Montgomery College accepts applications for Adjunct/Part-time
Faculty on a continuous basis. Applications may be reviewed
periodically based on the student enrollment needs. The listing of
a course in the schedule of classes as “TBA” does not constitute an
assignment. The hiring decision for part-time faculty involves an
academic judgment and shall be determined at Management’s sole
discretion.
Job Description
Montgomery College Workforce Development & Continuing Education
(WDCE) is currently accepting applications for a part-time faculty
opening to teach an AWS Certified AI Practitioner course. We are
seeking an enthusiastic, dedicated teacher who demonstrates a high
degree of professionalism, a strong commitment to our students, and
the ability to motivate and educate in an engaging manner.
***Montgomery College accepts applications for Adjunct/Part-time
Faculty on a continuous basis . Applications may be reviewed
periodically based on student enrollment needs. ***
- The listing of a course in the schedule of classes as “TBA”
does not constitute an assignment.
The hiring decision for part-time faculty involves an academic
judgment and shall be determined at Management’s sole
discretion.
Duties and Responsibilities:
- Deliver hands-on, skills-based instruction aligned with the AWS
Certified AI Practitioner certification exam, course objectives,
and current industry standards.
- Teach adult students on foundational concepts and practical
applications of artificial intelligence and machine learning within
the AWS ecosystem, including generative AI, foundation models,
responsible AI, and common AWS AI services.
- Prepare students to understand and apply AWS technologies and
services relevant to AI solutions, with an emphasis on real-world
business and workplace applications.
- Incorporate hands-on activities, demonstrations, labs, and
real-world scenarios to help students develop practical AI skills
and prepare for the AWS Certified AI Practitioner examination.
- Support adult learners with diverse technical experience by
presenting complex AI concepts clearly, accessibly, and
practically.
- Stay current with developments in AWS AI services, generative
AI technologies, and industry practices to ensure course content
remains relevant and up to date.
- Facilitate courses in-person and/or remotely during weekday
evenings or Saturdays.
- Collaborate with program staff and faculty on curriculum
development and updates.
- Maintain accurate attendance records and submit administrative
tasks promptly.
- Provide students with effective support, communication, and
timely feedback.
Required Qualifications:
- Current AWS Certified AI Practitioner certification or
equivalent expertise in AWS artificial intelligence and generative
AI technologies.
- Professional experience working with AWS cloud services, with
demonstrated knowledge of AWS AI and machine learning
services.
- Hands-on experience with generative AI, including foundation
models, large language models (LLMs), and AI applications.
- Practical experience using generative AI tools and platforms,
preferably including Amazon Bedrock and other AWS services.
- Strong communication skills and a passion for teaching adult
learners.
- Able to teach in person.
- Dependable, punctual, and committed to student success.
- Successful candidates will have a demonstrated commitment to
promoting belonging, inclusion, and multicultural competence in an
educational and work environment and must be willing to contribute
to the College’s strategic plan of inclusion.
- Faculty members are expected to have access to a personal
computer with virus protection that can connect to the internet
outside of the work location (i.e., office, classroom, college
campus)*. Montgomery College (MC) provides an MC e-mail account and
access to the learning platform, password-protected faculty
sections of the website, college listservs, and other faculty
communications tools. *If you do not have access to a personal
computer, please notify the department chair at the time of the
interview. Subject to available funds, the college may be able to
provide temporary access to resources.
- Must be eligible to work in the United States without a
sponsor.
Preferred Qualifications:
- AWS Certified Solutions Architect, AWS Certified Machine
Learning Engineer, or another relevant AWS certification.
- Experience with Amazon Bedrock, Amazon SageMaker, Amazon Q, AWS
Lambda, and related AWS AI services.
- Experience teaching or training adult learners in higher
education, workforce development, professional development, or
corporate training.
- A bachelor’s degree or higher in computer science, information
technology, data science, artificial intelligence, or a related
field.
- Experience delivering instruction in hybrid, in-person, and
online modalities.
- Familiarity with Learning Management Systems (e.g.,
Blackboard).
For degrees earned outside of the U.S., a copy of your education
equivalency, conducted by a nationally recognized evaluation
service, must be included in your application.
Employees must live in Maryland or a state where the College has
payroll reciprocity (DC, VA, PA, WV, DE, MA).
As a condition of employment, the following are required at the
time of hire:
- Successful completion of a background check and degree
verification (if applicable).
If a reasonable accommodation is needed to participate in the
job application or interview process, please contact Human
Resources and Strategic Talent Management at 240-567-5353 or
HRSTM@montgomerycollege.edu . We require at least two
weeks advance notice to enable us to provide the requested
accommodation.
Montgomery College is an equal opportunity employer committed to
promoting and fostering diversity among its student body, faculty,
and staff.
Montgomery College is a tobacco-free and smoke-free
workplace.
Closing DateThursday, December 24, 2026
