Principal Architect
Scale AI · Washington, DC
CHECKED 14H AGO
Infrastructureonsiteprincipal$285k–$356k
At a glance
Highlights
- Drive design, development, and deployment of agentic AI products.
- Represent Scale AI in high-stakes negotiations with senior external partners.
- Shape vision for Scale AI technology applied to mission-critical programs.
What they offer
- comprehensive health, dental and vision coverage
- retirement benefits
- learning and development stipend
- generous PTO
- commuter stipend
- equity compensation
Ideal candidate
Seasoned engineering leader who thrives in ambiguity and high-visibility missions, uniting large teams around a bold vision while pairing strong product sense with executive presence for public-sector partners.
Requirements
- 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 with LLMs and AI agents
- Proficient in Python or JavaScript/TypeScript
- Hands-on experience with Kubernetes and cloud infrastructure (AWS, GCP, or Azure)
- Strong product and business sense aligning engineering efforts with company goals
- Ability to operate in ambiguous, fast-changing environments
- Experience in executive-level engagement with industry partners and Public Sector customers
Lab profile
About Scale AI
AI data foundry providing high-quality data for training, fine-tuning, and evaluating AI systems.
What they build
- Training, fine-tuning, and evaluation data for frontier models
- Multimodal and coding data for audio, image, video and world models
- Custom AI applications for enterprise and global public sector
Known for
- Leading data partner for frontier model developers
- Trusted across enterprise, defense and public sector
- Depth in multimodal, coding and physical AI
- End-to-end capability from strategy to delivery and evaluation
Key facts
- Founded in 2016
- Headquartered in San Francisco, California
- Private company backed by Accel, Founders Fund, Index Ventures, Nvidia and Meta