Solutions Architect, Applied AI (Commercial)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Solutions Architect, Applied AI (Commercial) (AI): Building and deploying innovative LLM solutions for commercial customers with an accent on technical advisory and scalable architecture. Focus on developing prototypes, evaluation frameworks, and reusable blueprints to maximize the value of Claude.
Location: Hybrid (San Francisco, CA or New York City, NY). Must be in office at least 25% of the time.
Salary: $240,000 - $315,000 USD
Company
is a public benefit corporation dedicated to creating reliable, interpretable, and steerable AI systems that are safe and beneficial for society.
What you will do
- Partner with account executives to translate complex customer requirements into technical LLM solutions.
- Serve as the primary technical advisor for customers throughout the Claude adoption journey, from discovery to deployment.
- Build prototypes, proof-of-concepts, and evaluation frameworks using Python to demonstrate Claude's value.
- Create reusable blueprints and enablement assets to scale the implementation of AI solutions across commercial accounts.
- Guide technical architecture decisions for integrating Claude into existing enterprise technology stacks.
- Collaborate with Product and Engineering teams to provide feedback on common integration patterns.
Requirements
- 3+ years of highly technical experience as a software engineer or in a Solutions Architect/Sales Engineer role.
- Strong coding proficiency in Python with a track record of shipping real software.
- Experience designing scalable cloud architectures and integrating with enterprise systems.
- Familiarity with common LLM frameworks, tools, or a background in machine learning/data science.
- Location: Must be based in or able to work from San Francisco, CA or New York City, NY.
- Visa sponsorship is available for eligible candidates.
Culture & Benefits
- Competitive compensation including annual base salary and OTE bonuses.
- Optional equity donation matching and generous vacation and parental leave.
- Flexible working hours and a collaborative "big science" research culture.
- Access to modern office spaces designed for high-impact collaboration.
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