Senior Data Scientist, Generative AI Products Job at HBS (Boston)

Senior Data Scientist, Generative AI Products

HBS

Location:
United States , Boston

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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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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