Forward Deployed Engineer, Infrastructure Specialist (North America)

Infrastructure Engineer · Senior · Full Time

TorontoCAD 130k – 180k11mo ago
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Role

What you'll do.

Cohere is seeking a Forward Deployed Engineer specializing in Infrastructure to lead enterprise AI platform deployments for North, their cutting-edge AI workspace solution. The ideal candidate will work directly with enterprise clients to seamlessly integrate AI technologies in secure, complex cloud environments, bridging technical implementation and customer success.

Responsibilities

  • Enterprise Deployment: Lead end-to-end deployment of North AI platform in private cloud and on-premises environments
  • Infrastructure Assessment: Partner with enterprise IT teams to evaluate infrastructure, security requirements, and data management practices
  • Deployment Strategy: Design and implement customized deployment strategies tailored to specific client needs
  • Technical Support: Troubleshoot and resolve deployment-related technical issues with minimal client downtime
  • Customer Engagement: Work closely with enterprise clients to ensure successful AI platform integration

Qualifications

What we look for.

Technical

  • Cloud Infrastructure

    Advanced expertise in Azure, AWS, or GCP cloud platforms

  • Kubernetes Administration

    Proven experience managing production Kubernetes clusters

  • DevOps Practices

    Strong understanding of CI/CD pipelines and automation

Education

  • Computer Science

    Bachelor's degree in Computer Science, Software Engineering, or related technical field

  • Cloud Certifications

    Professional cloud certifications from AWS, Azure, or GCP preferred

Experience

  • Enterprise Software

    5+ years of experience deploying enterprise software in complex cloud environments

  • Customer Engagement

    Demonstrated history of successful customer-facing technical roles

Skills

Required

  • Kubernetes

    Production cluster administration and deployment expertise

  • Cloud Infrastructure

    Strong experience with Azure, AWS, or GCP cloud platforms

  • DevOps

    Advanced CI/CD pipeline and deployment strategy implementation

  • Helm

    Proficient in Kubernetes package management and chart development

  • Enterprise Software Deployment

    Experience with complex, secure software rollouts in private and hybrid cloud environments

Preferred

  • AI Infrastructure

    Nice to have

    Prior experience with AI platform deployments

  • Enterprise Networking

    Nice to have

    Deep understanding of enterprise network architectures

  • Data Privacy

    Nice to have

    Familiarity with industry-standard security and compliance frameworks

Tech stack

Languages

PythonBash

Frameworks

KubernetesHelm

Databases

PostgreSQLMongoDB

Tools

GitDockerTerraform

Other

CI/CDCloud Native

Compensation

Pay and benefits.

Base·CAD 130,000 – 180,000

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

  • Vacation

    6 weeks of annual vacation (30 working days)

  • Personal Enrichment

    Stipends for arts, culture, fitness, and workspace improvement

  • Work Flexibility

    Remote-flexible work with hybrid options and co-working stipend

  • Lunch Benefits

    Weekly lunch stipend and in-office meals

Process

Interview steps.

  1. 01

    Initial Screening

    HR phone screen to assess basic qualifications and role fit

  2. 02

    Technical Assessment

    Online coding and infrastructure design challenge

  3. 03

    Technical Interview

    In-depth discussion of cloud infrastructure, Kubernetes, and deployment strategies

  4. 04

    Customer Engagement Interview

    Assessment of communication skills and customer interaction capabilities

  5. 05

    Final Leadership Interview

    Meeting with senior technical leadership to evaluate strategic thinking and cultural 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.

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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