Verified Job
IT / Software / Data Analyst
Head, AI Cloud Platform
IT / Software / Data Analyst
#732830
Remote / WFH
Reliance Intelligence
Job Description
Reliance Intelligence is building one of the world's largest AI-native infrastructure platforms: an AI Factory that spans high-density data centers, GPU and CPU compute, storage and network fabric, AI cloud platform services, model serving, inferencing, and the operating systems that turn capacity into AI products.
The platform is being built for serious scale across India and global markets, supporting internal businesses, enterprise customers, developers, model providers, and autonomous AI platforms. This is full-stack AI infrastructure work, from physical buildout through cloud services through the model and inference layer that customers will actually consume.
The Role
We’re looking for a Head of AI Cloud Platform (IaaS/PaaS) to own the cloud layer that turns hyperscale GPU infrastructure into secure, self-service, multi-tenant AI capacity. You’ll work closely with compute and hardware, data center infrastructure, and model serving teams to keep the AI Factory coherent from facility to service layer, reporting to AI Factory leadership. This is a high-ownership role at a company built to work at the frontier of how AI reshapes cloud platform engineering — we use AI daily to move faster and think bigger, not as an afterthought.
What You’ll Do
• Own AI Cloud Platform strategy, architecture, and execution across GPU cloud control plane, managed data/PaaS services, OSS/BSS & billing, security, and platform SRE/NOC.
• Turn compute capacity into a secure, programmable cloud service — provisioning, orchestration, scheduling, quotas, tenancy, and self-service workflows.
• Set platform APIs, SLOs, observability, AIOps, and incident command standards for a 24x7 multi-tenant environment.
• Own customer onboarding, capacity reservation, metering, chargeback, and billing readiness for AI cloud services.
• Embed zero-trust security, IAM/PAM, tenant isolation, and compliance into the platform from day one.
What We’re Looking For
• 20+ years leading cloud infrastructure, platform engineering, distributed systems, SRE, or large-scale SaaS/cloud platforms
• Hands-on experience building or operating multi-tenant IaaS/PaaS platforms in production, not just prototypes
• Deep fluency in cloud control planes, Kubernetes/Slurm-class schedulers, platform security, and reliability engineering
• Comfort with ambiguity and a fast-moving roadmap — we ship weekly, not quarterly
• Strong grounding in platform economics: capacity reservation, metering, chargeback, and FinOps accountability.
How We Work
• We’re hands-on with AI and technical tools, turning ideas into working prototypes and systems fast.
• We move quickly, share work early, and keep refining until it’s useful, polished, and memorable.
• We focus on the hardest problems and the outcomes that matter, and change course when evidence says to.
• We collaborate with openness and respect, and speak up directly when something looks wrong.
The platform is being built for serious scale across India and global markets, supporting internal businesses, enterprise customers, developers, model providers, and autonomous AI platforms. This is full-stack AI infrastructure work, from physical buildout through cloud services through the model and inference layer that customers will actually consume.
The Role
We’re looking for a Head of AI Cloud Platform (IaaS/PaaS) to own the cloud layer that turns hyperscale GPU infrastructure into secure, self-service, multi-tenant AI capacity. You’ll work closely with compute and hardware, data center infrastructure, and model serving teams to keep the AI Factory coherent from facility to service layer, reporting to AI Factory leadership. This is a high-ownership role at a company built to work at the frontier of how AI reshapes cloud platform engineering — we use AI daily to move faster and think bigger, not as an afterthought.
What You’ll Do
• Own AI Cloud Platform strategy, architecture, and execution across GPU cloud control plane, managed data/PaaS services, OSS/BSS & billing, security, and platform SRE/NOC.
• Turn compute capacity into a secure, programmable cloud service — provisioning, orchestration, scheduling, quotas, tenancy, and self-service workflows.
• Set platform APIs, SLOs, observability, AIOps, and incident command standards for a 24x7 multi-tenant environment.
• Own customer onboarding, capacity reservation, metering, chargeback, and billing readiness for AI cloud services.
• Embed zero-trust security, IAM/PAM, tenant isolation, and compliance into the platform from day one.
What We’re Looking For
• 20+ years leading cloud infrastructure, platform engineering, distributed systems, SRE, or large-scale SaaS/cloud platforms
• Hands-on experience building or operating multi-tenant IaaS/PaaS platforms in production, not just prototypes
• Deep fluency in cloud control planes, Kubernetes/Slurm-class schedulers, platform security, and reliability engineering
• Comfort with ambiguity and a fast-moving roadmap — we ship weekly, not quarterly
• Strong grounding in platform economics: capacity reservation, metering, chargeback, and FinOps accountability.
How We Work
• We’re hands-on with AI and technical tools, turning ideas into working prototypes and systems fast.
• We move quickly, share work early, and keep refining until it’s useful, polished, and memorable.
• We focus on the hardest problems and the outcomes that matter, and change course when evidence says to.
• We collaborate with openness and respect, and speak up directly when something looks wrong.
