Master Principal Artifical Intelligence Architect

A world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's problems, operating with integrity for 40+ years.
Machine Learning
Principal Software Engineer
In-Person
15+ years of experience
AI · Enterprise SaaS · Cloud

Description For Master Principal Artifical Intelligence Architect

Oracle's JAPAC Cloud Engineering Center of Excellence (CE CoE) is seeking a Master Principal AI Architect to drive their AI growth initiatives. This role sits at the intersection of cutting-edge AI technology and enterprise cloud solutions, focusing on helping customers transition their workloads to Oracle Cloud Infrastructure (OCI). The position requires a seasoned professional with 15-20 years of experience in AI and HPC infrastructure, combining deep technical expertise with strong leadership abilities.

The role involves architecting and implementing sophisticated AI systems, working with large language models, and optimizing high-performance computing environments. You'll be at the forefront of the AI revolution, working with state-of-the-art GPU platforms and solving real-world business problems. The position offers the opportunity to work with diverse technologies including Kubernetes, PyTorch, TensorFlow, and various cloud platforms.

As a Principal AI Architect, you'll lead cross-functional teams, interact with C-level executives, and drive innovation in a fast-paced environment. Oracle offers comprehensive benefits including medical insurance, retirement options, and emphasizes work-life balance. The company's 40+ year track record of innovation and commitment to diversity makes it an ideal place for those looking to make a significant impact in the AI and cloud computing space.

The role is based in Singapore and offers the chance to work with a global team while helping shape the future of AI infrastructure. Success in this role means driving cloud consumption growth, acquiring new customers, and delivering world-class technical expertise to Oracle's clients.

Last updated 17 days ago

Responsibilities For Master Principal Artifical Intelligence Architect

  • Lead architecture and implementation of AI and HPC infrastructure
  • Design and implement AI systems using industry-standard training and inferencing tools
  • Drive optimization of AI infrastructure and applications on Oracle OCI
  • Ensure AI infrastructure and solutions compliance with security standards
  • Deploy and manage large language models in production environments
  • Engage with cross-functional teams including data scientists and AI engineers
  • Drive cloud consumption growth and new customer acquisition

Requirements For Master Principal Artifical Intelligence Architect

Kubernetes
Python
Linux
  • 15-20 years of deep technical hands-on expertise in AI and HPC infrastructure
  • Experience with LLMs and AI Infrastructure is mandatory
  • Experience in deploying large models in production on public clouds
  • Strong Linux skills with hands-on system administration
  • Knowledge of networking protocols (TCP/IP, Infiniband, RDMA, UDP, HTTP)
  • Experience with AI/ML tools like Kubeflow, Ray, CUDA, PyTorch, and TensorFlow
  • Great communication skills to interact at all levels (CIO, CTO, Product Engineering)
  • Experience with containerization (Docker, Kubernetes)

Benefits For Master Principal Artifical Intelligence Architect

Medical Insurance
Vision Insurance
Dental Insurance
401k
  • Flexible medical insurance
  • Life insurance
  • Retirement options
  • Volunteer programs
  • Work-life balance

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