Verified today
Senior Staff Consulting Architect - AI Infrastructure
About the role
Nutanix is seeking a Senior Staff Consulting Architect – AI Infrastructure to provide senior technical leadership in the architecture, design, and transformation of enterprise AI platforms based on the Nutanix AI Platform (NAI) and equivalent enterprise AI/ML platforms. The role involves leading complex enterprise AI transformation initiatives spanning AI infrastructure, GPU-enabled Kubernetes, MLOps/LLMOps, Generative AI, RAG, model serving, data services, automation, security, and hybrid/multi-cloud environments, while acting as a trusted technical advisor to senior customer stakeholders. Based in Pune or Bangalore, India, this hybrid position requires working 3 days a week on-site.
What you’ll do
- Lead architecture strategy for enterprise AI/ML and Generative AI platform transformation programs
- Define target-state AI platform architectures aligned to customer business, data, application, security, and operational requirements
- Architect enterprise AI platforms across Nutanix AI Platform (NAI), Kubernetes-based AI platforms, Nutanix AHV, bare-metal GPU infrastructure, hybrid and multi-cloud environments, and public cloud AI/
- Design enterprise AI infrastructure supporting GPU-enabled Kubernetes, AI/ML workloads, model training, fine-tuning, inference, vector search, and RAG workloads
- Architect high-performance AI infrastructure across virtualized and bare-metal environments, including GPU-enabled Kubernetes platforms using NVIDIA GPU Operator, CUDA, Container Toolkit, Triton Infer
- Lead architecture for enterprise Generative AI solutions and platforms, including end-to-end RAG architectures and AI application patterns using LLMs, embedding models, vector databases, LangChain, Ll
- Define enterprise MLOps and LLMOps architectures covering the complete AI lifecycle and integrate AI platforms with CI/CD and GitOps practices
- Act as the senior technical advisor to customer CIO/CTO organizations, enterprise architects, data and AI leaders, and platform engineering teams, and mentor architects and consultants
What you’ll bring
- 15+ years of experience across infrastructure, cloud, virtualization, Kubernetes, AI/ML platforms, or related technologies
- Proven experience architecting and delivering enterprise AI/ML platforms and AI infrastructure
- Deep understanding of AI/ML platform architecture and enterprise AI adoption
- Strong hands-on experience with Kubernetes, Nutanix AHV or equivalent virtualization platforms, GPU-enabled infrastructure, Linux, and container technologies
- Strong experience with Nutanix AI Platform (NAI) or equivalent enterprise AI platforms
- Deep understanding of GPU architecture and AI workload requirements, including GPU scheduling, CUDA, GPU Operator, GPU resource management, and GPU performance optimization
- Strong experience with Kubernetes-based AI platforms
- Strong experience with Infrastructure as Code (Terraform, Ansible) and CI/CD, GitOps, and platform automation
Skills
Education
Bachelor's Degree in Engineering, Computer Science, Artificial Intelligence, Data Science, or equivalent discipline.