Forward Deployed Engineer, Infrastructure Specialist
WFA Digital Insight
As the demand for AI-powered solutions continues to grow, with over 70% of enterprises expected to adopt AI by 2027, the need for skilled engineers who can deploy and manage these systems is skyrocketing. With a 25% increase in job postings for AI engineers in the past year, this role is an exciting opportunity for those with a passion for innovation and customer-centricity. Cohere, a pioneer in AI research and development, is looking for a Forward Deployed Engineer to join their team. With the company's commitment to diversity and inclusivity, and a range of exciting projects and clients, this role is perfect for someone looking to make a real impact in the industry. Before applying, candidates should be aware that this role requires a unique blend of technical expertise, business acumen, and communication skills.
Job Description
About the Role
As a Forward Deployed Engineer, Infrastructure Specialist at Cohere, you will be at the forefront of deploying cutting-edge AI solutions for clients across various industries. Your primary focus will be on leading end-to-end deployments of Cohere's North platform in private cloud and on-premises environments, ensuring seamless integration with existing workflows and compliance with data privacy and security standards. You will be working closely with enterprise IT teams to assess infrastructure, security requirements, and data management practices, and designing and implementing deployment strategies tailored to client needs.The role is part of Cohere's North team, which is revolutionizing the way enterprises utilize AI. As a member of this team, you will have the opportunity to work with a range of clients, from finance to healthcare, and help them harness the power of AI to drive business success.
What You Will Do
- Lead the planning, configuration, testing, and rollout of North deployments in private cloud and on-premises environments
- 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
- Experiment at a high velocity and with a high level of quality to engage customers and deliver solutions that exceed their expectations
- Collaborate with cross-functional teams, including engineering, sales, and customer success, to ensure successful deployments and customer satisfaction
- Develop and maintain technical documentation for deployments, including architecture diagrams and deployment guides
- Stay up-to-date with the latest developments in AI, cloud infrastructure, and DevOps practices, and apply this knowledge to improve deployment processes and strategies
- Work closely with clients to understand their business needs and develop tailored solutions to meet those needs
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
- Familiarity with DevOps practices, CI/CD pipelines, and tools like Git for version control
- Experience working directly with customers and understanding their business needs
- Strong communication and interpersonal skills, with the ability to work effectively with cross-functional teams
- Experience with Excel and data analysis
- Ability to work in a fast-paced environment and execute while priorities and objectives are a moving target
Nice to Have
- Experience with AI-powered solutions and machine learning
- Knowledge of security and compliance frameworks, such as HIPAA or PCI-DSS
- Experience with agile development methodologies and version control systems
- Certification in cloud infrastructure or DevOps practices
Benefits and Perks
- Competitive salary and benefits package
- Opportunity to work with a range of clients across various industries
- Collaborative and dynamic work environment
- Professional development opportunities, including training and conference attendance
- Flexible work arrangements, including remote work options
- Access to cutting-edge technology and tools
- Comprehensive health and dental benefits, including a separate budget for mental health support
- Weekly lunch stipend, in-office lunches, and snacks
- Full-time employees enjoy an open and inclusive culture and work environment
- Work closely with a team on the cutting edge of AI research
How to Stand Out
- Tip: Make sure to highlight your experience with cloud infrastructure, DevOps practices, and AI-powered solutions in your application, as these are key requirements for the role.
- When preparing for interviews, practice explaining complex technical concepts in simple terms, as this is a key skill for success in this role.
- Be prepared to provide specific examples of your experience working with clients and understanding their business needs, as this is a critical aspect of the role.
- Consider creating a portfolio that showcases your experience with deployment strategies and technical documentation, as this can be a valuable asset in the application process.
- Don't be afraid to ask questions during the interview process, such as what a typical day looks like in the role or what the biggest challenges are that the team is currently facing.
- Be prepared to negotiate salary and benefits, and do your research on the market rate for the role to ensure you are getting a fair deal.
This is a remote position listed on WFA Digital, the platform for professionals who work from anywhere. Browse more remote jobs across all categories.