AI Solution Architect
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The world’s digital experiences run on something invisible: the infrastructure and software that keep them fast, reliable, and secure. At Gcore, you’ll help design and deliver that foundation for an AI-driven world.
We’re a global provider of infrastructure and software solutions for AI, cloud, network, and security, powering everything from real-time communication and streaming to enterprise AI and secure web applications. With 210+ edge locations, 50+ cloud regions, and thousands of GPUs, your work here can reach users and businesses across the globe.
You’ll collaborate with leading technology partners such as Intel, NVIDIA, Dell, and Equinix, and work on platforms that power digital products used around the world. Our vision is simple: to connect the world to AI, anywhere, anytime.
Want to work on technology that goes beyond a single product or industry? Join a global team of 550+ professionals building infrastructure and software that supports the entire digital ecosystem.
Job Description
As an AI Solution Architect at Gcore, you will serve as a trusted advisor to our AI-focused customers. You'll collaborate closely with clients to design and deploy large-scale GPU clusters, containerized training pipelines, and production inference systems. Your expertise in automation, infrastructure as code, and orchestration will ensure seamless, repeatable deployments across hundreds to thousands of GPUs Your Responsibilities
Architect & Deploy: Design end-to-end GPU cluster architectures (on-premises and cloud) using Ansible, Terraform, Kubernetes, and Slurm.
Customer Engagement: Lead technical deep-dives, conduct workshops, and present solutions to stakeholders at all levels.
Automation & IaC: Build and maintain Infrastructure as Code modules to automate provisioning, scaling, and monitoring of GPU resources.
Documentation & Enablement: Produce whitepapers, runbooks, and training materials; host webinars and training sessions.
Feedback Loop: Partner with Gcore's engineering and product teams to relay customer insights and drive product enhancements.
Qualifications
What We're Looking For
Experience: 3+ years in Cloud or GPU AI Infrastructure DevOps.
Infrastructure Skills: Proven track record deploying GPU clusters at scale, including multi-node, multi-GPU setups.
Automation Expertise: Hands-on with Ansible or similar configuration management tools; Terraform (IaC).
Orchestration & Scheduling: Strong familiarity with Kubernetes (K8s) and Slurm.
Programming: Proficient in Python / Go.
ML Proficiency: Solid understanding of ML ecosystems—models, tooling, and production deployment patterns.
Communication: Excellent verbal and written skills; ability to translate complex technical concepts for diverse audiences.
Nice-to-Haves
Experience deploying high-availability inference infrastructure for production AI workloads.
ML Ops Pipelines: Implement and optimize distributed training and inference pipelines with MLflow, REST APIs, and popular frameworks (PyTorch, TensorFlow, JAX).
Demonstrated ability to transition ML pipelines from proof-of-concept to robust, scalable production systems.
Familiarity with GitOps workflows, Docker, Helm charts, and CI/CD for ML.
Knowledge of Hugging Face transformers, Scikit-learn, and experiment tracking best practices.
Additional Information
What We Offer:
We value our employees and offer a benefits package designed to support your health, well-being, and professional growth throughout your journey at Gcore:
Competitive salary
Flexible working hours
Remote, hybrid, or office work options depending on your role
Work from anywhere in the world for up to 45 days per year
Private medical insurance for you and your family*
5 additional vacation days*
Additional fully paid sick leave days*
Allowance for significant life events and birthdays
Language classes
Modern office space with free snacks, drink and entertainment options*
Team sports activities*
*Please be aware that this benefit may vary depending on your country.
About the Company Gcore is an international cloud and edge leader in providing first-class web performance, content delivery, and security. Headquartered in Luxembourg, with offices around the world, the company provides its solutions to global leaders in numerous industries. Millions of people worldwide use apps and play games based on our infrastructure and services: we are trusted by World of Tanks, Albion Online, Avast, Photon, Unity, Sandbox Interactive, and others. Equal Opportunity Employer We provide equal opportunity to all applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity, gender expression, national origin, disability, or any other legally protected characteristics.
