Tech Lead
Conditions. Workplace Diversity, LLC.
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Benefits offered by this job
Job summary
Harvard University is seeking an IT Project Technical Lead for the Collections Explorer and Reimagining Discovery initiatives. You will guide architectural decisions, lead AI/ML-enabled features, and ensure production readiness across web applications, metadata pipelines, and search technology.
The role requires strong collaboration with non-technical teams and extensive experience in Python, FastAPI, React/NextJS, Elasticsearch/OpenSearch, Docker/Kubernetes, and a track record of delivering
Qualifications
- Seven years post-secondary education or relevant work experience.
- Experience with ML/AI technologies including data preprocessing, feature engineering, and model evaluation.
- Experience testing/launching software products; familiarity with software design/architecture.
- Experience with search, data pipelines, metadata systems, AI/ML‑enabled applications, or related technologies.
- Familiarity with API-oriented development and secure software practices.
- Strong communication skills across technical and non-technical stakeholders.
- Knowledge of Python, FastAPI, React/NextJS and API tooling.
- Knowledge of Elasticsearch/OpenSearch and vector search approaches.
- Familiarity with WCAG 2.1 AA standards for web accessibility.
Responsibilities
- Architect and design technical solutions and ensure quality and standards.
- Keep current with AI/ML advancements; lead technical decision making.
- Lead decisions related to search, APIs, metadata, and AI features with safety considerations.
- Estimate and plan work; break down requirements into tasks and schedules.
- Develop and review code to ensure reliability and quality.
- Troubleshoot and resolve technical issues during development.
- Set and reinforce coding standards and best practices across the codebase.
- Support production readiness, including performance, monitoring, and maintainability.
- Collaborate with the project manager and act as liaison between technical and non-technical teams.
- Track and manage technical debt; prioritize resolution.
- Ensure comprehensive technical documentation for code and architecture.
- Adhere to Harvard University's IT standards and code of conduct.
- Other duties as necessary.
Skills
Education
Tools
Job description
By working at Harvard University, you join a vibrant community that advances Harvard's world-changing mission in meaningful ways, inspires innovation and collaboration, and builds skills and expertise. We are dedicated to creating a diverse and welcoming environment where everyone can thrive.
Harvard University's Central Administration (CADM) is a 5,000+ employee organization that supports the university's overall excellence by understanding and serving the needs of its schools, students, faculty, staff, alumni, and surrounding communities. Through dynamic and collaborative partnerships, CADM provides high-quality and efficient services to the schools to help them achieve their goals.
Harvard University Information Technology (HUIT) is a community of Information Technology professionals committed to understanding our users and devoted to making it easier for faculty, students, and staff to teach, research, learn, and work through the effective use of information technology. We are recruiting an IT workforce that has both breadth in their ability to collaborate and innovate across disciplines – and depth in specific areas of expertise. HUIT offers opportunities for IT professionals to learn and work in a unique technology landscape and service-focused environment. If you are a technically proficient, nimble, user-focused and accountable IT professional who also connects with the importance of collaborating well in a team environment we are looking for you!
Our Mission: huit.harvard.edu/about
We empower the Harvard community with essential and transformative technologies to advance education, knowledge, and discovery.
HUIT’s core values are:
- Human-centered
- University-focused
- Innovation-driven
- Team-oriented
HUIT’s IT Academy aims to enable each IT staff person to grow professionally and become a trusted partner to her or his team. The IT Academy is built on the belief that every IT staff member across the University (including technology employees at each school and campus) can grow in her or his area of expertise as well as building strong people and project management skills. Learn more here: https://itacademy.harvard.edu/.
Harvard Library and Harvard University IT are advancing the Reimagining Discovery initiative to transform how researchers, students, and the global community discover and explore Harvard's distinctive collections. This work includes the development of Collections Explorer, an AI-enhanced discovery application, and supporting metadata infrastructure to improve access and discovery of collections through modern hybrid search and user-centered discovery experiences. The IT Project Technical Lead provides hands‑on technical leadership for this project by leading architectural and design decisions, collaborating with team members in technical matters, and guiding implementation, integration, and production readiness for a system that combines modern web application development, metadata pipelines, applied AI techniques, and hybrid search technologies.
The IT Project Technical Lead establishes project specifications and technical direction, creates a framework of technical standards and procedures, oversees software quality and system development and modifications, guides team members with troubleshooting technical issues, analyzes existing operations to identify risks and redundancies, and conducts comprehensive assessments to develop solutions for Collections Explorer and related Reimagining Discovery initiatives.
