Technical Leader: AI Systems Architecture
Description
Technical Leader: AI Systems Architecture
Recruitment Consultant XXXX XXXX
Contact Details [ inquiries@consultant.dev](mailto: inquiries@consultant.dev) [+44 (0) XXX-XXX-XXXX](tel:+44 (0) XXX-XXX-XXXX)
Posted 3 minutes ago
Technical Leader
- AI Systems Architecture
We are building a new research and engineering lab focused on advancing AI systems architecture for large-scale multimodal models. We are looking for a senior technical leader to drive innovation at the intersection of multimodal foundation models, scalable training/inference systems, and next-generation computing platforms.
Role Overview
You will lead research and system-level development of large multimodal AI models, working closely with researchers, systems engineers, and platform teams. The role emphasizes both hands-on technical depth and architectural leadership, from model design to large-scale deployment.
Core Expertise
Deep expertise in multimodal learning, with hands-on experience training and scaling:
Vision–Language Models (VLMs)
Video or temporal models
Multimodal or agent-based systems- Strong understanding of transformer architectures, diffusion models, and large multimodal model (LMM) inference
Demonstrated contributions to well-known open-source AI projects, such as:
General-purpose model libraries
Multimodal or vision–language frameworks
Large-scale training or diffusion-based systems
Technical Skills
Strong proficiency in PyTorch and/or JAX
Experience with large-scale distributed training and inference, including model, data, and pipeline parallelism
Solid understanding of performance optimization for AI systems (memory efficiency, latency, throughput)
Proven ability to build end-to-end training and inference pipelines, including:
Data preprocessing and curation
Distributed training and evaluation
Inference optimization and deployment- Experience collaborating within open-source communities
Maintainer or core contributor experience is a plus
Research & Innovation
Publication record in top-tier AI conferences (e.g., NeurIPS, ICLR, CVPR, ICCV, ACL, EMNLP) strongly preferred
Demonstrated ability to propose, prototype, and validate novel architectures or algorithms
Strong interest in bridging research innovation and real-world system deployment
Qualifications
PhD in Computer Science, Computer Engineering, or a related field
8+ years of experience in AI research, systems engineering, or applied machine learning
Strong English communication and technical documentation skills
Comfortable working in cross-functional and interdisciplinary teams
Industry AI & Machine Learning
Contract Type Permanent
Location Switzerland
City Zurich
Work Model On-Site
By applying to this role, you acknowledge that we may collect, store, and process your personal data on our systems.
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