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Artificial Intelligence Integration Lead

2 months ago

Oklahoma City, Oklahoma, United States InsideHigherEd Full time
Position Overview:

The AI Integrations Manager is tasked with the critical role of supervising the incorporation of artificial intelligence (AI) solutions into the institution's IT framework. This position necessitates collaboration with diverse teams to conceptualize, execute, and oversee AI initiatives that optimize operational processes and foster innovation.

Key Responsibilities:
  • Lead the integration of AI technologies, ensuring they are effectively embedded within existing systems.
  • Collaborate with cross-functional teams to design and implement AI projects that align with institutional objectives.
  • Monitor and manage the progress of AI initiatives, ensuring they meet defined goals and standards.
  • Evaluate the performance of AI systems and recommend enhancements to improve functionality and efficiency.
  • Provide technical guidance and support to team members and stakeholders throughout the project lifecycle.
Qualifications:

Applicants should possess a Bachelor's Degree in Computer Science, Artificial Intelligence, Machine Learning, or a related discipline, along with a minimum of three years of relevant professional experience. An Associate degree combined with five years of experience may be considered as an equivalent qualification.

Essential Skills:
  • In-depth knowledge of AI technologies, machine learning algorithms, and data science.
  • Proficiency in IT systems, including networking, databases, and cloud computing.
  • Strong programming skills in languages such as Python, Java, or C++.
  • Ability to manage multiple projects simultaneously while adhering to timelines and budgets.
  • Excellent communication skills for effective collaboration with technical and non-technical stakeholders.
Work Environment:

This role is performed in an office setting, requiring occasional physical activity, including lifting and moving objects up to 20 pounds. The position involves frequent communication with various stakeholders and the ability to adapt to changing priorities and technologies.

Preferred Experience:

Experience with AI platforms such as TensorFlow, Azure AI, or Google AI within an educational context is highly desirable.

Training Requirements:

Participation in quarterly compliance training as mandated by the institution is required.