Senior AI-Native Architect

Carnegie Mellon University•Pittsburgh, PA

17h•Onsite

About The Position

The AI-Native Software Engineering Directorate focuses 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. The team studies and guides industry and government teams’ use of AI in software engineering, distills best practices and lessons from experiments and experience to shape AI-native software engineering pilot and transition improvements with organizations and measure their success, creates novel agents and agentic workflows to support software engineering, applies AI to accelerate architecture-scale modernization, helps organizations establish AI-native software engineering practices, and guides organizations in evolving their software with architecture and AI-native approaches. The 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.

Requirements

A bachelor’s degree in computer science, software engineering, or related discipline with ten (10) years of experience; OR MS in the same fields with eight (8) years of experience; OR PhD with five (5) years of experience.
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.
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

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