Forward Deployed Engineer, Infrastructure Specialist
Infrastructure Specialist · Senior · Full Time · Remote
Opens Cohere's application page
Role
What you'll do.
A Forward Deployed Engineer role at Cohere focused on deploying North, the company's AI workspace platform, in enterprise environments. The position requires expertise in infrastructure deployment, cloud technologies, and customer-facing technical implementations across critical industries like finance and healthcare.
Responsibilities
- Enterprise Deployment: Lead end-to-end deployment of North platform in private cloud and on-premises environments, including comprehensive planning, configuration, testing, and rollout strategies
- Infrastructure Assessment: Collaborate with enterprise IT teams to evaluate infrastructure, security requirements, and data management practices for seamless AI platform integration
- Deployment Strategy: Design and implement customized deployment approaches that ensure compliance with data privacy and security standards across diverse enterprise environments
- Technical Troubleshooting: Diagnose and resolve deployment-related technical challenges, providing rapid solutions to minimize operational disruptions
Qualifications
What we look for.
Technical
Kubernetes Administration
Proven experience administering production Kubernetes clusters with advanced Helm deployment capabilities
Cloud Infrastructure
Expert-level knowledge of cloud platforms including Azure, AWS, and Google Cloud Platform (GCP)
DevOps Practices
Strong understanding of DevOps methodologies, CI/CD pipelines, and version control using Git
Education
Computer Science/Engineering
Bachelor's or Master's degree in Computer Science, Software Engineering, or related technical discipline preferred
Experience
Enterprise Software Deployment
Minimum 5+ years of experience deploying enterprise software in private and hybrid cloud environments
Customer Engagement
Demonstrated track record of successful customer-facing technical implementations and support
Skills
Required
Cloud Infrastructure
Expertise in Azure, AWS, and GCP cloud platforms
Kubernetes
Production-level Kubernetes cluster administration and Helm deployment
DevOps
Advanced CI/CD pipeline management and Git version control
Preferred
AI Infrastructure
Nice to haveExperience with AI platform deployments and enterprise AI integration
Security Compliance
Nice to haveBackground in implementing data privacy and security standards in enterprise environments
Tech stack
Languages
Frameworks
Databases
Tools
Other
Compensation
Pay and benefits.
Base·USD 120,000 – 180,000
Equity·Stock options
Benefits
Health Benefits
Comprehensive health and dental coverage with additional mental health budget
Parental Leave
100% salary top-up for up to 6 months of parental leave
Personal Enrichment
Stipends for arts, culture, fitness, well-being, and workspace improvements
Vacation
6 weeks (30 working days) of annual vacation time
Remote Flexibility
Remote-friendly work arrangement with co-working stipend and global office locations
Process
Interview steps.
- 01
Initial Screening
Phone or video call with recruiting team to assess background and initial fit
- 02
Technical Interview
In-depth discussion of cloud infrastructure, Kubernetes, and deployment experience with technical team members
- 03
Infrastructure Design Challenge
Practical assessment involving designing an enterprise AI platform deployment strategy
- 04
Final Interview
Meeting with hiring manager and potential team members to evaluate cultural fit and strategic alignment
Full posting
Original listing.
Who are we?
Our mission is to scale intelligence to serve humanity. We’re 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 what’s 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!
About North:
North is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications.
Why This Role?
This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications. Our esteemed clients include industry leaders like RBC, Dell, and LG CNS.
We are seeking engineers who deeply care about customers and want to work at the cutting edge of Agentic AI.
Note: between 20 - 40% travel anticipated
In this role, you will:
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.
Experiment at a high velocity and with a high level of quality to engage our customers and ultimately deliver solutions that exceed their expectations
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.
You may be a good fit if:
You have experience with and enjoy working directly with customers
You have experience deploying enterprise software in private/hybrid cloud environments
You have proven experience administering production Kubernetes clusters and expertise with Helm
Familiarity with DevOps practices, CI/CD pipelines, and tools like Git for version control
You have strong expertise in cloud infrastructure (Azure, AWS, GCP), networking, and virtualization
You excel in fast-paced environments and can execute while priorities and objectives are a moving target
If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply!
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 up to 6 months
🎨 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, London and Paris, as well as a co-working stipend
✈️ 6 weeks of vacation (30 working days!)
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