Pre-Sales Solutions Architect (Cloud & MLOps)

Job Description

Job Description

About the Company

Our client is at the forefront of the AI revolution, providing cutting-edge infrastructure that's reshaping the landscape of artificial intelligence. They offer an AI-centric cloud platform that empowers Fortune 500 companies, top-tier innovative startups and AI researchers to drive breakthroughs in AI. The company is committed to building full-stack infrastructure to service the explosive growth of the global AI industry, including large-scale GPU clusters, cloud platforms, tools, and services for developers.

Company Type : Publicly traded

Product : AI-centric GPU cloud platform & infrastructure for training AI models

Candidate Location : Remote anywhere in the US

Their mission is to democratize access to world-class AI infrastructure, enabling organizations of all sizes to turn bold AI ambitions into reality. At the core of their success is a culture that celebrates creativity, embraces challenges, and thrives on collaboration.

The Opportunity

We're seeking a Solutions Architect, Pre-Sales to join our client's dynamic team. This role offers a unique chance to shape the adoption of AI technology and work with cutting-edge cloud and AI infrastructure. As a trusted advisor, you'll help clients leverage GPU-powered cloud solutions to optimize their AI and machine learning workflows.

What You'll Do

Serve as a trusted technical advisor to clients on GPU cloud technologies

Conduct PoCs, workshops, and training sessions to educate clients

Develop tailored solution architectures based on client requirements

Design and document Infrastructure as Code solutions

Optimize client pipeline performance, scalability and resource utilization

Act as the primary expert on customer scenarios for Product, Technical support, and Marketing teams.

What You Bring

At least 5 years of experience as a Cloud Solutions Architect, System / Network Engineer, Developer, or similar technical role focused on cloud computing

Strong hands-on experience with Infrastructure as Code and configuration management tools (Terraform, Ansible), Kubernetes, and Python coding skills

Solid understanding of GPU computing practices for ML training and inference workloads, including GPU software stack components (CUDA, OpenCL)

Ideally, experience with HPC / ML orchestration frameworks (Slurm, Kubeflow) and deep learning frameworks (TensorFlow, PyTorch)

Knowledge of cloud ML tools from industry leaders (NVIDIA, AWS, Azure, Google)

Bachelor's degree in a relevant field (advanced degree is a plus)

Excellent communication skills

Key Attributes for Success

Passion for AI and transformative technologies

Results-driven mindset and problem-solver mentality

Adaptability and ability to thrive in a fast-paced startup environment

Comfortable working with an international team and diverse client base

Why Join?

Competitive compensation : $140,000-$175,000 per year

Full medical benefits : 100% company-paid medical, dental, and vision coverage for employees and families

401(k) plan with a 4% match program with immediate vesting

Company-paid short-term, long-term, and life insurance coverage

20 weeks paid parental leave for primary caregivers, 12 weeks for secondary caregivers

Company-paid short-term, long-term, and life insurance coverage

Flexible remote work environment

Up to $85 / month for mobile and internet

Startup culture with stability : excitement and innovation of a startup backed by the resources of an established company

Work with state-of-the-art AI and cloud technologies, including the latest NVIDIA GPUs (H100, L40S, with H200 and Blackwell chips coming soon)

Be part of a team that operates one of the most powerful commercially available supercomputers

Contribute to sustainable AI infrastructure, with energy-efficient data centers that recover waste heat to warm nearby residential buildings

Interviewing Process

Level 1 - Interview with the Talent Acquisition Lead (General fit. Q&A)

Level 2 - Interview with the Hiring Manager (Skills assessment)

Level 3 - Interview with the C-level (Final)

Reference and Background Checks : conducted after successful interviews

Job Offer : provided to the selected candidate

We are proud to be an equal opportunity workplace and are committed to equal employment opportunity regardless of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity, or expression, sexual orientation, or any other characteristic protected by applicable federal, state or local law.

Compensation Range : $140K - $180K

Salary : $140,000 - $180,000