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AI Solution Architect
Company Description
The world’s digital experiences run on something invisible: the infrastructure and software that keep them fast, reliable, and secure. At Gcore, you’ll help design and deliver that foundation for an AI-driven world.
We’re a global provider of infrastructure and software solutions for AI, cloud, network, and security, powering everything from real-time communication and streaming to enterprise AI and secure web applications. With 210+ edge locations, 50+ cloud regions, and thousands of GPUs, your work here can reach users and businesses across the globe.
You’ll collaborate with leading technology partners such as Intel, NVIDIA, Dell, and Equinix, and work on platforms that power digital products used around the world. Our vision is simple: to connect the world to AI, anywhere, anytime.
Want to work on technology that goes beyond a single product or industry? Join a global team of 550+ professionals building infrastructure and software that supports the entire digital ecosystem.
Job Description
As an AI Solution Architect at Gcore, you will serve as a trusted advisor to our AI-focused customers. You'll collaborate closely with clients to design and deploy large-scale GPU clusters, containerized training pipelines, and production inference systems. Your expertise in automation, infrastructure as code, and orchestration will ensure seamless, repeatable deployments across hundreds to thousands of GPUs Your Responsibilities
Architect & Deploy: Design end-to-end GPU cluster architectures (on-premises and cloud) using Ansible, Terraform, Kubernetes, and Slurm.
Customer Engagement: Lead technical deep-dives, conduct workshops, and present solutions to stakeholders at all levels.
Automation & IaC: Build and maintain Infrastructure as Code modules to automate provisioning, scaling, and monitoring of GPU resources.
Documentation & Enablement: Produce whitepapers, runbooks, and training materials; host webinars and training sessions.
Feedback Loop: Partner with Gcore's engineering and product teams to relay customer insights and drive product enhancements.
Qualifications
What We're Looking For
Experience: 3+ years in Cloud or GPU AI Infrastructure DevOps.
Infrastructure Skills: Proven track record deploying GPU clusters at scale, including multi-node, multi-GPU setups.
Automation Expertise: Hands-on with Ansible or similar configuration management tools; Terraform (IaC).
Orchestration & Scheduling: Strong familiarity with Kubernetes (K8s) and Slurm.
Programming: Proficient in Python / Go.
ML Proficiency: Solid understanding of ML ecosystems—models, tooling, and production deployment patterns.
Communication: Excellent verbal and written skills; ability to translate complex technical concepts for diverse audiences.
Nice-to-Haves
Experience deploying high-availability inference infrastructure for production AI workloads.
ML Ops Pipelines: Implement and optimize distributed training and inference pipelines with MLflow, REST APIs, and popular frameworks (PyTorch, TensorFlow, JAX).
Demonstrated ability to transition ML pipelines from proof-of-concept to robust, scalable production systems.
Familiarity with GitOps workflows, Docker, Helm charts, and CI/CD for ML.
Knowledge of Hugging Face transformers, Scikit-learn, and experiment tracking best practices.
Additional Information
What We Offer:
We value our employees and offer a benefits package designed to support your health, well-being, and professional growth throughout your journey at Gcore:
Competitive salary
Flexible working hours
Remote, hybrid, or office work options depending on your role
Work from anywhere in the world for up to 45 days per year
Private medical insurance for you and your family*
5 additional vacation days*
Additional fully paid sick leave days*
Allowance for significant life events and birthdays
Language classes
Modern office space with free snacks, drink and entertainment options*
Team sports activities*
*Please be aware that this benefit may vary depending on your country.
About the Company Gcore is an international cloud and edge leader in providing first-class web performance, content delivery, and security. Headquartered in Luxembourg, with offices around the world, the company provides its solutions to global leaders in numerous industries. Millions of people worldwide use apps and play games based on our infrastructure and services: we are trusted by World of Tanks, Albion Online, Avast, Photon, Unity, Sandbox Interactive, and others. Equal Opportunity Employer We provide equal opportunity to all applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity, gender expression, national origin, disability, or any other legally protected characteristics.
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