- Architect and design technical solutions and ensure technical quality and standards. This includes making architectural decisions and guiding technical design.
- Maintain awareness of relevant AI and machine learning advancements, research papers, and tools to inform project direction. Lead technical decision making and make judgment calls on technical implementation details and choices as needed.
- Lead technical decisions related to search, retrieval, APIs, metadata processing, and AI/LLM enabled features, ensuring AI-enabled capabilities are designed and implemented with appropriate attention to evaluation, transparency, privacy, security, bias, hallucination risk, and responsible use.
- Estimate and plan work, ensuring they align with the project's overall goals. Breakdown high‑level requirements into tasks and estimating time/effort required. Assist with project planning and scheduling.
- Develop and review code written by other engineers to ensure it meets quality standards and aligns with design/architecture as needed. Ensure the reliability and accuracy of the AI‑driven discovery features through testing, evaluation, and monitoring.
- Troubleshooting and problem solving. Helping to debug and resolve technical issues/problems that arise during development.
- Set and reinforce coding standards and best practices. Ensure consistent coding style, patterns, naming conventions etc. across the codebase.
- Support production readiness, including reliability, performance, monitoring, logging, error handling, and maintainability.
- Collaborate with the project manager and act as a liaison between technical and non‑technical teams as needed to communicate project status and issues.
- Track and manage technical debt. Identify technical debt and prioritize its resolution.
- Ensure appropriate technical documentation for code, architecture, processes etc.
- Adhere to Harvard University's IT technical standards and best practices.
- Abide by and follow the Harvard University IT Code of Conduct.
- Other duties as necessary.
- Minimum of seven years’ post‑secondary education or relevant work experience
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.
- Minimum of two years of experience working with Machine Learning/Artificial Intelligence (ML/AI) technologies including proficiency in data preprocessing and transformation, feature engineering, and model evaluation methods.
- Minimum of two years' experience testing, maintaining, or launching software products and minimum of one year of experience with software design and architecture.
- Experience with search, information retrieval, data pipelines, metadata systems, AI/ML‑enabled applications, or related technologies.
- Experience with API‑oriented application development.
- Familiar with fundamental security principles and secure software development practices.
- Demonstrated ability to communicate technical concepts clearly to both technical and non‑technical collaborators.
- Knowledge of Python and the FastAPI framework, React/NextJS and API tooling.
- Experience with search platforms and retrieval technologies such as Elasticsearch/OpenSearch, vector databases, embeddings, semantic search, or hybrid search approaches.
- Experience designing or supporting metadata pipelines, data transformation workflows, APIs, or integrations between source systems and discovery applications.
- Familiarity with LLM‑enabled application patterns, retrieval‑augmented generation, prompt/response evaluation, guardrails, and responsible AI practices.
- Knowledge of software development tracking tools such as Jira and GitHub.
- Knowledge of continuous integration/continuous deployment (CI/CD) software orchestration principles.
- Relevant working experience with Docker and Kubernetes.
- Experience working in libraries, archives, museums, cultural heritage, higher education, research, or other complex information environments.
- Demonstrated team performance skills, service mindset approach, and the ability to act as a trusted advisor.
- Attitude that supports an Agile working environment and familiarity with Scrum framework
- Knowledge of information technology applications, processes, software and equipment
- Highly specialized knowledge of a specific technology
- Familiarity with WCAG 2.1 AA standards for web accessibility.
- Completion of Harvard IT Academy specified foundational courses (or external equivalent) preferred
- Working Conditions: Work is performed in an office setting
- Appointment End Date:
This is a fully benefited, full-time Harvard University position that has been funded through 6/30/28. There is the possibility of renewal, contingent upon your work performance meeting the needs of thedepartmentand the continued availability of funding designed to support the position. - Hybrid: Onsite as needed with advance notice.
- Visa Sponsorship Information: Harvard University is unable to provide visa sponsorship for this position
- Pre-Employment Screening: Identity
- Other Information:
This position has a 180-day orientation and review period.
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.
This position is salary grade level 059. Please visit Harvard's Salary Ranges to view the corresponding salary range and related information.
Harvard offers a comprehensive benefits package that is designed to support a healthy work‑life balance and your physical, mental and financial wellbeing. Because here, you are what matters. Our benefits include, but are not limited to:
- 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
Learn more about these and additional benefits on our Benefits & Wellbeing Page.
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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