AI-Native Architect

Carnegie Mellon University•Pittsburgh, PA

1d•Onsite

About The Position

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. AI-Native Architect 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: assessing customer system challenges and recommending technical solutions reviewing existing systems against today's challenges and designing modernization strategies creating novel architectures and reference architectures to address customer challenges coaching engineering teams in achieving architecture-scale changes architecting and prototyping systems and agentic workflows identifying opportunities to apply AI to diverse architecture challenges sharing experiences, solutions, and practice improvements with the technical community through publications and presentations You will have the opportunity to work with world class software engineers, researchers, and data scientists working on national and global scale problems.

Requirements

Comprehensive knowledge of software architecture and software engineering fundamentals
Broad knowledge of architecture principles, practices, and tools
Ability to quickly learn new problem domains and technologies
A track record of architecting or rearchitecting systems at scale
A track record of aligning development activities with planned architectures
Ability to keep up with and adapt to rapidly changing technical advances
Strong written and verbal communication skills; ability to convey complex technical ideas in a layperson’s terms to stakeholders with different backgrounds
Proficiency developing task plans or roadmaps to solve complex problems
Strong collaboration skills for working with colleagues and sponsors
Willingness and ability to guide and mentor junior team members
A bachelor’s degree in computer science, software engineering, or related discipline with eight (8) years of experience; OR MS in the same fields with five (5) years of experience; OR PhD with two (2) years of experience.
You will be subject to a background investigation and must be able to obtain and maintain a Department of War security clearance.
Willing to travel up to 25% of the time to locations outside of your home location. Travel sites include SEI offices in Washington, D.C., sponsor sites, and conferences.

Nice To Haves

Experience leading engineering teams to produce successful outcomes for industry or government projects
Successful application of AI to improve software engineering activities
Experience working with leadership to plan, develop, and deliver an overall technical strategy
Experience drafting work proposals

Responsibilities

assessing customer system challenges and recommending technical solutions
reviewing existing systems against today's challenges and designing modernization strategies
creating novel architectures and reference architectures to address customer challenges
coaching engineering teams in achieving architecture-scale changes
architecting and prototyping systems and agentic workflows
identifying opportunities to apply AI to diverse architecture challenges
sharing experiences, solutions, and practice improvements with the technical community through publications and presentations