AI Infrastructure Principal Architect

16 ore fa

Pavia, Lombardia, Italia Accenture Tempo pieno
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