Senior AI Support Engineer

University of Colorado•Colorado Springs, CO

23d•$120,000 - $160,000•Hybrid

About The Position

Does building intelligent AI agents excite you? Are you passionate about helping others transform business processes through AI-powered automation? Do you enjoy solving complex technical challenges, integrating systems, and developing innovative solutions that create measurable impact? Are you someone who can balance technical expertise with exceptional customer service and collaboration? If so, the AI Support Engineer role may be the perfect fit for you! Our work helps faculty, staff, students, researchers, and administrative teams achieve better outcomes through the responsible use of AI technologies. As part of the AI and Research Computing team, you will play a critical role in designing, developing, supporting, and optimizing AI agents, workflows, and integrations that enhance productivity, improve service delivery, and accelerate innovation across the University.

Requirements

A bachelor’s degree in computer science, management/computer information systems, computer engineering, information technology, or a directly related field from an accredited institution.
A combination of education and related technical/military/paraprofessional experience may be substituted for the bachelor’s degree on a year-for-year basis.
2-4 years of professional-level experience designing, building, deploying AI agents and automated workflows that solve real business problems.
Experience with python, REST APIs, JSON, OAuth, and SQL for application development, data integration, and automation.
Experience integrating AI agents with enterprise systems using LLM APIs, tool/function calling, MCP, or similar agent connectivity frameworks.
Knowledge of enterprise AI platforms, agent development environments, generative AI, large language models (LLMs), retrieval-augmented generation (RAG), prompt engineering, and Model Context Protocol (MCP).
Knowledge of Microsoft 365, cloud technologies, identity management, software development lifecycle principles, and enterprise application architecture.
Skill in AI agent development, workflow automation, solution design, and business process optimization.
Skill in developing integrations using REST APIs, JSON, HTTP, OAuth, enterprise connectors, web services, and related technologies.
Skill in Python development, API consumption, technical troubleshooting, debugging, root cause analysis, and performance optimization.
Skill in designing, deploying, and supporting AI-enabled solutions that meet business, operational, and technical requirements.
Skill in developing technical documentation, knowledge resources, implementation guides, and training materials.
Strong communication, customer service, collaboration, stakeholder engagement, and relationship management skills.
Ability to translate business requirements into scalable AI-enabled solutions and workflows.
Ability to independently manage competing priorities, solve complex technical problems, and identify opportunities for automation and innovation.
Ability to evaluate security, privacy, compliance, and data governance considerations when designing and implementing AI solutions.
Demonstrated commitment to innovation, continuous learning, accountability, collaboration, critical thinking, technical curiosity, and service excellence.
Applicants must be legally authorized to work in the United States without requiring sponsorship. We are unable to provide work visa sponsorship and employment authorization for this position now or in the future.

Nice To Haves

Experience developing AI agents using Microsoft Copilot Studio, Azure AI, OpenAI, Gemini, Claude, or similar technologies.
Experience with Power Automate, Logic Apps, Boomi, TeamDynamix, or similar workflow automation platforms.
Experience developing integrations using REST APIs, JSON, OAuth, web services, connectors, and enterprise application platforms.
Experience with Python, Git/GitHub, SQL, AI development frameworks, and cloud-based development environments.
Experience working in higher education, healthcare, research, or other regulated environments.

Responsibilities

Designing, configuring, and supporting AI agents using approved enterprise AI platforms.
Assisting departments with identifying use cases and translating business requirements into agent-based solutions.
Providing front-line and advanced support for AI agents, automations, and integrations.
Monitoring agent performance, troubleshooting issues, and optimizing solutions for reliability and effectiveness.
Supporting users with onboarding, adoption, best practices, and agent lifecycle management.
Developing and maintaining AI agents, copilots, and conversational experiences using enterprise AI platforms.
Building and supporting integrations between AI platforms and campus systems, applications, databases, and knowledge repositories.
Designing and maintaining workflows that leverage AI to automate business processes and improve operational efficiency.
Troubleshooting technical issues related to AI agents, APIs, integrations, authentication, data access, and workflow execution.
Developing and maintaining standard operating procedures, knowledge base articles, technical documentation, and implementation guides.
Evaluating new AI capabilities, platforms, and development frameworks to provide recommendations on future enhancements.
Supporting AI platform administration, permissions, access controls, and agent deployment processes.
Assisting with AI governance and exception review processes to ensure solutions align with institutional standards and policies.
Partnering with Information Security, Compliance, Legal, and Privacy teams to assess risks associated with AI agents, automations, and integrations.
Collaborating with business stakeholders to gather requirements, prioritize enhancements, and deliver scalable AI solutions.
Participating in vendor engagements and platform roadmap discussions related to AI agent technologies.
Delivering training, workshops, office hours, and user enablement activities that increase AI literacy and successful adoption.
Helping evaluate the security, compliance, operational, and data governance impacts of AI-powered solutions.
Identifying opportunities to automate support processes and improve user experiences through AI agents and workflow automation.