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AI Solution Architect at Gcore. Location Information: Poland,Serbia,Lithuania,Cyprus,Georgia. 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. Benefits:. At Gcore, we want you to do your best work and enjoy the journey. Our benefits are designed to support your growth, well-being, and life beyond work: . Competitive compensation . Flexible working hours and hybrid or remote 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* . Extra paid vacation and sick leave days* . Support for life’s important moments and celebrations . Language courses to help you connect and grow . Modern, welcoming offices with snacks, drinks, and entertainment* . Team sports and social activities* . *Benefits may vary depending on your location. . 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.