5 дней назад
Tech Lead (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Tech Lead (AI): Architecting and delivering Collections Explorer, an AI-enhanced discovery application with supporting metadata infrastructure, hybrid search, APIs, and metadata pipelines with an accent on responsible AI, retrieval technologies, and production reliability. Focus on making architectural decisions, evaluating AI-driven discovery features, designing search and metadata systems, and supporting secure, observable production deployments.
Location: Cambridge, Massachusetts, with hybrid work as needed. Hybrid employees must work in a Harvard registered state.
Company
Central Administration and Information Technology provide technology services that support education, research, learning, and university operations.
What you will do
- Lead architecture and technical design for Collections Explorer and related Reimagining Discovery initiatives.
- Guide development of an AI-enhanced discovery application, metadata pipelines, APIs, and hybrid search capabilities.
- Make technical decisions for search, information retrieval, AI/LLM features, evaluation, transparency, privacy, security, and responsible AI use.
- Review code, establish coding standards, troubleshoot technical issues, and manage technical debt.
- Support production readiness through reliability, performance, monitoring, logging, error handling, and maintainability practices.
- Coordinate with the project manager and communicate technical status and issues to technical and non-technical stakeholders.
Requirements
- At least seven years of post-secondary education or relevant work experience.
- At least two years of experience with machine learning or artificial intelligence, including data preprocessing, feature engineering, and model evaluation.
- Experience with software product testing, maintenance, or launch, plus software design and architecture.
- Knowledge of Python, FastAPI, React, NextJS, API tooling, search platforms, vector databases, embeddings, semantic search, or hybrid search.
- Experience with metadata pipelines, data transformation, APIs, integrations, LLM application patterns, retrieval-augmented generation, evaluation, guardrails, or responsible AI.
- Harvard is unable to provide visa sponsorship for this position. Candidates must satisfy applicable work-location sponsorship requirements.
Nice to have
- Experience with Elasticsearch or OpenSearch, Docker, Kubernetes, Jira, GitHub, and CI/CD orchestration.
- Experience in libraries, archives, museums, cultural heritage, higher education, research, or other complex information environments.
- Familiarity with WCAG 2.1 AA, Scrum, Agile practices, and Harvard IT Academy foundational courses.
Culture & Benefits
- Full-time position with comprehensive employee benefits and funding through June 30, 2028, with possible renewal.
- Medical, dental, and vision coverage beginning on day one, retirement contributions, paid time off, and parental leave.
- Professional development opportunities, including tuition assistance and reimbursement.
- Wellbeing and mental health resources, family and caregiver support, commuter benefits, discounts, and campus perks.
- Work is performed in an office setting, with hybrid work determined by departmental operational needs.
Hiring process
- Submit a cover letter and resume as one document.
- Complete a 180-day orientation and review period after appointment.
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