Tufts University

Tufts University

​​AI Platform Manager​

Massachusetts, United States · Mid

Sponsorship not specifiedDetected 16 days ago
Cloud PlatformsMachine LearningLLMsCybersecurityAccessibilityProcurementResearchLeadershipCommunicationCollaborationProblem Solving

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odds of building a lasting career here

88Lottery-free
Cap-exempt (no lottery)100
Sponsors year-round90
Entry-level history60
PERM / green-card track50
Fits your clock70

Files H-1B any time — no cap, no lottery. The 2026 weighted-selection rule doesn't touch it, which makes this the strongest structural path for entry-level talent. Pay is often lower, but your odds of staying are dramatically higher.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 11 green-card filings in this occupation, 100% were for a worker who already held the job.

States it is exempt from the H-1B cap

In 7 Department of Labor filings, this employer states it is an institution of higher education — one of the statutory grounds for exemption from the H-1B cap. Cap-exempt employers can file year-round without entering the lottery.Employer's own attestation on a Department of Labor wage determination, not a USCIS determination — exemption is decided per petition.

Green-card follow-through: 83%

Of 6 labor certifications old enough to have been used, 1 expired without the employer filing the next step. Median time from filing to decision: 491 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

7 transfer filings in the last year, covering 7 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

Community outcomes

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About the role

  • ​​Tufts Technology Services (TTS) is Tufts' trusted leader in technology partnership, support, and enablement, delivering solutions in service of the university's mission. TTS works closely with school and central division partners to meet the technology needs of the Tufts community across our three campuses and throughout our global networks. Our holistic
  • understanding of the Tufts landscape, our dedicated multidisciplinary team, and our IT Service Desk position TTS to provide practical solutions to current challenges and creative, sustainable new approaches as technologies and university priorities evolve.

Responsibilities

  • The position manages platform configuration, access, model availability, usage, costs, integrations, and vendor relationships while ensuring alignment with institutional requirements for security, privacy, accessibility, legal compliance, and responsible AI use.
  • Working closely with technical teams and University stakeholders, the AI Platform Manager provides strategic leadership in shaping and advancing the University's AI ecosystem, translating emerging capabilities into secure, reliable, accessible, and well-governed services that support institutional priorities across teaching, research, administration, and innovation.
  • Develop, maintain, and operationalize platform policies, standards, procedures, and user guidance in collaboration with the AI Tools Working Group and other University stakeholders.
  • Develop and administer criteria for API access, external integrations, agent sharing, advanced coding tools, and connections to institutional systems or data.
  • Manage platform configuration, institutional settings, users, groups, permissions, roles, model availability, storage allocations, and feature enablement.

Requirements

  • Knowledge and experience typically acquired by:
  • 3-5 years of experience administering and managing enterprise technology platforms, cloud-based services, software-as-a-service applications, or other complex digital services.
  • Experience managing users, permissions, system configuration, service requests, vendor escalations, and operational documentation.
  • Experience coordinating work across technical and nontechnical stakeholder groups.
  • Strong written and verbal communication skills, including the ability to explain technical concepts, policies, risks, and service requirements to nontechnical audiences.
  • We bring together technology expertise across academic, clinical, infrastructure, operations, research, and student domains, applying our knowledge of digital transformation and effective user experiences.

Nice to have

  • Minimum $108,200.00, Midpoint $135,300.00, Maximum $162,400.00
  • generally, new hires can expect pay between the minimum and midpoint of the range.

Compensation

  • Minimum $108,200.00, Midpoint $135,300.00, Maximum $162,400.00
  • Salary is based on related experience, expertise, and internal equity
  • generally, new hires can expect pay between the minimum and midpoint of the range.

Company info

  • ​We are a community of problem-solvers, innovators, and stewards of trust who take pride in building technology foundations that are reliable, secure, and designed for the future.

Visa & Work Authorization

  • Oversee token usage, sponsor accounts, user credits, budgets, storage limits, and departmental chargeback processes
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This listing is sourced directly from Tufts University's careers page and normalized into a canonical job model.