Technical Director, Generative AI Lab, Wharton

3 days ago

Philadelphia, Pennsylvania, United States The University of Pennsylvania Full time
Transformative Opportunity

The University of Pennsylvania, a world-renowned leader in education, research, and innovation, is seeking a visionary Technical Director to lead the development of its Generative AI Lab. As a key member of the Wharton School team, you will play a crucial role in shaping the future of generative AI and its application in education and work.

About the Role

We are looking for a seasoned technology leader with a proven track record of managing teams, providing coaching and performance management, and overseeing the successful delivery of software projects using modern SDLC methodologies. Your expertise in software architecture principles, software engineering, and technical leadership will be instrumental in guiding the development of our AI-powered platform and tools.

Key Responsibilities

Oversee the design, development, and deployment of our open-source platform, ensuring scalability and integration with multiple systems. Collaborate closely with developers and designers to define technical requirements, scopes, and timelines. Maintain high standards of code quality and system reliability through rigorous code reviews and mentorship. Manage relationships with technology partners and oversee external partnerships and vendor agreements. Facilitate sprint planning sessions, ensuring efficient project management and timely delivery. Stay abreast of developments in generative AI, applying insights for continuous improvement. Mentor and develop a team of software engineers, fostering a culture of innovation and excellence.

Requirements

A bachelor's degree and over 7 years of experience in a technology management role, preferably in technology startups, or an equivalent combination of education and experience. Proven track record of managing a team, providing coaching and performance management. Experience as a software engineer or software architect, collaborating closely with a technology-focused team. Understanding of software architecture principles and ability to guide decision-making for software platforms. Experience overseeing the successful delivery of software projects using modern SDLC methodologies, such as Agile. Experience working with CTOs, Software Architects, and other technology leaders to develop and execute a technology strategy. Ability to diagnose faults in software applications and platforms, leveraging technical expertise and collaboration with technical teams. Experience with cutting-edge generative AI tools, such as GPT-4, Claude 3.5 Sonnet, and Gemini Advanced, and ability to integrate these tools into professional workflow.

Preferred Qualifications

Demonstrated success in leading a new technology initiative. Experience working with senior technology leaders on software delivery strategy. Degree in Computer Science, Information Technology, or a related field. Experience leading technological transformation projects.

How to Apply

We're eager to learn about you and your work. To apply, please submit:

1. Your resume

2. A detailed account of your current use of generative AI, including:
  • Three in-depth examples of how you're actively using generative AI in your work
  • Specific outcomes and insights from these tools
  • Any challenges you've encountered and how you've addressed them
3. A cover letter expressing your interest in this role and how you envision contributing to our mission.

The anticipated pay range is $150,000-160,000 Final Salary is based on the candidate's qualifications, experience, skills, and education as they directly relate to the requirements of the position, as well as internal and market factors and grade profile.

University Benefits

Penn offers a comprehensive benefits package, including excellent healthcare and tuition benefits for employees and their families, generous retirement benefits, a wide variety of professional development opportunities, supportive work and family benefits, a wealth of health and wellness programs and resources, and much more. To learn more, please visit: https://www.hr.upenn.edu/PennHR/benefits-pay

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