
AI Infrastructure Architect
7 days ago
Job Description
About the RoleWe are seeking an AI Infrastructure Architect to join our team. This role will be responsible for designing and implementing foundational AI infrastructure that supports multiple teams and use cases.
The ideal candidate will have over 5 years of experience building and scaling ML training systems, with hands-on experience in distributed training, model lifecycle management, and large-scale data processing.
Key Responsibilities- Architecting foundational AI Platform capabilities, making key technical decisions that impact how models are trained and deployed across the organization.
- Leading cross-team initiatives to consolidate and improve dataset and training capabilities, working with stakeholders across multiple engineering and research teams.
- Building and maintaining paved roads for high-performance distributed data processing and training systems, optimising for cost efficiency and developer experience.
- Driving technical strategy discussions, weighing platform stability needs against product velocity requirements.
- Mentoring other engineers and contributing to growing the AI platform engineering capabilities.
- A proven track record of designing and implementing foundational AI/ML infrastructure that supports multiple teams and use cases.
- Hands-on experience with distributed computing, container orchestration (Kubernetes), and cloud infrastructure (preferably AWS).
- Fluency in Python with deep knowledge of ML frameworks (PyTorch, TensorFlow) and modern tools (W&B, Ray, Anyscale).
- A strong understanding of generative AI systems, including LLMs, multimodal models, and foundation model fine-tuning.
- Ability to balance long-term platform investments with immediate business needs, making pragmatic technical decisions.
- Achieving our goals motivates us to work hard — and we do — but you'll experience lots of moments of magic, connectivity and fun woven throughout life at the company, too.
- An annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & more.
- Flexible leave options that empower you to be a force for good, take time to recharge and support you personally.
We celebrate all types of skills and backgrounds at the company — so even if you don't feel like your skills quite match what's listed above — we still want to hear from you.
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