3 days ago
Kronberg, GermanyStaff+
Responsibilities
- Set the overarching technical vision and strategy for large-scale AI/ML compute infrastructure.
- Make authoritative architecture decisions across compute, networking, storage, orchestration, and model serving.
- Design and hands-on prototype distributed training systems, reference implementations, proofs of concept, and benchmarks.
- Define reusable reference architectures, standards, architectural patterns, infrastructure-as-code, and automation.
- Lead enterprise architecture assessments, design reviews, workload profiling, troubleshooting, and root-cause analysis.
- Shape AI infrastructure roadmaps, capacity planning, technology evolution, and emerging-technology evaluations.
- Optimize GPU and compute utilization, distributed training, model serving, performance, and cost against business SLAs.
- Define and implement monitoring, observability, reliability, instrumentation, SLO, and cost/performance governance strategies.
- Ensure enterprise integration, security, compliance, and regulatory alignment of AI/ML infrastructure.
- Advise executives and clients, lead infrastructure partner relationships, and mentor senior and lead architects.
Requirements
- Bachelor's degree in Computer Science, Computer Engineering, or a related engineering field.
- Considerable experience coding, building, monitoring, and troubleshooting AI/ML model applications and infrastructure on premises or public cloud.
- Strong understanding of AI, machine learning, computing infrastructure, and preferably AI infrastructure.
- Strong proficiency in Python, Java, or C++.
- Experience with data pipeline and workflow management tools such as Apache Airflow and Kubeflow.
- Significant AI/ML infrastructure engineering experience on a hyperscaler platform for deploying large-scale solutions.
- Proven experience leading and managing AI projects and teams.
- Experience evaluating and selecting AI technologies and frameworks.
- Strong project management, problem-solving, communication, collaboration, and cross-functional alignment skills.
Benefits
- Employer-funded pension scheme.
- Employee Share Purchase Programme with preferential conditions.
- Flexible working models, including working from home.
Categories
About Accenture
Accenture is a global professional services firm providing management consulting, systems integration and technology, cybersecurity, and business process outsourcing for enterprises and governments. It operates a services-driven model delivering projects and managed services, often with major cloud and software partners, across industries worldwide. Headquartered in Dublin and publicly traded on the NYSE (ACN), it originated as Andersen Consulting and adopted the Accenture name in 2001.