Cohere

Solutions Architect

Seoul, South Korea

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Software SolutionsIndustries

Requirements

Candidates should possess 5+ years of customer-facing technical pre/post sales Solutions Architect (or similar) experience, along with 2+ years of architecting or deploying NLP/AI/LLM Solutions. A passion for Generative AI and understanding of LLM strengths and weaknesses is required, as well as comfort working with Python and Jupyter Notebooks. Excellent communication skills, including the ability to present to various audiences and work in ambiguous environments, are also necessary.

Responsibilities

The Solutions Architect at Cohere will develop a deep understanding of customer problems, map them to Cohere solutions, and serve as the trusted technical advisor owning the technical relationship with stakeholders. They will build customer Proof of Concepts, collaborate with stakeholders to translate business objectives into technical solutions, take ownership of the customer narrative, and provide guidance on best practices for using Cohere. Additionally, they will identify areas for improvement within the platform, cultivate technical champions, and work closely with partners to develop strategies for customer adoption and gather feedback to enhance products. The role involves leading technical talks, conducting deep dives, designing enterprise solutions, facilitating customer evaluations, and documenting processes for scaling the solutions architect team.

Skills

Customer Engagement
Technical Pre-Sales
Solution Mapping
Proof of Concept Development
Stakeholder Collaboration
AI/ML Technologies
Technical Relationship Management

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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