Cloud Solutions Architect, Pre-Sales (Cloud & MLOps)

Job DescriptionJob DescriptionAbout the Company

Our client is a publicly traded company at the forefront of the AI revolution, offering an AI-centric cloud platform that's reshaping the landscape of artificial intelligence. The company provides cutting-edge infrastructure, including large-scale GPU clusters, cloud platforms, tools, and services for developers to service the explosive growth of the global AI industry for Fortune 1000 companies, top-tier innovative startups, and AI researchers.

• Company type: Publicly traded

• Industry: AI/ML, Cloud Computing, Infrastructure-as-Code

• Candidate Location: Remote U.S.

Their mission is to democratize access to AI infrastructure and empower organizations to create, optimize, and deploy AI solutions at any scale. They aim to simplify the complexities of AI development by providing a full-stack AI platform that combines powerful hardware with user-friendly tools and services.

The Opportunity

We are seeking a Cloud Solutions Architect (Pre-Sales) to join our client's team. This role offers an exciting opportunity to work with state-of-the-art AI and cloud technologies, including the latest NVIDIA GPUs, and contribute to one of the most powerful commercially available supercomputers.

What You'll Do

• Act as a trusted advisor to clients, providing technical expertise and guidance throughout engagements

• Conduct PoCs, workshops, presentations, and training sessions on GPU cloud technologies and best practices

• Collaborate with clients to understand their business requirements and develop solution architectures

• Design and document Infrastructure as Code solutions, technical documentation, and how-tos

• Help customers optimize pipeline performance and scalability

• Serve as a single point of expertise for customer scenarios across product, technical support, and marketing teams

• Assist with marketing efforts during events such as hackathons, conferences, and webinars

What You Bring

• 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 IaC and configuration management tools (preferably Terraform/Ansible), Kubernetes, and Python coding skills

• Solid understanding of GPU computing practices for ML training and inference workloads

• Excellent communication skills and a customer-centric mindset

• Hands-on experience with HPC/ML orchestration frameworks and deep learning frameworks

• Solid understanding of the cloud ML tools landscape from industry leaders

Key Success Drivers

• Self-starter who thrives in a fast-paced, evolving startup environment

• Collaborative team player who can work effectively across different departments and cultures

• Results-oriented with a strong sense of ownership and accountability

• Innovative problem-solver who can identify new opportunities for growth

• Continuous learner, eager to stay updated on the latest AI and cloud computing trends

• High ethical standards and integrity, with a commitment to responsible AI development

• Passionate about democratizing access to AI infrastructure

Why Join?

• Competitive compensation ranging from $180,000 to $300,000 per year (negotiable based on experience and location)

• Comprehensive benefits package including 100% company-paid medical, dental, and vision coverage for employees and families

• 401(k) plan with a 4% match program

• Stock options plan

• Flexible remote work environment

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

• Up to $85/month for mobile and internet

• Opportunity to work with cutting-edge AI and cloud technologies

• Contribute to sustainable AI infrastructure with energy-efficient data centers

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

Interviewing Process

• Level 1 - Virtual interview with the Technical Recruitment Lead (Screening)

• Level 2 - Virtual interview with the Hiring manager (In-depth interview)

• Level 3 - Technical Assessment (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 , , , , , , marital status, ancestry, physical or mental , genetic information, veteran status, , or expression, , or any other characteristic protected by applicable federal, state or local law.

Compensation Range: $180K - $300K