Forward Deployed Engineer, Infrastructure Specialist (UK/EU/ME)
Infrastructure Specialist · Senior · Full Time · Remote
Opens Cohere's application page
Role
What you'll do.
Cohere is seeking a Forward Deployed Engineer specializing in Infrastructure to lead enterprise AI deployment for their North platform. The ideal candidate will work closely with enterprise clients to implement secure, customized AI solutions in complex cloud environments, bridging advanced AI technology with real-world enterprise needs.
Responsibilities
- Enterprise AI Deployment: Lead end-to-end deployment of North platform in private cloud and on-premises environments, including comprehensive planning, configuration, testing, and rollout strategies.
- Client Infrastructure Assessment: Partner with enterprise IT teams to evaluate infrastructure requirements, security protocols, and data management practices for AI integration.
- Deployment Strategy Development: Design and implement customized deployment approaches that ensure compliance with data privacy and security standards across diverse enterprise environments.
- Technical Troubleshooting: Diagnose and resolve complex deployment-related technical challenges, providing rapid solutions to minimize operational disruptions.
- Customer Engagement: Collaborate directly with enterprise clients to understand their unique AI integration needs and deliver solutions that exceed expectations.
Qualifications
What we look for.
Technical
Kubernetes Administration
Proven experience administering production Kubernetes clusters with advanced configuration capabilities
Cloud Infrastructure
Deep expertise in cloud platforms including Azure, AWS, and Google Cloud Platform (GCP)
DevOps Practices
Strong understanding of CI/CD pipelines, version control with Git, and infrastructure-as-code principles
Networking
Advanced knowledge of enterprise networking, virtualization, and secure infrastructure deployment
Education
Computer Science/Engineering Degree
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-Facing Technical Roles
Proven track record of working directly with enterprise clients in technical deployment capacities
Skills
Required
Kubernetes
Advanced configuration and administration of Kubernetes clusters
Cloud Infrastructure
Hands-on experience with multi-cloud deployments and infrastructure management
DevOps
Implementing and managing CI/CD pipelines and infrastructure-as-code
Enterprise Software Deployment
Experience with complex, secure software rollouts in enterprise environments
Preferred
AI Infrastructure
Nice to havePrior experience with AI platform deployments and specialized infrastructure requirements
Helm
Nice to haveAdvanced Helm chart development and management for Kubernetes deployments
Security Compliance
Nice to haveDeep understanding of enterprise security standards and data privacy regulations
Tech stack
Languages
Frameworks
Databases
Tools
Other
Compensation
Pay and benefits.
Base·GBP 110,000 – 160,000
Equity·Stock options
Benefits
Health Coverage
Comprehensive health and dental benefits with additional mental health budget
Parental Leave
100% salary top-up for up to 6 months of parental leave
Enrichment Benefits
Personal development budget for arts, culture, fitness, and workspace improvements
Vacation
6 weeks of annual vacation (30 working days)
Remote Flexibility
Remote-flexible work arrangement with co-working stipend
Lunch Benefits
Weekly lunch stipend and in-office meals and snacks
Process
Interview steps.
- 01
Initial Screening
Introductory call with recruiting team to discuss background and role alignment
- 02
Technical Assessment
Comprehensive technical evaluation of infrastructure and cloud deployment expertise
- 03
Client Scenario Interview
Problem-solving interview focused on enterprise deployment challenges and client interaction skills
- 04
Team Interviews
Multiple interviews with engineering team members to assess technical capabilities and cultural fit
- 05
Final Leadership Interview
Discussion with senior leadership to align on long-term potential and strategic contributions
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.
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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