• Support Capture Managers and the Growth Team in developing and maintaining capture plans. • Assist with opportunity qualification, competitive analysis, and win strategy documentation. • Track and update pipeline data for Nemean and Joint Ventures. • Conduct research on agencies, procurement forecasts, incumbents, and competitors. • Identify risks, gaps, and action items throughout the capture lifecycle. • Prepare and maintain capture artifacts (briefings, call plans, SWOT analyses, gate reviews). • Support customer engagement preparation and meeting documentation. • Support proposal volume development (technical, management, and past performance). • Draft and refine proposal sections, executive summaries, and management approaches. • Use AI tools to accelerate draft development, summarize complex technical inputs, improve clarity, compliance and structure, generate structured RFI and Sources Sought responses, apply compliance checks and human refinement to all AI-generated content, and support Growth Team data calls and ensure timely, accurate submissions. • Maintain and improve: Past Performance Library, proposal Library and RFI / Sources Sought Library. • Organize SharePoint folders, templates, and Growth documentation. • Improve tagging, indexing, and retrieval of corporate knowledge assets. • Leverage knowledge management tools to streamline proposal reuse and content optimization. • Research Federal opportunities using SAM.gov and other procurement systems. • Track NAICS codes, contract vehicles (IDIQs, GWACs, Single Award, Direct Awards). • Support pipeline forecasting and growth metrics reporting. • Attend Growth and capture meetings; prepare structured notes and action summaries. • Track tasks and deadlines using task management systems. • Support executive scheduling and occasional expense reporting. • Interface professionally with internal teams, subcontractors, and partners.

• Design, build, test, evaluate, monitor, and tweak AI automation workflows • Develop and refine prompts for various AI models (GPT, Gemini, Claude, etc.) focusing on accuracy and efficiency • Create workflows that utilize AI agents, defining their tasks and interactions • Work with stakeholders across the group to understand business needs and deploy AI solutions • Monitor and improve the performance of prompts, workflows, and AI agents • Keep and share detailed records of prompts, best practices, and agentic workflows

• AI Orchestration: Build and maintain the "glue" between AI models and internal tools. • Rapid Prototyping: Ship 80% solutions in hours/days, not weeks. • Problem Finding: Proactively identify tasks that "aren't worth the team's time" and automate them. • Technical Querying: Handle complex data/AI queries to support leadership.

DeVry University strives to close our society’s opportunity gap and address emerging talent needs by preparing learners to thrive in careers shaped by continuous technological change. Through innovative programs, relevant partnerships, and exceptional care, we empower students to meaningfully improve their lives, communities, and workplaces. Our colleague experience is an area of obsessive focus. At DeVry University, we care about you. Because, only through you can we deliver our unique Care Formula to our learners and partners. Opportunity: DeVry University focuses on developing long-term relationships with superior instructors who have high professional standards, excellent communication skills, enthusiasm and a commitment to providing the finest practitioner-focused education. We are seeking primarily industry professionals to teach and share their knowledge and experience with undergraduate and graduate students in a variety of fields. - Courses meet once or twice a week for eight weeks. - Face-to-face interaction is blended with technology (such as online discussions and online assignments) for an enhanced learning environment. - Faculty are responsible for facilitating student learning by teaching courses and programs in accordance with DeVry University requirements. - Faculty develop course syllabi and lesson plans and apply teaching techniques to best achieve course and programmatic objectives. - All DeVry instructors will participate in a comprehensive faculty training program and ongoing faculty development activities to ensure the highest quality instruction. - DeVry University does not guarantee any specific number of work hours or assignments, which may vary based on the University’s needs and discretion. - As you explore this opportunity, we invite you to view this brief video highlighting how our faculty engage in meaningful student support. Responsibilities: - Develops and provides students with an approved DeVry University syllabus that follows a template established by the local campus, and which includes the terminal course objectives. - Organizes, prepares, and regularly revises and updates all course materials. - Uses appropriate technological options for online technologies and course-related software, including Websites, e-mail, and online discussions for preparing the course and making it accessible to students. - Models effective oral and written communications that engage the students, provide clarity, and improve student learning. - Sets clear expectations for the course by publishing course terminal objectives, assignment/examinations dates, and weight the distribution of various evaluation categories. - Ensures that the content and level of material included on exams correspond to the course terminal objectives. - Demonstrates consistency and fairness in the preparation and grading of exams, and provide timely feedback to students. - Completes other duties as assigned. Required Qualifications: To perform this role successfully, an individual must be able to carry out each essential duty effectively. The requirements listed below represent the knowledge, skills, and abilities needed to teach and support learners in artificial intelligence and related technologies. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. - A doctorate in Artificial Intelligence, Computer Science, Data Science, Information Systems, or a closely related field is required, with at least 18 graduate credit hours in artificial intelligence, machine learning, data science, or a related computational discipline. - Applicants must upload unofficial graduate-level transcripts with their application. - Degrees must be awarded by an institution accredited by an agency recognized by the U.S. Department of Education or the Council for Higher Education Accreditation, or by an international institution determined to hold equivalent accreditation. - Three to five years of applied professional experience in artificial intelligence, machine learning, data science, intelligent systems, or related computational technologies. - Demonstrated experience with AI-enabled software development, which may include machine learning pipelines, generative AI tools, data modeling, or full-stack application development integrating AI services. - Industry-recognized certifications or professional credentials relevant to artificial intelligence, machine learning, data science, or software development. - Strong subject matter expertise in AI concepts and technologies, combined with effective communication skills and the ability to explain complex technical topics to diverse learners. - Knowledge of ethical, responsible, and secure AI practices, including awareness of data governance, bias mitigation, and responsible AI deployment. - Additional requirements driven by state licensing, institutional policy, or accreditation standards may apply. Preferred Qualifications: - Industry certifications in Python programming, artificial intelligence, machine learning, or data science (e.g., PCEP or equivalent). - AI practitioner or engineer certifications (e.g., CAIP, Oracle GenAI, or comparable industry-recognized credentials). - Experience with AI development frameworks and tools, such as machine learning libraries, model deployment platforms, or generative AI systems. - Experience applying DevSecOps practices in AI or data-driven environments, including model lifecycle management and secure AI deployment. - Experience with programmatic or regional accreditation processes, including outcomes assessment and curriculum alignment. - Active membership or engagement in professional technology or AI-related organizations, contributing to ongoing industry awareness and innovation. - Experience integrating AI-assisted learning tools, immersive technologies, or intelligent tutoring systems into post-secondary instruction. - Two to five years of teaching experience at the post-secondary level, preferably in artificial intelligence, data science, programming, or emerging technology disciplines. Pay: Visiting Professor pay is based on level, credit hours taught per 8-week session, and location. In addition, DeVry University does not guarantee any specific number of work hours or assignments, which may vary based on the University’s needs and discretion. - Pay may vary in most states from $1500-$2700 per 8-week session - Pay in the states of AZ, CA, IN and PA is paid at an hourly rate of either $22.00/hour or $23.50/hour For Visiting Professor roles, we accept applications on an ongoing basis. DeVry University offers benefit options for Visiting Professors, including: - 401(k) and Roth Plan - Paid Tuition Program - Remote and Flex Work Options - Paid Sick Time - Technology Stipend Benefits vary based on employment status. Part-time/Visiting Professors positions may not be eligible for all benefits. We believe that a vibrant and collaborative workplace is essential to our educational mission and the success of our community. We are committed to a workplace environment where all colleagues feel valued, respected, and supported.