Senior Data Scientist, Generative AI Products, HBS Foundry
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.
Qualifications
Basic Qualifications:
- Minimum of seven years’ post-secondary education or relevant work experience
- Advanced degree in computer science, data science, engineering, or a related field within AI/ML
Additional/Desired Qualifications:
- 3+ years of experience building (Generative) AI models and tools highly preferrable
- Experience working in a similar role in a startup environment preferrable
- Expertise in NLP, deep learning, and other relevant techniques
- Strong programming skills in Python and frameworks like TensorFlow
- Experience building advanced workflows such as retrieval augmented generation, model chaining, dynamic prompting, PEFT/SFT, etc. using Langchain and similar tools
- Experience integrating AI into consumer-facing applications (front-end and back-end development for integrating AI solutions into web applications
- Experience establishing model guardrails and developing bias detection and mitigation techniques for AI applications using tools (such as NeMo)
- Experience with various embedding models and setting up and tuning vector databases to improve performance of semantic search and retrieval systems
- Experience working with a variety of relational SQL and NoSQL databases, big data tools (such as Hadoop, Spark, Kafka), and at least one cloud provider solution (AWS highly preferrable)
- Experience in using version control systems such as Git.
- Experience with containerization and orchestration tools like Docker and Kubernetes.
- Experience with API development and integration for AI services.
- Understanding of and experience with of software engineering best practices like version control, CI/CD, and containerization
- Experience establishing model guardrails and developing bias detection and mitigation techniques for AI applications
- Proficiency with various prompting techniques, with a clear understanding of tradeoffs between prompting and finetuning
- Experience with finetuning embedding models and tuning vector databases to improve performance of semantic search and retrieval systems
- Experience operationalizing end-to-end machine learning applications.
- Excellent communication and collaboration skills
- Passion for using AI to solve real-world problems
Additional Information
- Appointment End Date: June 30, 2027, with possibility of extension.
- Standard Hours/Schedule: 40 hours per week
- Visa Sponsorship Information: Harvard University is unable to provide visa sponsorship for this position
- Pre-Employment Screening: Identity, Education, Criminal
