Enterprise AI Architect

Role Overview

Senior Solutions Architect

Key Responsibilities

• Design, implement, and configure

  Kubernetes-based on-prem and hybrid environments.
• Lead end-to-end delivery of infrastructure solutions with a strong focus on

  execution, deployment, and operational readiness

  .
• Architect and set up

  NVIDIA AI Enterprise

  platform environments, ensuring Data Scientists have a high-performance, secure, and scalable environment for AI/ML workloads.
• Collaborate closely with cross-functional teams, including Data Science, Platform Engineering, and IT Infrastructure.
  
• Engage with clients and stakeholders to translate business requirements into technical solutions.
  
• Create high-quality documentationarchitecture diagrams, deployment runbooks, and configuration guides.
  
• Apply best practices in

  Cloud Native Computing

  , including

  Infrastructure as Code (IaC)

  tools such as Terraform, Ansible, or similar.
• Mentor teams and provide consulting-level guidance on solution design and operational optimization.
  

Required Skills & Experience

• Strong hands-on expertise in Kubernetes

  , container orchestration, and on-prem infrastructure.
• Proven background in

  Professional Services

  roles, with direct experience in design, implementation, and configuration of enterprise platforms.
• Delivery-focused

  Solutions Architect

  with demonstrated experience executing complex deployments (not purely presales).
• Excellent communication, stakeholder management, and

  consulting

  skills; ability to engage both technical and business audiences.
• Experience with

  Cloud Native

  concepts, CI/CD, GitOps, and

  Infrastructure as Code

  practices.
• Familiarity with NVIDIA AI Enterprise, GPU-accelerated compute environments, or AI/ML platform setup is an advantage.
  

Preferred Qualifications

• Certifications in Kubernetes (CKA, CKAD, CKS), Cloud platforms, or NVIDIA stack.
  
• Experience with GPU workloads, MLOps pipelines, or HPC environments.
  
• Exposure to hybrid cloud architectures with VMware, Red Hat OpenShift, or similar platforms.
  

Who Should Apply

Professionals passionate about building robust, scalable AI-ready infrastructure and delivering high-impact solutions within enterprise environments. If you enjoy hands-on delivery, consulting engagements, and enabling Data Scientists with cutting-edge platforms, this role is for you.