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Senior Data Scientist, Generative AI Products

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HBS

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Location:
United States , Boston

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

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.

Job Responsibility:

  • Lead comprehensive applications/web development for highly complex projects
  • Deliver strategic and expert coding
  • focus on overarching development strategy for a large, complex, multi-faceted application
  • May manage a number of projects simultaneously
  • 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
  • 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
  • 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

Requirements:

  • 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
  • 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
  • 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
What we offer:
  • 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

Additional Information:

Job Posted:
February 20, 2026

Employment Type:
Fulltime
Work Type:
Remote work
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