Lead AI Solutions Architect

1 day ago

Bengaluru, Karnataka, India Net Connect Full time US$ 1,50,000 - US$ 2,00,000 per year

As a Lead AI Solutions Architect , you will spearhead the design, deployment, and optimization of AI infrastructure built on hybrid/private cloud environments using validated reference architectures. Youll architect scalable, high-performance solutions tailored to enterprise AI workloads, working closely with cross-functional teams and enterprise clients.

This is a critical, hands-on leadership role for someone with deep technical expertise, business acumen, and a passion for delivering next-gen AI platforms.

Key Responsibilities

  • Serve as the lead technical authority for designing and implementing enterprise-grade AI and container platforms.
  • Architect solutions aligned with Enterprise AI Factory design principles and validated infrastructure patterns.
  • Lead planning, risk management, and stakeholder alignment for complex infrastructure deployments.
  • Optimize end-to-end workflows across container orchestration (Kubernetes, OpenShift) and HPC workload management (Slurm, PBS Pro) .
  • Integrate AI platforms with broader enterprise ecosystems and data pipelines.
  • Conduct PoC engagements , validate performance, and ensure production readiness.
  • Lead technical responses for RFPs, RFIs, and other customer engagements.
  • Collaborate across Engineering, Product, Sales, and Customer Success to deliver unified solutions.
  • Stay ahead of emerging AI infrastructure technologies, DevOps practices, and hybrid cloud trends .

Required Skills & Experience

  • 12-15 years of experience in architecting HPC, AI/ML, and hybrid cloud environments.
  • Strong expertise in HPC technologies , including Slurm , PBS Pro , and cluster management tools .
  • Proficiency in containerization (Docker, Podman, Singularity) and orchestration platforms ( Kubernetes, OpenShift, SUSE Rancher ).
  • Solid Linux system administration and virtualization skills (KVM, OpenShift Virtualization).
  • Deep understanding of hybrid/multi-cloud architectures and DevOps automation .
  • Strong scripting/programming experience in Python , Bash , or equivalent.
  • Excellent problem-solving, stakeholder management , and executive communication skills .
  • Demonstrated ability to act as a trusted advisor to enterprise customers.

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