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