Position Description

The AI Solution Architect is a senior technical and strategic consulting role critical to driving AI-powered innovation across Harvard Medical School. Reporting to the Associate Director of Solution Architecture, this position will oversee day-to-day operations of Azure Generative AI environments and is responsible for the design, deployment, and optimization of robust AI solutions that advance the organization’s strategic objectives. The AI Solution Architect will partner with cross-disciplinary teams, offering expert consultation on the full lifecycle of AI projects from ideation to execution. In addition to delivering technical expertise, this role will act as a trusted advisor guiding the strategic direction of AI initiatives to ensure they meet the school’s immediate and long-term needs. As a subject matter expert (SME) in AI, this role requires the ability to translate complex technical challenges into practical, scalable solutions, driving both innovation and compliance in a rapidly evolving AI landscape.

 

Key Responsibilities:
 

Strategic Consulting and Solution Design:

• Provide expert consultation services and act as a senior technical advisor to AI development teams and stakeholders to define project requirements, make recommendations for AI solutions and capabilities, and guide the execution of high-impact AI initiatives. This includes working closely with the Center for Computational Biomedicine and other teams requiring AI integration.
• Lead the design and deployment of both cloud-based and on-premises systems that cater to the expansive needs of AI functionalities within the institution.

 

Technical Research and Development:

• Engage in continuous research to identify and evaluate both commercial and open-source tools, recommending improvements that can augment the institution's AI capabilities.

 

System Management, Tool Development and Scripting:

• Oversee the day-to-day operations of Azure Generative AI environments, ensuring optimal performance, scalability, and security compliance.
• Lead the development of tools and automations that assist with data ingestion, operational self-service features, and extract-transform-load (ETL) pipelines.
• Develop proof-of-concept applications to validate and refine proposed AI solutions.
• Script modular and reusable Terraform and PowerShell modules to streamline common infrastructure deployments and manage system configuration adhering to infrastructure as code (IaC) best practices, including version control, state management, and environment separation.

 

Project Leadership and Stakeholder Interaction:

• Serve as a project lead or SME, overseeing AI development projects and ensuring the alignment of solutions with organizational goals.
• Act as a liaison between technical teams and stakeholders, ensuring that AI solutions comprehensively meet the strategic needs of the organization.

 

Advisory and Compliance Roles:

• Provide expert guidance and technical direction to infrastructure teams including DevOps, Network, and Security to align AI solutions with broader IT infrastructure.
• Ensure compliance with architectural standards, perform code reviews, and maintain adherence to the Harvard University IT technical standards and Code of Conduct.

Basic Qualifications

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

Additional Qualifications and Skills

• Bachelor’s degree in Computer Science or a related field, or equivalent professional experience.
• Extensive experience with Azure cloud computing technologies including networking, security, cognitive, data and containerization services, tailored to the Azure ecosystem.
• Advanced knowledge of Generative AI application design, frameworks and tools.
• Excellent stakeholder management and project planning abilities, coupled with the capacity to effectively communicate complex technical concepts to non-technical audiences.
• 10+ years of experience in software development or leading a technical team
• 5+ years of experience translating requirements into client ready design documents
• 5+ years of full system development life cycle implementations
• 5+ years of experience with application architecture analysis, design, and delivery
• 2+ years of experience building GenAI environments
• 5+ year of experience in implementing cloud-based AI workloads on Azure, AWS and GCP
• Proficient understanding of software development life cycles, CI/CD workflows and IaC concepts, with a strong background in .NET/C#, Python, Terraform, PowerShell and SQL.

Additional Information

The health of our workforce is a priority for Harvard University. With that in mind, we strongly encourage all employees to be up-to-date on CDC-recommended vaccines.
Please note that we are currently conducting a majority of interviews and onboarding remotely and virtually. We appreciate your understanding.
The Harvard Medical School is not able to provide visa sponsorship for this position.
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Commitment to Equity, Diversity, Inclusion, and Belonging

We are committed to cultivating an inclusive workplace culture of faculty, staff, and students with diverse backgrounds, styles, abilities, and motivations. We appreciate and leverage the capabilities, insights, and ideas of all individuals. Harvard Medical School Mission and Community Values   
https://hms.harvard.edu/about-hms/campus-culture/mission-community-values-diversity-statement

EEO Statement

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law.