Solutions Architect

Department Icon Data Science Analytics & Machine Learning
Posted: 1 year ago
5-7 years
Dubai - United Arab Emirates
Data Science Analytics & Machine Learning
Work from Office
Full Time

Posted: 1 year ago
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Posted over 15 days ago, so the role may have closed. Confirm on the employer's page when you apply, or see similar jobs.

Job Description

  • 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.

  • This career opportunity is a good match for you if you have:
  • 5+ years of 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 LLMs 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)

Skills

PythonKubernetes

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About Company

Cohere is a leading AI company specializing in large language models. They build foundational large language models (LLMs) and provide them as APIs, enabling developers to integrate advanced natural language processing capabilities into their applications.

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