AI Solutions Architect

Harvard University • Cambridge, MA

3d • Hybrid

About The Position

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.

Requirements

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

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.

Benefits

• Generous paid time off including parental leave
• Medical, dental, and vision health insurance coverage starting on day one
• Retirement plans with university contributions
• Wellbeing and mental health resources
• Support for families and caregivers
• Professional development opportunities including tuition assistance and reimbursement
• Commuter benefits, discounts and campus perks

What This Job Offers

• Job Type: Full-time
• Career Level: Senior