Job Description
Job Title: Artificial Intelligence Engineer
Reports To: Executive Director, AI Center of Excellence (AICE)
Institution Overview:
Capitol Technology University, a nonprofit institution in Laurel, Maryland, is dedicated to
STEM-focused education and career-ready, practical learning experiences. Capitol provides
unique commitments to its undergraduate students, including a salary guarantee and the Chargers
Assistance Program, which aids graduates with loan repayment if full-time employment is not
secured within 90 days. The university serves a large and growing population of remote
learnings in Master’s and doctoral degrees The university's progressive approach to higher
education prepares students to meet real-world industry demands.
Capitol Artificial Intelligence Learning and Innovation Environment (CAILIE) Overview:
Capitol Tech University has invested over $1.3M in GPU infrastructure, including (24) Nvidia
H200 GPUs, 400Gbps RoCE networking, and 200TB of NVMe storage. The lab infrastructure
will be based on open-source technologies including Linux and Kubernetes. We are looking for
passionate infrastructure and AI engineers to help build-out our lab with new capabilities that
allow our researchers and students to train, evaluate, and integrate complex workflow agents into
different projects across the university.
Position Summary:
The Artificial Intelligence Engineer is responsible for the architecture, design, and overall
strategic direction of the Capitol Artificial Intelligence Learning and Innovation Environment
(CAILIE). This role involves overseeing the technical setup and ongoing management of
advanced AI infrastructure, ensuring that the lab meets the research and educational needs of the
university's students, faculty, and industry partners.
Key Responsibilities:
• Lead the design and implementation of the CAILIE’s technical architecture, including
hardware, software, and networking components.
• Collaborate with faculty, students, and industry partners to identify and meet the lab’s
evolving technical requirements.
• Develop and maintain a strategic roadmap for the CAILIE, aligning with the university’s
long-term goals in AI research and education.
• Coordinate with internal and external stakeholders to integrate new technologies and
tools that enhance the lab's capabilities.
• Ensure the security, reliability, and scalability of AI systems and infrastructure within the
lab.
• Supervise and mentor junior technical staff, providing guidance and expertise on complex
technical challenges.
• Manage the budget and procurement processes for the lab's technical resources.
Qualifications:
• Bachelor’s degree in Computer Science, Information Technology, or a related field; a
Master’s degree is preferred.
• High proficiency in Linux operating system (Debian-based distros) and Kubernetes.
• 7+ years of experience in IT infrastructure design and management, with a focus on AI,
high-performance computing, or cloud-based environments
• Proven experience in leading technical projects from concept to completion.
• Strong knowledge of AI frameworks, GPU computing, and data center operations.
• Excellent leadership, communication, and project management skills.
Salary Range:
Based on current market rates, the salary for this position typically ranges from $110,000 to
$130,000 annually, depending on experience and qualifications.