AI Infrastructure Principal Architect
Pubblicato il 24-10-2026 - Accenture in Pavia
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