Opportunity

Senior AI Solutions Architect Role – $261K at Nebius in Columbus

Location Columbus
Company Nebius
Source jobicy
Posted 2026-08-27 11:15:45

Career & Market Insight

Compensation Benchmark: The $208,800–$261,000 base range places this role firmly in the top quartile for Solutions Architect and Technical Account Manager positions in the US market, where typical ranges for senior-level roles fall between $150,000–$200,000. This premium reflects Nebius's competitive positioning in the high-demand AI infrastructure space and suggests they're targeting seasoned professionals.

Skills You'll Develop: This role sits at the intersection of cutting-edge AI infrastructure and enterprise customer success — a rare and valuable combination. Key skills sharpened include:

  • Large-scale GPU cluster architecture and optimization (CUDA, HPC orchestration)
  • Enterprise AI/ML deployment patterns and production readiness
  • Strategic stakeholder management and technical pre-sales
  • IaC tooling (Terraform, Ansible) and Kubernetes at scale

Career Trajectory: Experience with a Nasdaq-listed AI cloud company at this early growth stage (1,500+ employees, rapidly expanding) can open doors to VP of Solutions Engineering, Principal Architect, or Director-level roles at hyperscalers or AI-native companies. The exposure to frontier AI workloads is increasingly rare and marketable.

Culture Signals: Nebius signals a fast-moving, engineer-led culture with real ownership — typical of a company transitioning from startup to scale-up. The emphasis on "trust and real ownership" and "bold thinking" suggests autonomy but also high performance expectations. The generous parental leave (20 weeks primary) is a strong green flag for work-life balance at the policy level.

Potential Red Flag: The broad 5–10+ year experience range with a wide salary band suggests role scope may vary significantly — clarify seniority level and team structure during interviews.

About Nebius:

Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.

Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.

Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.

The Role

Nebius seeks a Key Customers Solutions Architect to support key and strategic Nebius GPU Cloud services customers. In this role, you will be a trusted technical advisor, helping clients design, deploy, and scale AI solutions while managing large-scale GPU workloads involving hundreds to thousands of GPUs. You will also collaborate with sales and product teams to drive growth and enhance customer satisfaction.

You're welcome to work remotely from the United States or Canada.

Your responsibilities will include:

  • Serve as the primary technical point of contact, troubleshooting and resolving complex AI/ML issues.
  • Guide customers in optimizing GPU performance for ML training and inference workloads, ensuring seamless integration and scalability.
  • Partner with the sales team to identify new opportunities, promote the latest products, and deliver technical presentations.
  • Act as a bridge to product teams, providing customer feedback, relaying feature requests, and ensuring alignment with customer requirements.
  • Engage with internal and external stakeholders, negotiate solutions, and effectively drive alignment to address customer challenges.

We expect you to have:

  • 5–10+ years in roles like Cloud Solutions Architect, Technical Account Manager, or Customer Engineer, with hands-on experience in cloud services and AI/ML workloads.
  • Proficiency in Infrastructure as Code (IaC) tools like Terraform and Ansible.
  • Experience with Kubernetes and Python programming.
  • Solid understanding of GPU computing, including ML training, inference workloads, and GPU stacks (e.g., CUDA, OpenCL).
  • Customer-centric approach with a proven ability to build trust and foster long-term relationships.
  • Strong ability to explain technical concepts to both technical and non-technical audiences.

It will be an added bonus if you have:

  • Hands-on experience with HPC/ML orchestration frameworks (e.g., Slurm, Kubeflow).
  • Experience with deep learning frameworks (e.g., PyTorch, TensorFlow).
  • Familiarity with ML tools from NVIDIA, AWS, Azure, and Google Cloud providers.
  • Strong project management skills, with the ability to prioritize tasks and deliver on deadlines.
  • Proven experience mentoring technical teams and driving team growth.
  • Expertise in stakeholder negotiation to support problem resolution and ensure seamless collaboration.

Key Employee Benefits:

  • Health Insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
  • 401(k) Plan: Up to 4% company match with immediate vesting.
  • Parental Leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
  • Remote Work Reimbursement: Up to $85/month for mobile and internet.
  • Disability & Life Insurance: Company-paid short-term, long-term, and life insurance coverage.

Pay Transparency

We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.

Base Compensation Range: $208,800 — $261,000 USD

Benefits & Perks:

  • Competitive compensation
  • Career growth and learning opportunities
  • Flexibility and ownership
  • Collaborative and innovative culture
  • Opportunity to work on impactful AI projects
  • International environment and talented teams

What's it like to work at Nebius:

Fast moving · Bold thinking · Constant growth · Meaningful impact · Trust and real ownership · Opportunity to shape the future of AI

Equal Opportunity Statement:

Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.

Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.

If you need accommodations during the application process, please let us know.

Frequently Asked Questions

Is this Solutions Architect role fully remote?
Yes, Nebius explicitly welcomes remote work from anywhere in the United States or Canada. Applicants must be authorized to work in the country they apply from.
What is the salary range for this position?
The base compensation range is $208,800 to $261,000 USD annually. Final compensation depends on experience, skills, qualifications, and geographic location.
What technical skills are required for this role?
Required skills include 5–10+ years in cloud/solutions architecture, proficiency in Terraform and Ansible, experience with Kubernetes and Python, and a solid understanding of GPU computing including CUDA and ML workloads.
What benefits does Nebius offer for this role?
Nebius provides 100% company-paid medical, dental, and vision insurance for employees and families, a 401(k) with up to 4% match, 20 weeks paid parental leave for primary caregivers, and an $85/month remote work reimbursement.
Does this role require experience with specific AI frameworks?
Hands-on experience with deep learning frameworks like PyTorch or TensorFlow and HPC/ML orchestration tools like Slurm or Kubeflow are listed as bonuses but not strict requirements. Core GPU computing knowledge and cloud architecture experience are mandatory.
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