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Harvard University

Ivy League university in Cambridge, MA

AI Solutions Architect

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeCambridge, MA, USANo salary listed

About the Job

Requirements

  • At least seven years of post-secondary education or relevant work experience.
  • A bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent experience is strongly preferred.
  • Five or more years of experience in software development or solutions architecture is strongly preferred.
  • Two or more years of hands-on experience with AI/ML platforms, large language models, or applied AI tooling is strongly preferred.
  • Proficiency with AI/ML frameworks and APIs, including large language model integration, retrieval and grounding, prompt design, and evaluation, is strongly preferred.
  • Experience rapidly prototyping through specification-driven development and agentic coding tools is strongly preferred.
  • Systems thinking focused on privacy, integration, and maintainability is strongly preferred.
  • Strong analytical reasoning and systems thinking are strongly preferred.
  • The ability to synthesize complex technical information for technical and executive audiences is strongly preferred.

Responsibilities

  • Engage faculty, researchers, and staff across FAS to identify and frame AI opportunities and define intended outcomes.
  • Lead requirements and tool selection, and design solutions according to established patterns and University data, security, and privacy policies.
  • Scope problem statements and lead rapid prototyping using AI platforms, APIs, and low-code/no-code tools, partnering with the Engineer to put working software in front of stakeholders early.
  • Assess sustainability, including cost, security, maintenance, and service-owner capacity, and define readiness and acceptance criteria.
  • Own relationships with security, privacy, accessibility, data-governance, and research-computing stakeholders, and secure approvals to transition prototypes into supported services.
  • Communicate across technical fluency levels and lead stakeholder alignment throughout delivery.
  • Document architectures, decisions, and trade-offs so others can maintain and extend the work.
  • Track the evolving AI landscape and lead evidence-based recommendations on readiness, capability, risk, cost, and fit.
  • Contribute hands-on to implementation, testing, demonstrations, and production transition, while the Engineer leads detailed engineering and operations.
  • Partner with HUIT's AI Innovation team to evaluate emerging capabilities and lead user-value prototyping.

Desired Qualifications

  • Strong communication across technical and non-technical audiences is strongly preferred.

About the Company

Harvard University

Ivy League university in Cambridge, MA

Harvard University is a private research university in Cambridge, Massachusetts, founded in 1636 and the oldest institution of higher learning in the United States. It comprises Harvard College and multiple graduate and professional schools.

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