This role has the possibility of being remote or hybrid.
- Remote work may be considered for individuals living at least 100-mile radius from campus and where all work will be completed within a state that Harvard is registered to do business in (CA, CT, GA, IL, MA, MD, ME, NH, NJ, NY, RI, VA, VT or WA). Please note that you may be expected to come to our Boston, MA based campus with specific duration and frequency to be determined by the department’s needs.
- Hybrid - We consider hybrid to be a combination of remote and onsite work at our Boston, MA based campus. HBS expects all staff to be onsite 3 days per week and departments provide onsite coverage Monday – Friday. Specific hours and days onsite will be determined by business needs and are subject to change with appropriate advanced notice.
Job Summary:
Lead comprehensive applications/web development for highly complex projects; typically work as part of a team to implement complex business solutions. Deliver strategic and expert coding; focus on overarching development strategy for a large, complex, multi-faceted application. May manage a number of projects simultaneously.
Job Specific Responsibilities:
Harvard Business School will not offer visa sponsorship for this opportunity.
We are seeking a talented Generative AI Engineer to join our team. In this role, you will design, develop, and deploy state-of-the-art generative AI models, directly impacting our platform's ability to provide interactive and intelligent tools for our users.
As a Senior Data Scientist specializing in Generative AI applications, you will play a pivotal role in developing innovative generative AI products that support the Harvard Business School (HBS) Foundry team and learners on our platform. This key technical role requires hands-on expertise across data science, machine learning, and AI solutions. You will manage the lifecycle of artificial intelligence algorithms and tools across a variety of domains. The Foundry Team will support with domain knowledge.
Responsibilities Include:
AI Tool Development and Implementation
- Design and implement efficient data pipelines for data collection, cleaning, labeling, and preprocessing
- Ensure quality of datasets tailored for LLM training for each product. Build data science pipelines from feature generation, data visualization and models evaluation; design the solution, build code and provide documentation with ways of working to maximize time to value, re-usability, and scalability.
- Designing, developing, deploying, and implementing multi-agent AI tools that:
- Assess and provide feedback on venture-related submissions
- Automatically generate pitch decks, financial projections, marketing strategies, and other materials to support entrepreneurs
- Act as a counterparty to simulate important entrepreneurial interactions such as customer interviews, negotiations with an investor, etc.
- Designing generative AI models using techniques like natural language processing and machine learning that can power interactive tools on HBS Foundry.
- Designing an AI-powered system that collects key factors to determine a learner’s profile, entrepreneurial progress, and venture progress, and provides customized learning pathways based on these factors.
- Integrating AI tools into the HBS Foundry platform in a seamless manner so they are easy for users to access and utilize.
- Collaborate on technical vision to accelerate product impact through cutting-edge LLM innovations.
- Building guardrails, compliance rules, and oversight workflows into the GenAI tools and Foundry platform.
- Continually improving AI tools using feedback from users to ensure they are providing valuable assistance.
Project and Performance Management
- Monitor, debug, track, and resolve production issues.
- Work with the Foundry Project Director to ensure that projects proceed on time and on budget.
- Collaborate with Product Managers to ensure proper tracking of performance KPIs and prioritize improvements based on effort and impact.
- Presenting prototypes and progress updates to stakeholders.
Research and Collaboration
- Staying up to date on the latest advances in AI/ML research and identifying how new techniques could enhance the HBS Foundry platform.
- Collaborating with a team of engineers, designers, and subject matter experts to deliver high-quality, helpful AI-powered experiences.
- Build trust and collaboration by being present on-site and engaging directly with
colleagues and various constituents.
This role is responsible for other duties as assigned.