous growth. Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground — in your career and in our legacy. Your potential is limitless. So is ours. _________________________________________________________________________ Pay Range: There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. The proposed salary range for this position is: $69,600 - 142,700 USD CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

Responsibilities

The engineer will design, deploy, and maintain state-of-the-art Linux-based infrastructure, collaborating with scientists and engineers on AI/ML projects. Responsibilities include implementing components for distributed compute, storage, dataset management, and ensuring system compliance with security requirements.