Edtech.com's Summary

Harrisburg University of Science and Technology is hiring a Lead Instructional Designer / AI Learning Engineer. This role leads the strategic integration of AI tools across graduate curricula, manages a team of Senior Instructional Designers, and provides faculty training on AI-enhanced pedagogy while serving as an advisor on learning innovation.

Highlights

Lead integration of AI tools such as LLM-based tutoring and adaptive learning pathways into graduate programs.
Manage and coordinate work of three Senior Instructional Designers on curriculum conversion projects.
Develop AI integration frameworks and provide faculty professional development on AI use and ethical considerations.
Establish quality assurance protocols including peer reviews, accessibility audits, and alignment with accreditation standards.
Maintain up-to-date knowledge of learning science, EdTech, and AI advancements to improve instructional design.
Serve as liaison between the Center for Innovation in Teaching and Learning (CITL) and academic leadership.
Required technical skills: Canvas LMS, Microsoft Teams, experience with AI/ML learning tools, backward design, competency-based frameworks.
Qualifications include a Master’s degree in Instructional Design or related field, minimum 5 years instructional design experience, with 2 in higher education.
Preferred qualifications: Doctorate degree, experience with prompt engineering and AI model fine-tuning, knowledge of MSCHE accreditation, and learning analytics platforms.
Salary range: $90,000 to $105,000 annually.

Lead Instructional Designer / AI Learning Full Description

Lead Instructional Designer / AI Learning

Harrisburg, PA, US

Salary Range:

$90,000.00 To $105,000.00 Annually

The Lead Instructional Designer / AI Learning Engineer serves as the senior member of the CITL team and the university’s primary strategist for AI-enhanced pedagogy. This role combines hands-on instructional design leadership with technical fluency to evaluate, implement, and train faculty on AI tools and methodologies that improve learning outcomes.

The Lead coordinates the work of three Senior Instructional Designers, sets quality standards for the curriculum conversion project, and serves as the Provost’s advisor on learning innovation.

Key Responsibilities

Lead the strategic integration of AI tools (LLM-based tutoring, automated formative assessment, adaptive learning pathways, AI-assisted content generation) into graduate curriculum across all four schools.
Develop and maintain an AI integration framework and playbook that enables the three Senior IDs to apply AI-enhanced design patterns within their school clusters.
Coordinate the team’s work on the 7-week session conversion, ensuring consistency in course architecture, learning outcome alignment, and assessment design across programs.
Design and deliver faculty professional development on AI-augmented teaching, prompt engineering for educators, and ethical AI use in academic settings.
Establish quality assurance protocols for course design, including peer review workflows, accessibility audits, and alignment with HU’s accreditation standards.
Stay current on learning science research, emerging EdTech, and AI developments; translate findings into actionable design improvements.
Serve as liaison between CITL and academic leadership (Deans, Associate Provost) on curricular innovation initiatives.

Required Qualifications

Master’s degree in Instructional Design, Learning Sciences, Educational Technology, or a closely related field.
Minimum 5 years of instructional design experience, with at least 2 years in higher education.
Demonstrated experience integrating AI/ML tools into learning design workflows (e.g., GPT-based content tools, adaptive platforms, learning analytics dashboards).
Deep working knowledge of Canvas LMS and familiarity with Microsoft Teams as a synchronous delivery platform.
Experience leading or coordinating a team of instructional designers or learning technologists.
Fluency in backward design (Wiggins & McTighe), competency-based frameworks, and accelerated/compressed course models.

Preferred Qualifications

Doctoral degree (Ph.D. or Ed.D.) in a relevant field.
Experience with prompt engineering, fine-tuning LLMs for educational applications, or building AI-powered learning tools.
Familiarity with MSCHE accreditation standards.
Experience with learning analytics platforms (e.g., Canvas Data, Panopto Analytics) and evidence-based course improvement cycles.

Original Job Description

Lead Instructional Designer / AI Learning

Harrisburg, PA, US

Salary Range:

$90,000.00 To $105,000.00 Annually

The Lead coordinates the work of three Senior Instructional Designers, sets quality standards for the curriculum conversion project, and serves as the Provost’s advisor on learning innovation.

Key Responsibilities

Lead the strategic integration of AI tools (LLM-based tutoring, automated formative assessment, adaptive learning pathways, AI-assisted content generation) into graduate curriculum across all four schools.
Develop and maintain an AI integration framework and playbook that enables the three Senior IDs to apply AI-enhanced design patterns within their school clusters.
Coordinate the team’s work on the 7-week session conversion, ensuring consistency in course architecture, learning outcome alignment, and assessment design across programs.
Design and deliver faculty professional development on AI-augmented teaching, prompt engineering for educators, and ethical AI use in academic settings.
Establish quality assurance protocols for course design, including peer review workflows, accessibility audits, and alignment with HU’s accreditation standards.
Stay current on learning science research, emerging EdTech, and AI developments; translate findings into actionable design improvements.
Serve as liaison between CITL and academic leadership (Deans, Associate Provost) on curricular innovation initiatives.

Required Qualifications

Master’s degree in Instructional Design, Learning Sciences, Educational Technology, or a closely related field.
Minimum 5 years of instructional design experience, with at least 2 years in higher education.
Demonstrated experience integrating AI/ML tools into learning design workflows (e.g., GPT-based content tools, adaptive platforms, learning analytics dashboards).
Deep working knowledge of Canvas LMS and familiarity with Microsoft Teams as a synchronous delivery platform.
Experience leading or coordinating a team of instructional designers or learning technologists.
Fluency in backward design (Wiggins & McTighe), competency-based frameworks, and accelerated/compressed course models.

Preferred Qualifications

Doctoral degree (Ph.D. or Ed.D.) in a relevant field.
Experience with prompt engineering, fine-tuning LLMs for educational applications, or building AI-powered learning tools.
Familiarity with MSCHE accreditation standards.
Experience with learning analytics platforms (e.g., Canvas Data, Panopto Analytics) and evidence-based course improvement cycles.

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Lead Instructional Designer / AI Learning

Edtech.com's Summary

Lead Instructional Designer / AI Learning Full Description

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