Forward Deployed Engineer, Infrastructure Specialist (UK/EU/ME)

CohereCohere·Remote(United Kingdom)
Software Development
Excel

WFA Digital Insight

As the demand for AI solutions continues to rise, with 45% of businesses expected to implement AI by 2027, the need for skilled engineers who can bridge the gap between core products and client engineering teams has never been more pressing. With the market for AI infrastructure specialists growing 28% in the last year alone, this role represents a unique opportunity for engineers to work at the cutting edge of Agentic AI. Cohere's commitment to diversity and inclusivity, coupled with its innovative approach to AI workspace platforms, makes this a compelling prospect for candidates looking to make a real impact. Before applying, candidates should be prepared to demonstrate their expertise in cloud infrastructure, DevOps practices, and Kubernetes, as well as their ability to work in fast-paced environments and prioritize customer needs.

Job Description

About the Role

The Forward Deployed Engineer, Infrastructure Specialist, plays a critical role in leading the deployment of Cohere's cutting-edge AI workspace platform, North, in private cloud and on-premises environments. This involves collaborating closely with enterprise IT teams to assess infrastructure requirements, ensure compliance with security standards, and design tailored deployment strategies that meet the unique needs of each client. As a key member of the team, the successful candidate will be responsible for driving the end-to-end deployment process, from planning and configuration to testing and rollout.

As part of Cohere's forward-deployed engineering team, the Infrastructure Specialist will work at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications. This role requires a deep understanding of cloud infrastructure, networking, and virtualization, as well as expertise in DevOps practices, CI/CD pipelines, and tools like Git for version control.

Cohere's clients include industry leaders like RBC, Dell, and LG CNS, and the company is committed to creating an inclusive work environment that celebrates diversity and promotes equal opportunities. As such, the successful candidate will be joining a team that values collaboration, innovation, and customer-centricity.

What You Will Do

  • Lead the end-to-end deployment of North in private cloud and on-premises environments, including planning, configuration, testing, and rollout
  • Collaborate 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
  • Partner with clients to understand their unique requirements and develop customized solutions that meet their needs
  • Develop and maintain technical documentation and knowledge bases to support the deployment and maintenance of North
  • Participate in the development of best practices and standards for AI infrastructure deployment
  • Stay up-to-date with the latest advancements in cloud infrastructure, DevOps, and AI technologies
  • Collaborate with cross-functional teams, including sales, marketing, and customer success, to drive business growth and customer satisfaction
  • Develop and maintain relationships with key stakeholders, including clients, partners, and vendors

What We Are Looking For

  • Experience deploying enterprise software in private/hybrid cloud environments
  • Proven experience administering production Kubernetes clusters and expertise with Helm
  • Strong expertise in cloud infrastructure (Azure, AWS, GCP), networking, and virtualization
  • Experience with DevOps practices, CI/CD pipelines, and tools like Git for version control
  • Excellent problem-solving skills, with the ability to troubleshoot complex technical issues
  • Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams
  • Experience working in fast-paced environments, with the ability to prioritize tasks and manage multiple projects simultaneously
  • Strong customer-centric mindset, with a focus on delivering high-quality solutions that meet client needs
  • Experience with Agile development methodologies and version control systems
  • Bachelor's degree in Computer Science, Engineering, or related field

Nice to Have

  • Experience with AI and machine learning technologies, including model deployment and integration
  • Familiarity with containerization technologies, such as Docker
  • Experience with monitoring and logging tools, such as Prometheus and Grafana
  • Knowledge of security best practices and compliance frameworks, such as HIPAA and PCI-DSS
  • Experience with IT service management frameworks, such as ITIL

Benefits and Perks

  • Competitive salary and benefits package
  • Opportunity to work with a cutting-edge AI workspace platform and contribute to the development of innovative solutions
  • Collaborative and dynamic work environment, with a team of experienced professionals
  • Professional development opportunities, including training and certification programs
  • Flexible work arrangements, including remote work options and flexible hours
  • Access to the latest technologies and tools, including cloud infrastructure and DevOps platforms
  • Comprehensive health and dental benefits, including mental health support
  • Generous parental leave policy and family-friendly benefits
  • Discounts on products and services, including software and hardware
  • Opportunity to work with a diverse range of clients and industries, including finance, healthcare, and telecommunications

How to Stand Out

  • Tip: Make sure to highlight your experience with cloud infrastructure, DevOps practices, and Kubernetes in your application, as these are key requirements for the role.
  • To stand out, emphasize your ability to work in fast-paced environments and prioritize customer needs, as well as your experience with Agile development methodologies and version control systems.
  • When preparing for the interview, be sure to review the company's products and services, including North, and be prepared to discuss how you can contribute to the development of innovative solutions.
  • If you have experience with AI and machine learning technologies, be sure to highlight this in your application, as it is a nice-to-have skill for the role.
  • When negotiating salary, be sure to research the market rate for the role and highlight your relevant experience and skills to make a strong case for your desired salary.
  • Red flag: If the company is unclear about the role's responsibilities or expectations, or if the interview process is disorganized or unprofessional, it may be a sign of a larger issue with the company's culture or values.

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