AI Engineer

University of Maryland • College Park, MD

1d • Hybrid

About The Position

This position is available within the University of Maryland’s Division of Information Technology (DIT). As an AI Engineer, you will join the forefront of technological innovation, working with a talented group of engineers to develop scalable AI frameworks and solutions from conceptual ideation to production-grade applications. The role demands a highly skilled developer experienced in using Jira for task and milestone management, with a proven ability to deliver project updates on schedule. This hands-on position requires strong data management abilities, an understanding of Machine Learning and AI Principles, and hands-on experience with Azure cloud technologies. You will operate in a DevOps environment to automate, test, monitor, and push releases across cloud environments. This role is part of a visionary team dedicated to enhancing the University of Maryland's educational and operational excellence through technological innovation, supporting the University’s research, teaching, and services mission. This position is considered essential and may require work at the normal or an alternative location during emergencies to maintain continuity of University services.

Requirements

• Bachelor’s degree from an accredited college or university
• Three (3) years of professional information technology experience
• Knowledge of network infrastructure
• Skill in troubleshooting
• Skill in verbal and written communication
• Skill in organization and documentation
• Strong verbal and written communication skills
• Ability to be customer service orientated
• Ability to analyze and resolve complex technical issues
• Ability to work independently and as part of a team
• Highly skilled developer experienced in using Jira for task and milestone management
• Strong data management abilities
• Understanding of Machine Learning and AI Principles
• Hands-on experience with Azure cloud technologies

Nice To Haves

• Experience supporting production Generative AI or AI-enabled solutions in an enterprise cloud environment
• Experience with Azure operations, including support, maintenance, monitoring, troubleshooting, and administration of cloud-hosted services
• Experience managing operational workloads involving queues, asynchronous processing, integrations, and system reliability
• Experience supporting COTS, SaaS, or vendor-supported platforms, including upgrades, issue resolution, and coordination with external partners
• Experience supporting RAG-based solutions, including knowledge base administration, document ingestion, indexing, and vector data stores
• Experience developing scripts and automation to support deployments, system maintenance, operational workflows, and service reliability
• Experience with CI/CD pipelines, infrastructure as code, automated testing, and release support for enterprise cloud applications
• Experience creating runbooks, knowledge documentation, and support procedures for technical operations and service sustainment
• Experience with monitoring, logging, alerting, and incident response practices for cloud and AI-enabled systems
• Experience working in a collaborative DevOps, SRE, or cloud operations environment supporting both technical and non-technical stakeholders

Responsibilities

• Develop scalable AI frameworks and solutions that are robust and uphold the highest standards of quality and innovation
• Deliver project updates on schedule
• Operate in a DevOps environment to automate, test, monitor, and push releases across cloud environments

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 1,001-5,000 employees