11 часов назад
Principal Solutions Architect (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal Solutions Architect (AI): Leading technical partner and customer engagements across Zyphra’s AI models and agentic systems with an accent on model evaluation, integration architecture, and technical go-to-market strategy. Focus on building technical narratives and deployment playbooks, translating customer intelligence into research priorities, and guiding enterprise AI adoption from discovery through expansion.
Location: San Francisco, United States; on-site
Company
is a startup research lab building frontier AI models and agentic systems.
What you will do
- Advise strategic partners and customers across language, vision, audio, brain-computer interface, and agentic AI systems.
- Develop and deliver technical narratives, demonstrations, model evaluations, and integration frameworks for technical and executive audiences.
- Lead technical discovery and own partner and customer relationships through evaluation, deployment, expansion, and commercial conversion.
- Build reusable evaluation frameworks, fine-tuning guides, deployment architectures, API playbooks, and use-case demonstrations.
- Synthesize customer and partner intelligence into feedback for research and product priorities.
- Represent at conferences, workshops, academic forums, and partner events while collaborating with researchers, engineers, and the GTM team.
Requirements
- Deep technical fluency in one or more areas including large language models, multimodal AI, speech and audio synthesis, brain-computer interfaces, neural signal processing, or agentic AI.
- Strong ability to explain complex technical concepts accurately to engineers, researchers, executives, and business decision-makers.
- Experience in a customer-facing or partner-facing technical role such as solutions architecture, applied research, developer relations, or technical business development.
- Ability to identify differentiated commercial value in AI technology and communicate it persuasively in competitive contexts.
- Excellent collaboration skills across research, engineering, and GTM teams.
- Ability to work on-site in San Francisco.
Nice to have
- PhD in machine learning, computer science, neuroscience, or a related field; a Master’s degree with substantial research depth may be considered.
- Research publications or contributions in AI, ML, audio synthesis, BCI, or related fields.
- Experience with benchmarking, rigorous model assessments, production deployment strategies, API-based and on-premises integrations.
- Background in open-source community engagement, developer advocacy, or technical content creation.
- Understanding of enterprise AI adoption and experience using AI tools such as Claude or Cursor.
Culture & Benefits
- Startup speed combined with research-lab rigor, with the opportunity to build and define the function.
- Direct collaboration with researchers, engineers, and founders in a high-energy in-person environment.
- Medical, dental, vision, and FSA plans.
- Competitive compensation, 401(k) plan, unlimited PTO, and company holidays.
- Relocation and immigration support on a case-by-case basis.
- In-office snacks and meals.
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