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Principal Architect

Scale AI· Public Sector Engineering
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Washington, DC$298.4k - $373kfull-timePosted 11mo ago

About the role

Lead a team of 50+ engineers to design, develop, and deploy agentic AI products in a high-visibility environment, providing strategic and technical guidance, executive-level engagement, and cross-company collaboration.

Responsibilities

  • Lead and mentor a high-performing engineering team of 80+
  • Guide your team through complex challenges involving LLMs, AI agents, and large-scale distributed systems
  • Represent Scale AI in high-stakes negotiations and strategic discussions with senior external partners
  • Develop and communicate a compelling technology vision and provide regular updates to senior leadership
  • Foster a culture of speed, unity of purpose, resilience, and teamwork

Qualifications

  • 10+ years of software engineering experience
  • 5+ years in a technical leadership or staff role
  • Deep understanding of modern AI/ML technologies, including LLMs and AI agents
  • Proficient in Python and/or JavaScript/TypeScript
  • Hands-on experience with Kubernetes and cloud infrastructure (AWS, GCP, or Azure)
  • Strong product and business sense with a track record of aligning engineering with company goals
  • Ability to operate in ambiguous, fast-changing environments
  • Experience in executive-level engagement with industry partners and Public Sector customers

Skills

Required:Team leadershipAI/LLMsProgrammingCloud & Kubernetes

Benefits

  • comprehensive health, dental and vision coverage
  • retirement benefits
  • a learning and development stipend
  • generous PTO
  • commuter stipend (may be eligible)
Last updated Sep 30, 2026. Interested? Apply on the company site.
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About Scale AI

Data-centric infrastructure to accelerate the development of AI

Scale accelerates the development of AI within organizations of any size to deliver critical business insights and operational efficiency. Its data-centric infrastructure platform leverages RLHF (Reinforced Learning with Human Feedback) to help organizations build the strongest AI models that supercharge their business, with customers across industries including Meta, Microsoft, U.S. Army, DoD’s Defense Innovation Unit, Open AI, General Motors, Toyota Research Institute, Brex, Instacart and Flexport.

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