Staff Solutions Architect, Enterprise
Scale AI · New York, NY; San Francisco, CA · New York, NY · San Francisco, CA
CHECKED 14H AGO
Infrastructureonsitestaff
At a glance
Highlights
- Own technical strategy for Scale's most complex enterprise AI opportunities.
- Architect end-to-end AI/LLM solutions from discovery to production.
- Advise CTOs and AI leaders on long-term AI adoption strategy.
What they offer
- base salary
- equity
- benefits
Ideal candidate
Senior customer-facing engineer who thrives in ambiguity and owns complex enterprise deals end-to-end. Trusted executive advisor with strong ownership, curiosity, and passion for scaling real-world AI impact.
Requirements
- Deep technical background with significant experience in customer-facing engineering roles at enterprise scale
- Proven track record owning and closing complex, multi-stakeholder technical deals with Fortune 500 enterprises
- Strong systems thinking and architecture experience across cloud, data, and AI/ML systems
- Hands-on experience with Python, Java or similar with ability to prototype and validate solutions
- Experience operating as senior technical advisor to executive stakeholders
- Demonstrated ability to navigate ambiguity, influence without authority, and drive alignment
- Exceptional communication skills translating between business, product, and technical audiences
- High ownership, intellectual curiosity, and bias for action in fast-paced ambiguous environments
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