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Principal Solutions Architect APJ

21 minutes ago
Singapore
Full-time
Lead
Solutions Engineer
Customer and Technical Support
Ansible AWS Azure GCP Kubeflow Kubernetes Machine Learning MLOps Python PyTorch TensorFlow Terraform
Apply Now
Nebius

Nebius

Nebius enables B2B companies to build local hyperscaling cloud platforms with cost-effective GPUs, InfiniBand network, and 50% less compute cost. They offer managed Kubernetes and a launch-ready business model for innovative cloud solutions.

Internet Software & Services
51-250
View All Jobs 191

Description

  • Own end-to-end technical presales and solution delivery for strategic and enterprise customers from discovery through PoC, architecture design, and production readiness.
  • Serve as a trusted technical advisor to senior customer stakeholders, including CTOs, Heads of ML, and platform engineering teams.
  • Lead ML/AI infrastructure and MLOps architecture for large-scale training and inference workloads on GPU-accelerated cloud platforms.
  • Design, validate, and document reference architectures, Infrastructure-as-Code solutions, and best-practice deployment patterns.
  • Drive advanced PoCs, workshops, architecture reviews, and executive presentations to demonstrate value and accelerate adoption.
  • Partner with Sales, Product, Engineering, and Support to represent customer requirements and influence product roadmap decisions.
  • Act as a single point of technical authority for key customer scenarios across internal teams.
  • Support marketing initiatives such as conferences, hackathons, webinars, customer case studies, and technical thought leadership.
  • Mentor and provide technical leadership to other Solutions Architects.

Requirements

  • 10+ years of experience in senior technical roles such as Solutions Architect, Systems Architect, or ML Platform Engineer, with significant customer-facing responsibilities.
  • Proven track record of delivering complex presales engagements end to end, including discovery, solution design, PoCs, and production transition.
  • Deep hands-on experience with large-scale ML workloads, including GPU training and inference at scale.
  • Strong expertise in cloud infrastructure and MLOps, including Kubernetes-based platforms and distributed systems.
  • Hands-on experience with Infrastructure as Code and configuration management tools such as Terraform and Ansible.
  • Strong Python skills.
  • Deep understanding of GPU computing stacks for ML/AI workloads, including drivers, CUDA, libraries, and performance optimization.
  • Exceptional communication skills for both technical and executive audiences.
  • Highly customer-centric mindset with the ability to balance customer needs, technical feasibility, and product strategy.
  • Previous experience as a Senior AI/ML Specialist Solutions Architect, Technical ML Product Manager, or similar senior AI/ML-focused role is a plus.
  • Hands-on experience with HPC and ML orchestration frameworks such as Slurm and Kubeflow is preferred.
  • Practical experience with deep learning frameworks such as PyTorch and TensorFlow is preferred.
  • Strong understanding of the cloud ML ecosystem across NVIDIA, AWS, Azure, and Google Cloud is preferred.
  • Experience influencing product direction based on customer feedback and real-world usage patterns is preferred.
  • Applicants must be authorized to work in the country where they apply and provide proof of employment eligibility.

Benefits

  • Competitive compensation.
  • Career growth and learning opportunities.
  • Flexibility and work-life balance.
  • Collaborative and innovative culture.
  • Opportunity to work on impactful AI projects.
  • International environment and talented teams.
  • Remote work option from Singapore.

Interested in this position?

Apply directly on the company website

Apply Now

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