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Зарплата не указанаСильная компанияЧеткие обязанностиПродуктовая компания
Оценка от Hirify AI
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Hirify AI/Оригинал
TL;DR
Principal Solutions Engineer (AI): Architecting and leading the deployment of complex AI and LLM solutions for enterprise customers with an accent on technical strategy and executive alignment. Focus on designing production-ready AI systems, translating ambiguous customer needs into scalable architectures, and influencing the product roadmap.
Salary: $212,000–$265,000 USD annually, plus potential equity and benefits.
Company
Scale AI develops reliable AI systems, high-quality training data, and full-stack technologies that help enterprises and governments build, deploy, and oversee AI applications.
What you will do
Own technical strategy and execution for complex, high-value enterprise opportunities and define the technical win.
Advise CTOs, Heads of AI, and engineering leaders on long-term AI and LLM adoption strategies.
Architect end-to-end solutions from discovery through pilots and productionization across ambiguous customer requirements.
Lead executive presentations, technical deep dives, workshops, and multi-phase Scopes of Work.
Align Sales, Product, and Engineering while resolving critical technical and business challenges.
Influence the product roadmap, mentor Solutions Engineers, and improve the scalability of the Solutions Engineering function.
Requirements
Deep technical background in customer-facing engineering, including pre-sales, forward-deployed, or post-sales roles at enterprise scale.
Track record of owning and closing complex technical deals with Fortune 500 or equivalent enterprises.
Systems thinking and architecture experience across cloud, data, and AI/ML systems.
Hands-on programming experience with Python, Java, or similar languages.
Experience advising executive stakeholders and influencing without authority across diverse teams.
Exceptional communication, ownership, intellectual curiosity, and ability to operate in ambiguous environments.
Nice to have
Experience with generative AI and LLM applications in enterprise environments.
Background in forward-deployed engineering or production-grade ML systems.
Experience in financial services, insurance, healthcare, or other regulated industries.
Culture & Benefits
Health, dental, and vision coverage.
Retirement benefits, learning and development stipend, and generous paid time off.
Potential equity compensation and commuter stipend for eligible roles.
Inclusive equal opportunity workplace with reasonable accommodation support.
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