Infrastructure Architect

Project Role : Infrastructure Architect Project Role Description : Lead the definition, design and documentation of technical environments. Deploy solution architectures, conduct analysis of alternative architectures, create architectural standards, define processes to ensure conformance with standards, institute solution-testing criteria, define a solutions cost of ownership, and promote a clear and consistent business vision through technical architectures. Must have skills : Infrastructure Automation Good to have skills : NA Minimum 12 year(s) of experience is required Educational Qualification : 15 years full time education

Summary: As an Infrastructure Architect, a typical day involves leading the design and documentation of complex technical environments that support organizational goals. This role requires deploying solution architectures and evaluating various architectural alternatives to determine the most effective approach. The professional ensures that architectural standards are clearly defined and adhered to, while establishing processes that maintain consistency and quality across projects. Additionally, the role includes setting criteria for solution testing and assessing the total cost of ownership for proposed solutions. Throughout the day, the Infrastructure Architect works to align technical strategies with the broader business vision, fostering clarity and coherence in architectural decisions.

Key Responsibilities

Design and implement HPC and AI infrastructure solutions, aligning system architecture and deployment roadmaps to industry-specific performance and scalability needs Deploy, configure, and manage XPU-based clusters (CPU/GPU/accelerators) using schedulers, VM/K8s orchestration platforms, Slurm, and containerized platforms in scalable designs to provide Metal as a Service (MaaS), GPUaaS, AIaaS, and other offerings Optimize cluster performance, scalability, energy, and cost efficiency across on-premises, cloud, and hybrid environments Integrate AI and HPC platforms with existing IT systems, data pipelines, and security frameworks Monitor, troubleshoot, and tune infrastructure to ensure high availability, low-latency networking, and workload resiliency Develop and maintain documentation including architecture diagrams, configuration baselines, and operational runbooks Provide Provide technical guidance and support to users, enabling efficient execution of HPC/AI workloads, large-scale models, and simulations.

Required Skills and Qualifications:

Proven ability to advise and engage with C-Suite executives and senior leadership, translating complex AI and HPC technologies into business and strategic value Deep knowledge of infrastructure components including XPUs, high-performance fabrics (InfiniBand, Ethernet), and modern storage/data platforms (e.g. NVMe-oF, Lustre, BeeGFS, VAST, DDN, Weka) Familiarity with orchestration and management frameworks (Slurm, Kubernetes, Docker) and performance/monitoring tools for AI/HPC environments Strong grasp of MLOps, DevSecOps, and automation principles (Terraform, Ansible) as they apply to large-scale, secure, and reproducible workflows Experience in AgenticAI based automation developing and integrating agents for automation and observability Excellent communication and client-facing skills, with the ability to present complex architectures to both executives and technical teams.