The Solutions Architect is a senior technical role that operates under the guidance of the Associate Director of Solution Architecture. This position demands a high level of expertise and involvement in the development and support of AI-driven projects across the institution. The role requires active collaboration with both AI development teams and IT infrastructure groups to deliver robust AI solutions that are essential for the organization's strategic objectives.
Key Responsibilities:
Strategic Collaboration and Support:
Partner with AI development teams to clearly understand project requirements and provide the necessary technical support. This includes working closely with the Center for Computational Biomedicine and other teams requiring AI integration.
Assist in 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 that can augment the institution's AI capabilities.
Architect and maintain secure data pipelines to facilitate efficient data access and processing for AI teams.
Educational Initiatives and Community Engagement:
Develop and conduct training programs and "how-to" documentation to help developers effectively utilize AI tools.
Establish and manage Communities of Practice to foster knowledge sharing and innovation among AI users: one for developers engaged in AI application development and another for office or knowledge workers optimizing their workflows through AI.
Project Management and Stakeholder Interaction:
Serve as a project lead or subject matter expert (SME), overseeing project lifecycles and ensuring the alignment of solutions with organizational goals.
Act as a bridge between technical teams and stakeholders, ensuring that AI solutions comprehensively meet the strategic needs of the organization.
Knowledge Dissemination and Technical Leadership:
Share expert knowledge through presentations, technical documentation, and the creation of Jupyter Notebook tutorials.
Develop proof-of-concept applications to validate and refine proposed AI solutions.
Advisory and Compliance Roles:
Provide guidance 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 five 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.
Proficient understanding of software development life cycles and advanced coding practices, with a strong background in .NET/C#, Python, and SQL.
Extensive experience with Azure cloud services, developing microservices, APIs, and large- language model applications.
Advanced knowledge in designing UML diagrams and understanding Generative AI architecture and training processes.
Excellent stakeholder management and project planning abilities, coupled with the capacity to effectively communicate complex technical concepts to non-technical audiences.
Working Conditions
Completion of Harvard IT Academy specified foundational courses (or external equivalent) preferred
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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Benefits
We invite you to visit Harvard's Total Rewards website (https://hr.harvard.edu/totalrewards) to learn more about our outstanding benefits package, which may include:
Paid Time Off: 3-4 weeks of accrued vacation time per year (3 weeks for support staff and 4 weeks for administrative/professional staff), 12 accrued sick days per year, 12.5 holidays plus a Winter Recess in December/January, 3 personal days per year (prorated based on date of hire), and up to 12 weeks of paid leave for new parents who are primary care givers.
Health and Welfare: Comprehensive medical, dental, and vision benefits, disability and life insurance programs, along with voluntary benefits. Most coverage begins as of your start date.
Work/Life and Wellness: Child and elder/adult care resources including on campus childcare centers, Employee Assistance Program, and wellness programs related to stress management, nutrition, meditation, and more.
Retirement: University-funded retirement plan with contributions from 5% to 15% of eligible compensation, based on age and earnings with full vesting after 3 years of service.
Tuition Assistance Program: Competitive program including $40 per class at the Harvard Extension School and reduced tuition through other participating Harvard graduate schools.
Tuition Reimbursement: Program that provides 75% to 90% reimbursement up to $5,250 per calendar year for eligible courses taken at other accredited institutions.
Professional Development: Programs and classes at little or no cost, including through the Harvard Center for Workplace Development and LinkedIn Learning.
Commuting and Transportation: Various commuter options handled through the Parking Office, including discounted parking, half-priced public transportation passes and pre-tax transit passes, biking benefits, and more.
Harvard Facilities Access, Discounts and Perks: Access to Harvard athletic and fitness facilities, libraries, campus events, credit union, and more, as well as discounts to various types of services (legal, financial, etc.) and cultural and leisure activities throughout metro-Boston.
EOE 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.
