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Position Summary
The AI Integration Specialist serves as a technical and operational resource responsible for configuring, integrating, and supporting artificial intelligence tools across institutional systems and workflows. The role bridges the gap between technical development and real-world implementation, ensuring AI systems are deployed ethically, accurately, and effectively.
This position supports end-user training, prompt engineering, workflow testing, system troubleshooting, and continuous monitoring of AI outputs for quality, risk, and bias. The Specialist also contributes to documentation, compliance reporting, and industry-specific AI projects that enhance institutional efficiency, student success, and responsible technology adoption.
Essential Job Duties
AI Tool Setup & Configuration- Install, configure, and integrate AI platforms and enterprise tools.
- Conduct vendor evaluations, build-vs-buy analyses, and ROI justification.
- Apply governance, privacy, and responsible data controls.
- Design integrations with awareness of context windows, model reliability limits, and workflow constraints.
- Operationalize legal, ethical, and policy requirements related to AI usage.
- Conduct bias and risk assessments at prompt, data, and evaluation levels.
- Implement incident response, escalation, and rollback procedures for AI systems.
- Provide user support across AI interfaces including chat, dashboards, and voice-based tools.
- Design and deliver role-specific training on AI literacy, prompting, and workflow adoption.
- Support change-management and readiness activities for new AI tools.
- Use structured prompting techniques (role, context, constraints, refinement).
- Develop advanced prompts including system prompts, multi-component sequences, RAG workflows, and multimodal inputs.
- Build formal test suites to evaluate accuracy, consistency, edge cases, and fallback behavior.
- Simulate real-world workflows using AI tools and evaluate alignment with institutional objectives.
- Review AI outputs for quality, correctness, risk, and bias.
- Use dashboards, KPIs, and monitoring tools to track AI performance.
- Run continuous improvement cycles using data and user feedback.
- Document and implement corrective actions, including prompt adjustments and escalation of major issues.
- Identify, diagnose, and resolve user-facing issues in AI platforms.
- Diagnose prompt, model, and system-level issues.
- Perform structured root-cause analysis and reliability operations.
- Maintain fix playbooks and verify post-patch behavior.
- Collaborate with IT, engineering, or vendor support teams to escalate unresolved issues.
Documentation, Reporting & Compliance- Produce audit logs, governance artifacts, and compliance reports.
- Develop vendor evaluation rubrics, bias/accuracy reports, and risk registers.
- Prepare stakeholder-ready documentation, presentations, and performance summaries.
- Maintain ethical compliance checklists and reporting related to AI deployment.
- Apply AI tools to industry-specific workflows and regulatory environments.
- Define sector-specific metrics and evaluation rubrics.
- Participate in AI implementation projects across domains such as education, healthcare, legal, retail, or public services.
- Adapt AI tools to meet unique requirements such as FERPA, HIPAA, or accessibility standards.
- Stay current on emerging AI technologies, automation tools, and integration best practices.
- Perform other duties as assigned.
Required Knowledge, Skills & Abilities- Bachelor’s degree in a related field with experience in AI systems, workflow automation, information systems, or technical support.
- Foundational understanding of AI concepts, prompt engineering, and generative AI tools.
- Ability to troubleshoot AI systems, workflows, and user-facing issues.
- Ability to apply responsible AI practices, including bias detection and risk mitigation.
- Strong analytical skills with the ability to evaluate AI outputs and system behavior.
- Ability to communicate technical concepts clearly to diverse audiences.
- Strong organizational skills and ability to manage multiple priorities.
- Ability to maintain confidentiality and apply responsible data governance.
Preferred Knowledge Skills & Abilities- Experience with scripting or programming languages such as Python, SQL, JavaScript, or PowerShell.
- Familiarity with cloud platforms and integrations (Azure, AWS, APIs).
- Experience designing or supporting automated workflows and business process improvements.
- Understanding of advanced AI concepts including RAG, multimodal prompting, and model evaluation.
- Experience supporting AI implementation projects, user adoption, and governance.
- Knowledge of institutional systems such as SIS, LMS, CRM, or enterprise platforms.
- General understanding of IT infrastructure, networking, identity, and access management.
Information Technology Abilities- Proficiency in Windows-based computing environments.
- Ability to operate within institutional network systems.
- Proficiency with Microsoft Office 365 (Word, Excel, PowerPoint, Outlook, Teams).
- Experience with dashboards, workflow tools, AI interfaces, and reporting software.
- None.
Working Environment- Work is typically performed indoors in a standard office or campus environment with minimal exposure to adverse conditions. Occasional evening or weekend hours may be required to support implementations, testing, training, or incident response. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
Physical- The position is primarily sedentary but requires occasional movement across campus, light lifting, and use of standard office equipment. Duties include extended computer use and communication via various methods. The role may also require participation in meetings, training sessions, and system support activities across multiple locations or platforms.
Creative and Analytical Skills- Ability to define problems, analyze AI behavior, and draw valid conclusions.
- Ability to develop or modify AI workflows to improve efficiency and effectiveness.
- Ability to evaluate AI outputs, detect patterns, assess risk, and recommend improvements.
Language/Communication Skills- Ability to communicate effectively with students, staff, and the public in written and verbal formats.
- Ability to understand and apply technical documentation and manuals.
- Ability to prepare reports, training materials, and stakeholder-ready presentations related to AI initiatives.
***CROWDER COLLEGE RESERVES THE RIGHT TO MODIFY, INTERPRET, OR APPLY THIS POSITION DESCRIPTION IN ANY WAY THE INSTITUTION DESIRES. THIS POSITION DESCRIPTION IN NO WAY IMPLIES THAT THESE ARE THE ONLY DUTIES, INCLUDING ESSENTIAL JOB DUTIES, TO BE PERFORMED BY THE EMPLOYEE OCCUPYING THIS POSITION. THIS POSITION DESCRIPTION IS NOT AN EMPLOYMENT CONTRACT, IMPLIED OR OTHERWISE. THE EMPLOYMENT RELATIONSHIP REMAINS “AT-WILL.” THE AFOREMENTIONED POSITION REQUIREMENTS ARE SUBJECT TO CHANGE TO REASONABLY ACCOMMODATE QUALIFIED INDIVIDUALS WITH A DISABILITY.
