S
Not Specified Permanent

Washington, Washington DC · USA job

Principal Architect

Scale AI

Washington, Washington DC

Job description

Overview

As Principal Architect, you will shape the design and execution of agentic AI products in a high-visibility setting. You will lead a 50+ engineering team, guiding architectural decisions and cross-company collaboration to deliver impactful AI systems. You'll engage with executive stakeholders and partners, translating strategy into scalable technical programs. This is an opportunity to drive breakthrough AI capabilities at scale while shaping how Scale AI partners with industry and government. You will work at the intersection of cutting-edge AI, large-scale distributed systems, and strategic product development.

Compensation / Benefits
  • comprehensive health, dental and vision
  • retirement benefits
  • learning and development stipend
  • generous PTO
  • commuter stipend
  • equity-based compensation (subject to Board approval)
Responsibilities
  • Lead and mentor a large engineering team, fostering technical excellence and ownership
  • Set technical direction for LLMs, AI agents, and distributed systems
  • Engage with executives and external partners to represent Scale AI credibly
  • Develop and communicate a compelling technology vision and report progress to leadership
  • Foster a culture of speed, unity, and resilience while guiding the team through uncertainty
Key requirements
  • 10+ years of software engineering experience, including 5+ years in technical leadership
  • Deep AI/ML knowledge with experience in LLMs and AI agents
  • Proficiency in Python and/or JavaScript/TypeScript
  • Hands-on experience with Kubernetes and cloud platforms (AWS, GCP, or Azure)
  • Strong product/business sense aligning engineering with company goals
  • Ability to operate effectively in ambiguous, fast-changing environments
  • Experience engaging with executive-level partners and public sector customers
  • strong communication
  • leadership and mentoring
  • stakeholder management
  • LLMs
  • AI agents
  • large-scale distributed systems

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