AI Infrastructure Principal Architect

Overview

As the Principal AI Infrastructure Architect at Accenture, you set the technical direction for compute infrastructure that underpins large-scale AI/ML systems. You own the most complex architecture decisions across compute, networking, storage, orchestration, and model serving, guiding senior teams and shaping the roadmap. You prototype cost-optimized, scalable systems and establish reference architectures that scale across engagements. You translate trade-offs into business outcomes and steer technology strategy to deliver measurable value.

Responsabilità

• Set the overarching technical vision for compute infrastructure supporting large-scale AI/ML systems
• Own complex architecture decisions across compute, networking, storage, orchestration, and model serving
• Architect and prototype large-scale, cost-optimized compute and distributed training systems with reference implementations
• Define reference architectures, standards, and patterns and implement foundational tooling and automation
• Lead enterprise-scale architecture assessments and design reviews and validate findings in real environments
• Shape and steward the AI infrastructure roadmap, capacity planning, and technology evolution
• Identify and pilot promising emerging technologies and assess their fit in real conditions
• Drive performance and cost optimization of GPU/compute utilization and distributed workloads
• Serve as principal authority across hyperscaler cloud platforms with hands-on AI/ML knowledge
• Troubleshoot root causes across hardware, networking, software, and models and codify fixes
• Cultivate relationships with infrastructure partners and securing early access and credibility
• Provide executive and client-level technical advisory tying infrastructure trade-offs to business outcomes
• Define monitoring, observability, reliability strategy, SLAs, SLOs, and cost/performance governance
• Ensure security, compliance, and regulatory alignment of AI/ML infrastructure across solutions
• Mentor and grow the architect community through hands-on collaboration
• Champion cost-efficiency and value realization across the stack

Requisiti fondamentali

• Significant experience in coding, building, monitoring, and troubleshooting AI/ML applications and infrastructure
• Strong understanding of AI/ML concepts and computing infrastructure
• Proven programming experience (Python, Java, or C++)
• Experience with data pipelines/workflow tools (e.g., Apache Airflow, Kubeflow)
• Problem-solving skills and ability to work in a fast-paced environment
• Excellent communication and collaboration skills
• Extensive experience in AI/ML infrastructure engineering or related roles on a hyperscaler platform
• Proven experience leading AI projects and teams
• Strong project management skills and ability to manage multiple projects
• Experience evaluating/selecting AI technologies and frameworks
• Ability to work with cross-functional teams and drive project alignment
• strong communication
• collaboration
• leadership
• AI/ML infrastructure
• compute optimization
• GPU/compute utilization

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