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Who are we
Our mission is to scale intelligence to serve humanity. Were training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation semantic search RAG and agents. We believe that our work is instrumental to the widespread adoption of AI.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do whats best for our customers.
Cohere is a team of researchers engineers designers and more who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
Join us on our mission and shape the future!
Job Description:
We are seeking a highly skilled and experienced Enterprise Deployment Specialist to lead the implementation and deployment of our secure AI platform North within enterprise organizations environments. This role is crucial in ensuring a seamless and impactful integration of North enabling our clients to leverage its capabilities effectively.
Responsibilities:
Lead end-to-end deployment of North in private cloud and on-premises environments including planning configuration testing and rollout.
Partner with enterprise IT teams to assess infrastructure security requirements and data management practices.
Design and implement deployment strategies tailored to client needs ensuring compliance with data privacy and security standards.
Troubleshoot and resolve deployment-related technical issues providing timely solutions to minimize downtime.
Develop training materials and conduct sessions to empower users to adopt Norths capabilities effectively.
Requirements:
3 years of experience deploying enterprise software in private/hybrid cloud environments.
Strong expertise in cloud infrastructure (Azure AWS GCP) networking and virtualization.
Proven experience administering production Kubernetes clusters and expertise with Helm.
Familiarity with DevOps practices CI/CD pipelines and tools like Git for version control.
Excellent problem-solving skills attention to detail and ability to collaborate with cross-functional teams.
The ideal candidate will have a track record of successful enterprise-level deployments demonstrating the ability to manage complex projects and deliver impactful results. They should be adaptable detail-oriented and passionate about leveraging AI to drive organizational success.
Note: This role requires a deep understanding of both AI technologies and enterprise IT infrastructure ensuring a seamless integration of North into diverse organizational environments.
If some of the above doesnt line up perfectly with your experience we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing Cohere is the place for you.
We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process please submit an Accommodations Request Form and we will work together to meet your needs.
Full-Time Employees at Cohere enjoy these Perks:
An open and inclusive culture and work environment
Work closely with a team on the cutting edge of AI research
Weekly lunch stipend in-office lunches & snacks
Full health and dental benefits including a separate budget to take care of your mental health
100% Parental Leave top-up for 6 months for employees based in Canada the US and the UK
Personal enrichment benefits towards arts and culture fitness and well-being quality time and workspace improvement
Remote-flexible offices in Toronto New York San Francisco and London and co-working stipend
6 weeks of vacation
Note: This post is co-authored by both Cohere humans and Cohere technology.
Required Experience:
Unclear Seniority
Full-Time