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anthropic

Applied AI Architect, Partnerships

Anthropic is seeking a skilled Applied AI Architect to enhance our presence and services within the European market from our Parisian hub. This role requires deep technical expertise in modern AI systems combined with a consultative mindset for managing key external partnerships. You will be tasked with designing proofs-of-concept (PoCs) that demonstrate how Anthropic's models can solve complex, real-world business problems for partners. Responsibilities include architecting multi-layered applications using LLMs, advising partners on best practices for AI adoption, and ensuring the resulting solutions are scalable, secure, and maintainable within their operational environment. A mix of technical depth and client-facing communication skills is paramount for success.

anthropic Paris, France, France

(تازہ ترین نوکریاں، سلیبس اور ٹیسٹ کی تیاری کی مکمل معلومات)

يتحضرون الآن

1850

مجموعة الأسئلة

180

المدة

Permanent

مجالات التركيز

AI ArchitecturePartnership DevelopmentLarge Language ModelsSystem Design

People Also Ask (FAQs)

What is the last date to apply for Applied AI Architect, Partnerships?

The closing date is listed in the official advertisement — apply as early as possible.

How do I apply for Applied AI Architect, Partnerships?

Use the official apply link on this page to submit your application. A step-by-step how-to-apply guide for this job is also linked below.

Is there negative marking in the anthropic test?

The marking rule is announced per test in the advertisement and roll-number-slip instructions. Many MCQ screening tests have no negative marking, but always verify it for your specific test.

What is the passing marks for this test?

The official passing marks are generally 50%, but merit is competitive — scoring above 75% is a safer target to secure an interview call.

How can I prepare for the Applied AI Architect, Partnerships test?

Prepare with the free subject-wise MCQs, past papers and timed mock tests on PrepPro Academy — every question includes the answer with an explanation. Focus areas: AI Architecture, Partnership Development, Large Language Models, System Design.

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