Partner Solutions Architect

Are you an AI/ML enthusiast with a passion for guiding enterprises through the complex landscape of cloud infrastructure? Nebius, a leader in full-stack AI cloud for the global AI economy, is seeking a visionary Partner Solutions Architect. This is your chance to leverage your deep technical expertise and strategic thinking to empower our partners, helping them harness the power of cutting-edge AI technologies and achieve unprecedented success on a fully remote, worldwide stage.

Overview

Nebius is redefining cloud infrastructure for the global AI economy. We provide a full-stack AI cloud platform, built by engineers for engineers, that empowers developers and enterprises from data and model training through to production deployment. Our platform eliminates the cost and complexity of building large in-house AI/ML infrastructure, tackling hard problems across compute, storage, networking, and applied AI. With a global footprint, R&D hubs across Europe, the UK, North America, and Israel, and a team of 1,500+ experts, we are at the forefront of innovation. As a Partner Solutions Architect, you will be a critical bridge between Nebius's groundbreaking technology and our strategic partners, translating their ambitious AI goals into successful, scalable cloud solutions. This is a fully remote, worldwide opportunity.

Key Responsibilities

Collaborate closely with Nebius's strategic partners to understand their unique AI/ML challenges and business objectives.
Design, architect, and optimize AI/ML solutions on the Nebius platform, leveraging advanced GPUs (e.g., H200, B200, GB200) and modern ML frameworks.
Provide expert technical guidance and support throughout the partner's journey, from initial concept and proof-of-concept to full-scale production deployment.
Act as a trusted advisor, demonstrating the value and capabilities of the Nebius AI Cloud in solving real-world problems at massive GPU cloud scale.
Develop and deliver technical presentations, workshops, and demonstrations for partner teams and their clients.
Contribute to the continuous improvement of Nebius's partner programs and product offerings by relaying partner feedback and market insights to R&D and product teams.
Drive partner success by identifying opportunities for expansion and deeper integration with the Nebius ecosystem.

Requirements

Unfortunately, the original job description was cut off, so we're providing common requirements for this type of role. Candidates are encouraged to review the full details on the employer's official page.

Proven experience as a Solutions Architect, Partner Engineer, or similar role, specifically within cloud computing or AI/ML domains.
Deep understanding of machine learning concepts, MLOps, and popular ML frameworks (e.g., TensorFlow, PyTorch).
Strong experience with cloud platforms (e.g., AWS, Azure, GCP, or similar), ideally with a focus on GPU-accelerated computing.
Familiarity with large-scale GPU orchestration, inference optimization, and distributed systems.
Excellent client-facing skills, with the ability to communicate complex technical concepts to both technical and non-technical audiences.
Strong problem-solving abilities and a proactive approach to identifying and resolving technical challenges.
Ability to work independently and collaboratively in a fast-paced, global, remote environment.
Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.

What You'll Gain

The opportunity to work at the forefront of AI innovation with a full-stack cloud platform built by engineers, for engineers.
Direct impact on the success of global enterprises and the broader AI economy.
Exposure to and hands-on experience with cutting-edge GPU hardware (H200, B200, GB200) and advanced ML technologies.
A stimulating, collaborative, and fully remote work environment with a diverse, global team of over 1,500 experts.
Significant professional growth opportunities within a rapidly expanding, Nasdaq-listed company.
The chance to shape the future of AI infrastructure from anywhere in the world.