Principal Architect
Scale AI · Washington, DC · Public Sector Engineering
About this role
Scale AI is hiring a principal-level Network Engineer in the operations function based in Washington, DC. The posting calls out experience with Python, JavaScript, TypeScript, AWS. Compensation is listed at $298,400–$373,000 per year.
- Role
- Network Engineer
- Function
- operations
- Level
- principal
- Track
- Tech leadership
- Employment
- Full-time
- Location
- Washington, DC
- Department
- Public Sector Engineering
More roles at Scale AI
Job description
from Scale AI careersPrincipal Architect
Location: Washington, DC
About the Role
We are seeking a Principal Architect to drive the design, development, and deployment of our agentic AI products in a fast-paced, collaborative, extremely high-visibility environment.
In this role, you will lead a team of 50+ engineers, providing both strategic and technical guidance. You’ll be responsible for high-impact architectural decisions, cross-company collaboration, and executive level engagements.
What You’ll Do
- Team Leadership: Lead and mentor a high-performing engineering team of 80+, fostering a culture of technical excellence and ownership.
- Technical Direction: Guide your team through complex challenges involving LLMs, AI agents, and large-scale distributed systems.
- Executive Stakeholder Engagement: Represent Scale AI in high-stakes negotiations and strategic discussions with senior external partners, demonstrating strong technical competence and credibility.
- Strategic Planning & Communication: Develop and communicate a compelling vision for Scale AI’s technology applied to your program. Provide regular updates to senior leadership and key stakeholders on progress, risks, and opportunities.
- Culture & Teamwork: Foster a culture of speed, unity of purpose, resilience, and teamwork. Lead through uncertainty with determination and adaptability.
What We’re Looking For
- 10+ years of software engineering experience, including 5+ years in a technical leadership or staff role.
- Deep understanding of modern AI/ML technologies, including experience working with LLMs and AI agents.