Project Role Description : Architect and build custom Artificial Intelligence (AI) infrastructure/hardware solutions. Optimize AI infrastructure/hardware performance, power consumption, cost and scalability of computational stack. Advise on AI infrastructure technology and vendor evaluation, selection and full stack integration.
Must have skills : DevOps Architecture
Valuable to have skills : DevOps
Minimum
12 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
Architect CI/CD pipelines, infrastructure-as-code, and deployment automation at scale
Roles Responsibilities:
Architect CI/CD pipelines, infrastructure-as-code, and deployment automation at scale
Define DevOps strategy, tooling standards,
and best practices across teams
Lead incident response, root-cause analysis, and reliability engineering initiatives
Drive infrastructure cost optimization and capacity planning
Mentor engineers on automation, observability, and cloud-native practices
Own security, compliance, and disaster recovery posture for infrastructure
Evaluate and implement current DevOps/SRE tooling (Terraform, Kubernetes, monitoring stacks)
Skilled Technical Skills:
Partner with engineering leadership on platform roadmap and scalability
Qualification 15 years full time education
📌 Ai Infrastructure Architect Karnataka
🏢 Accenture
📍 Karnataka
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