Harvard Business Publishing · 12 hours ago
AI Developer
United States
Full-time
Remote
Senior Level
$150K/yr - $170K/yr
5+ years expHarvard Business Publishing (HBP) is a leading destination for innovative management thinking, aiming to unlock the leader in everyone. The AI Developer will drive innovation by applying AI and ML technologies to enhance product offerings, support product teams in rapid prototype development, and facilitate collaboration across departments to leverage core ML and AI infrastructure.
Publishing
Responsibilities
Support product teams in building new AI-enabled features: Contribute to technical vision and participate directly as a technical resource in product development, focusing on innovation with data and AI to create cutting-edge solutions. Work closely with HBP product teams to develop and iterate on prototypes quickly, ensuring that AI and ML capabilities are effectively integrated into new product ideas and that we can test and learn more quickly over time by reusing shared AI capabilities
Facilitate technical interoperability: Act as a bridge between HBP product management, data engineering, production software engineering, and partner technical teams at HBP and HBS to extend and leverage core ML and AI infrastructure across development stages from prototyping to production
Develop and maintain ML and AI infrastructure: Work in consultation with partner technical teams at HBP and HBS to develop and maintain the infrastructure needed for product-facing ML and AI applications, such as an LLM chat interface, a vector store for RAG, predictive ML workflows with automated triggers, and ML Ops tools, within AWS and snowflake environments
Contribute to data engineering: Ensure quality and integrity of user, content, and market data by collaborating with the Data Engineering team to build and maintain data pipelines and product-facing APIs for HBP's central data warehouse relevant to products the AID is supporting
Support data science and analytics: Contribute to design and execution of data science and analytics projects relevant to products the AID is supporting, such as inferring causal factors driving user intent, predicting user attributes, exposing insight from user activity to inform editorial and marketing decisions, and projecting potential revenue
Qualification
Required
5+ years in data science, ML/AI development, or a closely related field, with a proven track record of delivering production-grade AI/ML solutions
Excellent communication and stakeholder management skills, with the ability to work effectively across multiple teams and departments
A strong passion for innovation and the ability to think creatively about how AI and ML can be applied to solve business problems and enhance product offerings
Hands-on experience with developing, deploying, and maintaining ML infrastructure, including model training, evaluation, and production-ready APIs. Familiarity with MLOps tools and concepts including MLFlow, AWS Sagemaker, model registries, and CI/CD. Experience delivering AI/ML APIs using FastAPI, flask, or similar
Excellence in Python programming and experience with relevant data science and AI/ML packages such as pandas, scikitlearn, pytorch, and Langchain. Extensive experience in collaborative development with git
Practical experience with cloud services such as AWS (preferred), Azure, or Google Cloud for deploying and managing AI/ML workflows and containerization tools like docker
Preferred
3+ years of experience developing products with, and guardrails for, LLMs strongly preferred
Experience support end users of no-code AI-assistive tools and platforms and ability to support transitions of no-code prototypes to dev and production environments
Familiarity with data engineering concepts and tools, including data pipelines, ETL processes, data warehousing, the medallion architecture, and dbt
Extensive experience answering questions with and deriving strategic insights from data, including proficiency in probability and statistics, data querying and transformation with SQL, and developing interactive data dashboards and applications with tools like Streamlit
Benefits
Education reimbursement
Early-release Summer Fridays
Company
Harvard Business Publishing
Harvard Business Publishing was founded in 1994 as a not-for-profit, independent corporation that is an affiliate of Harvard Business School.
501-1000 employees
H1B Sponsorship
Harvard Business Publishing has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2023 (1)
Funding
Current Stage
Late StageLeadership Team
Ken Griffin
Managing Director, Enterprise Risk Management
Recent News
Arkansas Business — Business News, Real Estate, Law, Construction
2025-04-22
Security Affairs
2022-10-11
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