Sr. Applied AI Engineer, Generative AI , HBS Foundry

Sr. Applied AI Engineer, Generative AI Applications, HBS Foundry

School/Unit Harvard Business School

Department HBS Foundry

Job Function Technical

Location Boston

Job Type Full-time

Salary Grade 059

FLSA Status Exempt

Union 00 - Non Union, Exempt or Temporary

Term Appointment Yes

By working at Harvard University, you join a vibrant community that advances Harvard's world-changing mission in meaningful ways, inspires innovation and collaboration, and builds skills and expertise. We are dedicated to creating a diverse and welcoming environment where everyone can thrive.

HBS Foundry is a new initiative at Harvard Business School that helps founders build, fund, and launch their ventures through an AI-driven digital learning platform. We're a small, collaborative team within one of the world's most respected institutions—combining the energy of a startup with the mission and reach of Harvard. Foundry brings together educators, engineers, and creative thinkers who are passionate about innovation, learning, and impact.

Together, we're developing tools and experiences that empower founders to grow their ventures and their confidence. It's an exciting, fast-moving environment where new ideas matter and every team member has the opportunity to shape what comes next.

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.

We are seeking a talented Applied 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.

• Build trust and collaboration by being present on‑site and engaging directly with colleagues and various constituents.
• Develop and train AI models: Create and train machine learning models and neural networks for tasks like data analysis, natural language processing, and computer vision.
• Implement and integrate AI: Write code to integrate AI functionality into existing software and ensure seamless deployment with other systems and APIs.
• Data preprocessing: Clean, prepare, and manage large datasets to be used for training and fine‑tuning models.
• Optimize performance: Design and optimize machine learning algorithms for scalability and high performance and continuously monitor and test AI systems for improvement.
• Collaborate with teams: Work with data scientists, project managers, and other stakeholders to identify business needs and deliver AI solutions.
• Stay updated: Keep up with the latest advancements in AI technology, tools, and trends to ensure projects remain innovative.
• This role is responsible for other duties as assigned.

• Minimum of seven years’ post‑secondary education or relevant work experience
• Education: A bachelor’s degree in computer science, data science, or a related field is required.
• Programming: Strong proficiency in programming languages such as Python and Java.
• AI/ML Frameworks: Experience with AI frameworks like Tensor Flow and PyTorch.
• Problem‑solving: Strong analytical and logical thinking skills to tackle complex problems.
• Collaboration: Ability to work effectively with cross‑functional teams.
• Cloud experience: Familiarity with cloud platforms is often beneficial.

• Appointment End Date: This position is approved as a term appointment with an end date of June 30, 2027. There is a possibility of renewal/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
• Other Information:
  • This is a hybrid position which we consider to be a combination of remote and onsite work at our Boston, MA based campus. HBS expects all staff to be onsite a minimum of 3 days per week and departments provide onsite coverage Monday‑Friday.…