Southern New Hampshire University logo

Southern New Hampshire University

Director of Generative AI

🇺🇸 Remote - US

🕑 Full-Time


💻 Software Engineering

🗓️ February 5th, 2024

Higher Ed Machine Learning AI

Southern New Hampshire University is a team of innovators. World changers. Individuals who believe in progress with purpose. Since 1932, our people-centered strategy has defined us — and helped us grow a team that now serves over 180,000 learners worldwide.

Our mission to transform lives is made possible by talented people who bring diverse industry experience, backgrounds and skills to the university. And today, we're ready to expand our reach. All we need is you.

Make an impact — from near or far

At SNHU, you'll have the option to work remotely in the following states: Alabama, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Mississippi, Missouri, Nebraska, New Hampshire, New Mexico, North Carolina, North Dakota, Ohio, Oklahoma, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Virginia, West Virginia, Wisconsin and Wyoming.

We ask that our remote employees have access to a reliable internet connection and a dedicated, properly equipped workspace that is free of distractions. Employees must reside in, and work from, one of the above approved states.

The opportunity

The Director of Generative AI is a remote position (#LI-Remote) and will help develop foundational LLMs aimed at improving the experience and performance of learners in their journey at SNHU while pushing the boundaries of innovation. The Director of Generative AI will oversee a team of experts in AI and machine learning, to advance our products and services. You will need to possess a combination of technical, project management, and management skills. It is essential to have experience developing AI/ML solutions, and an interest in the latest technologies. You will report to our Vice President of Machine Learning and Data science and need to collaborate with partners of all backgrounds.

What you'll do:

  • Lead a team of AI and machine learning experts to deploy AI/ML solutions.
  • Build the generative AI strategy for the entire organization.
  • Includes: use case development, drawing up the deployment architecture with the ITS Engineering team, setting up the best practices for scaling and democratizing these tools, and communicating results/requests with associated partners.
  • Develop and gain support on new ML/AI applications and products.
  • Collaborate with partners regarding product design, data specification, and model implementations. Lay out the requirements and potential challenges associated with product deployment to the ITS DevOps and Engineering team. Update leadership and partners on project/test results, gains, opportunities, and address any questions.
  • Design reproducible ML/AI model development and deployment practices (including coding styles, repo structures, performance monitoring, peer review practices, CI/CD steps) that can be absorbed and followed by other team members.
  • Mentor team members on development best practices/techniques.
  • Manage project timelines/milestones to ensure project deliverables are met.
  • Stay up to date on the latest industry trends and developments in AI/ML technology.
  • Help us create compelling presentations and documents to communicate complex ideas to partners and leadership.
  • Enable collaboration efforts between our team and partners to lead us to common goal achievement and meet organizational objectives.
  • Other responsibilities as assigned. Job duties can change at any time, with or without notice.

What we're looking for:

  • 8+ years of experience in a quantitative, data-driven business environment working with data science tools, and complex data sets with increasing responsibility; at least 2 years managing people/processes.
  • Master's degree with a concentration in a quantitative discipline (statistics, computer science, mathematics, economics)
  • You will need experience developing nuanced ideas into tangible products. Demonstrated expertise in deploying machine learning models and applications into production environments.
  • Expertise in both parametric statistical modeling techniques (linear regression, GLM, survival analysis, time series) and non-parametric techniques (GBM, NN, NLP)
  • Substantial prior programming experience in languages such as R, Python, SPARK, and SQL
  • Comfort with professional software development process and GitHub
  • Experience designing rich data visualizations to communicate complex ideas to partners and leadership.
  • Detailed recent NLP experience (basic techniques, large language models, transformers).
  • Experience working with projects from inception to completion

Nice to have:

  • At least 1 year of experience with generative AI solutions (both development and deployment/integration) including training, fine-tuning, and prompt engineering.

We believe real innovation comes from inclusion - where different experiences, perspectives and talents are celebrated. So if you're wondering whether SNHU is right for you, take the leap and apply. You might be just the person we're looking for.

Exceptional benefits (because you’re exceptional)

You’re the whole package. Your benefits should be, too. As a full-time employee at SNHU, you’ll get:

  • High-quality, low-deductible medical insurance

  • Low to no-cost dental and vision plans

  • 5 weeks of paid time off (plus almost a dozen paid holidays)

  • Employer-funded retirement

  • Free tuition program

  • Parental leave

  • Mental health and wellbeing resources