Edtech.com's Summary

Harvard University is hiring an AI Solutions Architect to connect the FAS community with fast-moving AI capabilities. The architect leads opportunity discovery, problem definition, and stakeholder alignment, then shapes the overall solution design. Working as a pair with an AI Solutions Engineer, the architect contributes hands-on from prototype through product delivery while the engineer owns detailed engineering, deployment, and operations.

Highlights

Engage faculty, researchers, and staff across FAS to identify AI opportunities and define the outcomes they want.
Lead requirements gathering and tool selection, designing solutions that follow established patterns and University data, security, and privacy policy.
Scope problem statements and lead rapid prototyping with AI platforms, APIs, and low-code or no-code tools so stakeholders see working software early.
Assess the sustainability of each solution, including cost, security, maintenance, and service-owner capacity, and define readiness and acceptance criteria.
Own the governance relationship across security, privacy, accessibility, data governance, and research computing to win approvals that turn prototypes into supported services.
Document architectures, decisions, and trade-offs, and track the evolving AI landscape to make evidence-based recommendations on readiness, risk, cost, and fit.
Partner with the HUIT AI Innovation team to evaluate emerging capabilities and prototype ideas around user value.
Requires seven years of post-secondary education or relevant work experience, with 5+ years in software development or solutions architecture strongly preferred.
Strongly prefer 2+ years of hands-on work with AI/ML platforms and LLMs, including LLM integration, retrieval and grounding, prompt design, and evaluation.
Work a hybrid schedule with occasional on-campus presence to support production systems and collaborate with HUIT and FAS teams.

AI Solutions Architect Full Description

Job Details

Full-time

Work Format: Hybrid

Harvard Job Function: Information Technology

Union: 00 - Non Union, Exempt or Temporary

Salary Grade: 059

Department: Harvard University Information Technology

FLSA Status: Exempt

Job Description

The AI Solutions Architect serves as a critical link between the FAS community and the rapidly evolving landscape of AI capabilities. The Architect leads opportunity discovery, problem definition, stakeholder alignment, and overall solution architecture. Working as a paired team, both the Architect and AI Solutions Engineer contribute hands-on from prototype through product delivery. The Architect contributes to implementation, testing, demonstrations, and production transition; the Engineer holds primary responsibility for detailed engineering, deployment, reliability, and operational readiness. The Architect ensures a clear path to secure, sustainable support.

Job-specific 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 per established patterns and University data, security, and privacy policy.
Scope problem statements and lead rapid prototyping (AI platforms, APIs, low-code/no-code), partnering with the Engineer to put working software in front of stakeholders early.
Assess sustainability - including cost, security, maintenance, service-owner capacity - and define readiness and acceptance criteria.
Own the governance relationship (security, privacy, accessibility, data-governance, research computing) and secure the approvals that turn prototypes into supported services.
Communicate across all levels of technical fluency 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, demos, and production transition, with the Engineer primary on detailed engineering and operations.
Partner with HUIT’s AI Innovation team to evaluate emerging capabilities and lead user-value prototyping.

Qualifications

Basic Qualifications:

Basic Qualifications are the minimum threshold a candidate must meet in order to be considered for this role.

Minimum of seven years’ post-secondary education or relevant work experience

Additional Qualifications and Skills:

The following qualifications are strongly preferred. If you meet some, but not all, you are still encouraged to apply; we value employees with a willingness to learn.

5+ years of experience in software development or solutions architecture
2+ years of hands-on experience with AI/ML platforms, LLMs, or applied AI tooling
Proficiency with AI/ML frameworks and APIs, including LLM integration, retrieval/grounding, prompt design, and evaluation
Experience rapidly prototyping through spec-driven development and agentic coding tools
Strong communication across technical and non-technical audiences
Systems thinking focused on privacy, integration, and maintainability
Strong analytical reasoning and systems thinking
Excellent writing and communication skills, including synthesizing complex, technical information for both technical and executive audiences
Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent experience

Additional Information

Hybrid: This position operates in a standard hybrid office/remote environment. Occasional on-campus presence may be required to support production systems and collaborate with HUIT and FAS teams.

Visa Sponsorship Information: Harvard University is unable to provide visa sponsorship for this position

Pre-Employment Screening: Identity

Other Information: Please provide a cover letter and resume as one document with your application. This position has an 180-day orientation and review period.

Work Format Details

This position has been determined by school or unit leaders that some of the duties and responsibilities can be effectively performed at a non-Harvard location. The work schedule and location will be set by the department at its discretion and based upon operational needs. When not working at a Harvard or Harvard-designated location, employees in hybrid positions must work in a Harvard registered state in compliance with the University’s Policy on Employment Outside of Massachusetts. Additional details will be discussed during the interview process. Certain visa types and funding sources may limit work location. Individuals must meet work location sponsorship requirements prior to employment.

Salary Grade and Ranges

This position is salary grade level 059.

EEO/Non-Discrimination Commitment Statement

Harvard University is committed to equal opportunity and non-discrimination. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard's academic purposes.

Harvard has an equal employment opportunity policy that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university's non-discrimination policy. Harvard's equal employment opportunity policy and non-discrimination policy help all community members participate fully in work and campus life free from harassment and discrimination.

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