Solutions Architect (Canadian Public Sector) at Cohere

Ottawa, Ontario, Canada

Cohere Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Public Sector, GovernmentIndustries

Requirements

  • Security Clearance is highly preferred
  • 5+ years of Canadian public sector customer-facing technical pre/post sales Solutions Architect (or similar) experience
  • 2+ years architecting or deploying NLP/AI/LLM Solutions
  • A passion for Generative AI, and an understanding of strengths and weaknesses of Generative LLM's and AI technologies
  • Comfortable working with Python and Jupyter Notebooks
  • Excellent communication skills - you can toggle seamlessly between presenting to CEOs, and getting in the weeds or white boarding with technical audiences
  • High tolerance for ambiguity
  • You can identify and implement high-impact processes in unstructured environments
  • Preferred: Experience managing Kubernetes clusters
  • Preferred: Experience with networking (firewalls, DNS, cert management, etc)
  • Preferred: Familiarity with authentication protocols/frameworks (SAML, OAuth, etc)

Responsibilities

  • Developing a deep understanding of customer problems, mapping them to Cohere solutions, and working closely with our partners as the trusted technical advisor who owns the technical relationship with our stakeholders
  • Leveraging your expertise to help increase the adoption of Cohere products, both internally and externally, and gathering valuable insights and feedback from customers to help shape the future of our products
  • Taking a hands-on approach to building customer Proof of Concepts that showcase the business value of our platform
  • Collaborating with stakeholders to understand their business objectives and translate those into technical solutions
  • Taking ownership of the customer narrative, serving as the voice of the customer and acting as a liaison between the customer and our product team
  • Providing guidance on best practices for using Cohere, identifying areas for improvement within the platform, and cultivating technical champions within customer organizations to drive adoption and gather feedback to enhance our products
  • Leading the technical talk track on customer calls
  • Deep dives on customer problems and Cohere technology
  • Designing novel enterprise solutions with bleeding-edge NLP technology
  • Facilitating customer evaluations and PoC’s
  • Developing and documenting processes to enable the solutions architect team to scale effectively within Cohere
  • Collaborating with the Product and Engineering teams to ensure our offering matches the customers’ needs
  • Working closely with our partners to develop a strategy for enabling and accelerating their customers

Skills

RAG
Semantic Search
AI Agents
Content Generation
Proof of Concepts
Pre-Sales
Solutions Architecture
Machine Learning
Large Language Models

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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