Sr. Applied AI Engineer, Generative AI , HBS Foundry

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

Harvard Business School – HBS Foundry – Boston, MA – Full‑time – Salary Grade 059 – Exempt – Term Appointment (June 30, 2027)

Lead comprehensive applications and web development for highly complex projects. Design, develop, and deploy state‑of‑the‑art generative AI models that directly impact our platform’s interactive and intelligent tools.

• Build trust and collaboration by being present on‑site and engaging with colleagues and constituents.
• Develop and train AI models – Create and train machine learning models and neural networks for 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 systems and APIs.
• Data preprocessing – Clean, prepare, and manage large datasets for training and fine‑tuning models.
• Optimize performance – Design and optimize machine learning algorithms for scalability and high performance, continuously monitoring and testing AI systems for improvement.
• Collaborate with teams – Work with data scientists, project managers, and 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.
• Perform other duties as assigned.

• Minimum of seven years of 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 Python and Java.
• AI/ML Frameworks – Experience with 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 – Term appointment with end date of June 30, 2027; 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 hybrid position combines remote and onsite work at our Boston, MA campus. HBS expects staff to be onsite a minimum of three days per week. Candidate interviews may be conducted virtually or in‑person. Candidates are required to complete a Take Home Assignment after clearing Technical Recruiter Screen. A cover letter is required to be considered for this opportunity.

This position is salary grade level 059. Please visit Harvard’s Salary Ranges to view the corresponding salary range and related information.

• 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.

Harvard University is committed to equal opportunity and non‑discrimination. Harvard’s equal employment opportunity policy prohibits discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability or any other characteristic protected by law. All community members participate fully in work and campus life free from harassment and discrimination.