Overview
As principal architect, you define the vision for compute infrastructure that underpins large-scale AI/ML systems. You guide the architecture across compute, networking, storage, and orchestration to deliver scalable, cost-aware production systems. You work with cross-functional teams, validate designs with prototypes and benchmarks, and mentor others while driving strategic roadmaps. Your deep hyperscaler expertise informs decisions that balance performance, cost, and business value, shaping the firm’s AI infrastructure trajectory.
Responsabilità
- Set and communicate the overarching compute infrastructure strategy for AI/ML systems
- Make authoritative 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 and benchmarks
- Define reference architectures, standards, and patterns and implement foundational tooling and automation
- Lead enterprise-scale architecture assessments and design reviews with hands-on validation
- Shape the AI infrastructure roadmap and plan capacity and technology evolution
- Identify and pilot emerging technologies with real-condition testing
- Drive performance and cost optimization of GPU/compute workloads to meet SLAs
- Serve as the principal authority on hyperscaler cloud platforms with hands-on AI/ML expertise
- Lead root-cause analysis for complex issues across hardware, network, software, and models
- Foster relationships with infrastructure partners for early access and credibility
- Provide executive- and client-level advisory translating trade-offs into business outcomes
- Define monitoring, observability, reliability strategies and implement SLAs, SLOs, and governance for production AI/ML systems
- Ensure security, compliance, and regulatory alignment across AI/ML infrastructure
- Mentor and develop the architect community to deliver impact
- Champion cost-efficiency and value realization across the stack
Requisiti fondamentali
- Significant experience coding, building, monitoring, and troubleshooting AI/ML applications and deploying them on premises or public cloud
- Strong understanding of AI/ML concepts
- Strong understanding of computing infrastructure; knowledge of AI infrastructure preferred
- Proficiency in Python, Java, or C++
- Experience with data pipelines/workflow tools (e.g., Apache Airflow, Kubeflow)
- Strong problem-solving ability and fast-paced adaptability
- Excellent communication and collaboration skills
- Extensive experience in AI/ML infrastructure engineering on hyperscaler platforms for large-scale deployments
- Proven leadership and management of AI projects and teams
- Strong project management skills with multi-project capability
- Experience evaluating and selecting AI technologies and frameworks
- Ability to collaborate with cross-functional teams and drive project alignment
- communication
- collaboration
- problem-solving
- Python
- Java
- C++
AI Infrastructure Principal Architect datore di lavoro: Accenture
Accenture è un datore di lavoro eccezionale, che offre un ambiente dinamico e stimolante per i professionisti del settore. Con opportunità di crescita continua e programmi di formazione all'avanguardia, i dipendenti possono sviluppare competenze preziose mentre collaborano con team diversificati. Inoltre, la cultura aziendale promuove l'innovazione e il supporto reciproco, rendendo Accenture un luogo ideale per chi cerca un impiego significativo e gratificante.
