Solutions Architect

Tokyo, Japan

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, BiotechnologyIndustries

Requirements

Candidates should have 5+ years of customer-facing technical pre/post sales Solutions Architect experience, with at least 2 years architecting or deploying NLP/AI/LLM solutions. A passion for Generative AI and an understanding of its strengths and weaknesses are essential, along with proficiency in Python and Jupyter Notebooks. Excellent communication skills and a high tolerance for ambiguity are required. Preferred qualifications include experience managing Kubernetes clusters, familiarity with networking concepts, and knowledge of authentication protocols like SAML and OAuth.

Responsibilities

The Solutions Architect will develop a deep understanding of customer problems and map them to Cohere solutions, acting as the trusted technical advisor for stakeholders. Responsibilities include increasing the adoption of Cohere products, gathering customer feedback to shape product development, and building customer Proof of Concepts to showcase platform value. The role involves translating business objectives into technical solutions, owning the customer narrative, and liaising between customers and the product team. Additionally, the Solutions Architect will provide guidance on best practices, identify platform improvements, cultivate technical champions, and collaborate with Product and Engineering teams to ensure offerings meet customer needs. They will also work with partners to enable and accelerate their customers.

Skills

AI systems

Content generation

Semantic search

RAG

Agents

Technical pre-sales

Post-sales

Customer problem understanding

Mapping to solutions

Technical advisor

Technical relationship ownership

Product adoption

Customer feedback

Strategic thinking

Hands-on implementation

Proof of Concepts (POCs)

Business value demonstration

Stakeholder collaboration

Business objectives translation

Technical solutions development

Cohere

Provides NLP tools and LLMs via API

About Cohere

Cohere provides advanced Natural Language Processing (NLP) tools and Large Language Models (LLMs) through a user-friendly API. Their services cater to a wide range of clients, including businesses that want to improve their content generation, summarization, and search functions. Cohere's business model focuses on offering scalable and affordable generative AI tools, generating revenue by granting API access to pre-trained models that can handle tasks like text classification, sentiment analysis, and semantic search in multiple languages. The platform is customizable, enabling businesses to create smarter and faster solutions. With multilingual support, Cohere effectively addresses language barriers, making it suitable for international use.

Toronto, CanadaHeadquarters

2019Year Founded

$914.4MTotal Funding

SERIES_DCompany Stage

AI & Machine LearningIndustries

501-1,000Employees

Risks

Competitors like Google and Microsoft may overshadow Cohere with seamless enterprise system integration.

Reliance on Nvidia chips poses risks if supply chain issues arise or strategic focus shifts.

High cost of AI data center could strain financial resources if government funding is delayed.

Differentiation

Cohere's North platform outperforms Microsoft Copilot and Google Vertex AI in enterprise functions.

Rerank 3.5 model processes queries in over 100 languages, enhancing multilingual search capabilities.

Command R7B model excels in RAG, math, and coding, outperforming competitors like Google's Gemma.

Upsides

Cohere's AI data center project positions it as a key player in Canadian AI.

North platform offers secure AI deployment for regulated industries, enhancing privacy-focused enterprise solutions.

Cohere's multilingual support breaks language barriers, expanding its global market reach.

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