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Career Placement Advisor (MSAI)

School of Engineering and Applied Science Admin

Career Placement Advisor (MSAI)

  • 558674
  • New York
  • School of Engineering and Applied Science Admin
  • Full Time
  • Opening on: Jul 25 2026
  • Grade 11
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  • Job Type: Officer of Administration
  • Bargaining Unit:
  • Regular/Temporary: Regular
  • End Date if Temporary:
  • Hours Per Week:
  • Standard Work Schedule:
  • Building: Morningside
  • Salary Range: $74,000 - $80,000
The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.
 

Position Summary

The Career Placement Advisor’s primary responsibility is to place all of the students enrolled in the MSAI program in full-time positions and internships. The Career Placement advisor will broaden and deepen relationships with current and prospective employers, as well as develop and support events, initiatives, and strategies to achieve the goal. The two primary performance metrics for this position are the number of MS students placed and the number of new employer relationships cultivated annually. Additional responsibilities include collecting/analyzing employment data, including maintaining a database of alumni, generating placement and related reports for the program/School, assisting with the placement and professional development of related students, supporting admissions and other student affairs needs as they intersect with professional development and career placement, and other projects as requested. In the area of placement and employer cultivation, the Advisor works in coordination with the Director of Industry & Employer Relations and a collaborative team across multiple programs and departments.


Responsibilities

(70%)

Place MS students studying in the Master of Science in Artificial Intelligence (MSAI) program in full-time positions and/or internships. To achieve this goal, the advisor may engage in the following activities:

  • Source, cultivate, and maintain relationships with employers to encourage the hiring of students in artificial intelligence and related disciplines, in coordination with the Director of Industry & Employer Relations.
  • Plan, manage, and execute career placement strategies.
  • Liaise between the MSAI program, the Columbia Engineering Graduate Career Placement Team, the Professional Development & Leadership (PDL) Team, and other CPOs regarding career placement.
  • Post/advertise employment opportunities (full-time, internships, and part-time).
  • Counsel students individually and in groups to achieve career readiness and to become familiar with as many students as possible.
  • Generate ad-hoc reports of student placement and related employment statistics.
  • Collaborate with the Graduate Career Placement Team and Professional Development & Leadership Team on multi-disciplinary employers, cross-departmental events, education, and School-level efforts tailored to the needs of MSAI students.

(25%)

  • Manage and develop employer, alumni, and student events and initiatives for MSAI students.
  • Improve programming, events, and initiatives by collecting/analyzing accurate placement statistics and event participation, and generating reports for admissions, recruiting, etc.
  • Assist with the placement and professional development of doctoral and other students whose career interests align with artificial intelligence.
  • Contribute to and support the other functional areas of the MSAI program, including student affairs, admissions, and related areas.
  • Support the sourcing of employers and projects in AI and AI-engaged fields. Help with managing the pipeline of industry partners and the capstone course.

(5%)

Performs related duties and responsibilities as assigned/requested.


Minimum Qualifications

A bachelor’s degree is required; graduate-level work is preferred.

Minimum of 2-4 years of related experience required.

Familiar with jobs and employers for artificial intelligence and machine learning professionals in areas such as software development, machine learning, natural language processing, computer vision, data science, analytics, consulting, and the broader technology job market, with previous experience in career counseling, marketing, workshop planning, or administration.

Understand the career development opportunities and challenges affecting constituents, including a diverse population, both domestic and international.

Strong computer literacy/proficiency required: an understanding and appreciation of student services database software and online resources, and the willingness and enthusiasm to respond to students' needs in an increasingly technologically oriented society.

Proficiency with Google suite of products, MS Office—Excel (Pivot Tables, VLookup essential), PowerPoint, publishing software, social media, etc. Ability to analyze and work with a large volume of student, employer, and related data.

Must be willing to work on occasional evenings and weekends, on an as-needed basis.

Possess excellent interpersonal and administrative skills. Ability to work independently and under pressure, with a high level of attention to detail.

Candidate must exercise good judgment and flexibility. Must be able to prioritize multiple tasks with minimal supervision.

Must be able to communicate effectively and tactfully with staff, faculty, students, employers, and alumni in small and large group settings.

Student-centric, positive, mission-oriented, forward-thinking attitude and a sense of humor are a must.

 

Equal Opportunity Employer / Disability / Veteran

Columbia University is committed to the hiring of qualified local residents.

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