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Carnegie Mellon University, located in Pittsburgh, seeks an AI-native Architect to guide architecture-scale modernization and apply AI-driven approaches to software engineering. You will work with world-class software engineers, researchers, and data scientists on national and global-scale problems.
The role includes modernizing legacy systems, creating reference architectures, and mentoring junior engineers while collaborating with sponsors and stakeholders across government, industry, and
The future of software engineering is AI-native. Our team works to shape that future through pioneering research, practical engineering methods, and close collaboration with government, industry, and academia. At the AI-native Software Engineering Directorate, we focus on how today's engineering teams can quickly exploit emerging technologies and harness AI capabilities to create and evolve software quickly without losing fundamental software qualities. To address this new world, we study and guide industry and government teams’ use of AI in software engineering distill best practices and lessons from experiments and experience to shape AI-native software engineering pilot and transition improvements with organizations and measure their success create novel agents and agentic workflows to support software engineering apply AI to accelerate architecture-scale modernization help organizations establish AI-native software engineering practices guide organizations in evolving their software with architecture and AI-native approaches. Our overarching goal is to create new workflows and tools that enable AI-paced delivery of software without loss of quality. We're seeking candidates with a demonstrated track record who are motivated to shape AI-native software engineering.
As an AI-native Architect, you will focus on helping organizations solve architecture-scale challenges with the assistance of AI. Common challenges include modernizing legacy systems, rearchitecting systems to enable insertion of new technologies, and creating new architectures and reference architectures across different domains. New challenges include creation and evolution of agentic workflows, both for business processes and software engineering activities. You will help advance our AI-native Software Engineering strategy by solving challenges such as:
You will have the opportunity to work with world class software engineers, researchers, and data scientists working on national and global scale problems.
Pittsburgh, PA
Software/Applications Development/Engineering
Staff – Regular Full time/Part time Full time
Salary
Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
We also serve as a federally funded research and development center (FFRDC) sponsored by the U.S. Department of Defense (DoD) and are based at Carnegie Mellon University, a global research university annually rated among the best for its programs in computer science and engineering. Our people apply special knowledge and skills and are part of an elite research university. We perform research and apply our expertise every day to foresee problems and exploit opportunities in software engineering, AI engineering, and cybersecurity. Quality software that is secure will control the future. At CMU SEI, we are engineering that ever-greater software-fueled future.
Need Help? For technical assistance, email hr-help@andrew.cmu.edu or call 412-268-5072. We are committed to providing an accessible experience throughout our recruitment process. If you need assistance or a reasonable accommodation at any stage of the application, interview, or hiring process, please contact Equal Opportunity Services by email at employeeaccess@andrew.cmu.edu or by phone at 412-268-3930.