National War College Alumni Association

As an AI Workforce Development Engineer, you will lead the development and delivery of AI training capabilities, programs, and software for customers, stakeholders, and the public.

Requirements

AI and ML: You have an understanding of AI and ML fundamentals and best practices. You understand the context for AI for defense and national security.

Curriculum Building and Training: You have experience building curriculum and developing training for a variety of audiences. You have created, developed, or delivered experiential learning opportunities. You have experience creating content for MOOCs via platforms such as Digital U and Udemy. You have experience managing coursework on learning management systems such as Moodle and Canvas.

Communication and Collaboration: You are an exceptional communicator and can interact collaboratively and diplomatically with customers and colleagues at all levels of experience and knowledge. You grasp the big picture, direction, and goals of an effort while having the natural ability to dig into the details on problems and technical concepts and provide clear direction. You can present complex ideas to people who may not have a deep understanding of the subject area.

Creativity and Innovation: You are creative and curious, and you are inspired by the prospect of collaborating with premier researchers and visionaries at Carnegie Mellon University and innovation-focused organizations. You quickly learn new procedures, techniques, and approaches. You are forward-looking and can translate research findings into courses where participants apply them to practical challenges.

Project Management: You have a successful track record of leading, managing, and executing projects to develop software systems and to develop training and curricula.

Duties

Leading Development and Delivery of Training: You will lead the creation of courses and curricula, defining learning objectives to developing course materials and teaching. You will produce creative and engaging scenario-based simulations and define and solve challenging problems related to effective learning.

Translating Research into Lessons for Practical Application: As the AI Division leads the creation of an AI Engineering Body of Knowledge, you will translate that research into coursework to equip students to create, deploy, and maintain AI solutions that are scalable, human-centered, and robust and secure.

Understanding Needs and Prioritizing: You will engage with customers, stakeholders, and others to understand their problems, challenges, and needs for developing their AI workforce. You will collect requirements and objectives. You will identify potential new directions for curricula to meet DoD needs for reliable AI solutions in the mission context. With Division leadership, you will direct the team's time and effort as they balance demand for training products.

Learning Analytics and Landscape Analysis: You will analyze the quality of the learning products created by the team. Tasks can include curriculum design, knowledge and performance assessment, feedback, and remediation. You will understand the state of the art in AI education and training to constantly improve our offerings for AI for defense and national security.

Collaboration and Leadership: You will lead and supervise projects and teams, providing performance feedback and project management.