Cloud Solutions Architect

Reposted 3 Days Ago
Hiring Remotely in Jersey Wharf, New York, NY
In-Office or Remote
Mid level
Artificial Intelligence • Automotive • Information Technology • Software
The Role
Design and implement scalable cloud and on-premise architectures for enterprise customers, ensuring seamless deployment and integration with their IT environments. Serve as the primary technical contact to guarantee customer satisfaction and compliance with IT assessments.
Summary Generated by Built In

As a Cloud Solutions Architect, you will help enterprise customers successfully deploy and integrate our platform by designing and implementing scalable architectures on cloud (AWS, Azure, GCP) and on-premise (HPC, VM) environments. Your work will ensure seamless adoption, directly contributing to how global engineering teams design and deliver products. This is a unique opportunity to be at the intersection of engineering and AI, working with top-tier clients worldwide while shaping the future of industrial innovation.

What you will do

  • Design and implement scalable deployment architectures for enterprise customers, ensuring seamless integration into their IT environments.

  • Deploy and manage cloud, hybrid, and on-premise infrastructures using Kubernetes, Docker, Singularity, and other containerization tools.

  • Act as the primary technical contact for customers during onboarding, deployment, and troubleshooting, ensuring smooth adoption and long-term satisfaction.

  • Respond to IT and security assessments, addressing compliance requirements across security, networking, and data privacy.

  • Collaborate with Product, R&D, and Platform teams to refine deployment processes, improve scalability, and deliver customer feedback into product improvements.

  • Create and maintain technical documentation, playbooks, and implementation guides to support both internal teams and customer enablement.

Who you are

  • Education: Advanced degree in Computer Science, Engineering, or related field (or equivalent professional experience).

  • Experience: At least 4 years of hands-on experience deploying enterprise software in cloud and/or HPC environments.

  • Technical Skills (mandatory): Production experience with Kubernetes, Docker, and/or Singularity. Proficiency in AWS, Azure, or GCP, with strong knowledge of networking and security fundamentals.

  • Technical Skills (nice to have): Familiarity with Terraform, OAuth2, SAML, Slurm, Networking, Prometheus, and Grafana.

  • Customer-facing skills: Proven track record of working directly with enterprise customers to scope, deploy, and maintain infrastructure.

  • Mindset: Clear and proactive communicator, with the ability to act as a trusted advisor and balance technical depth with customer needs.

You Get

  • Work with a world-class technology team – our engineers are top-notch, and we always aim for excellence.

  • Benefit from a competitive salary and rewarding opportunities as we continue to scale.

  • Thrive in a collaborative, multicultural environment where your work is visible and recognized.

  • Develop professionally alongside talented colleagues who share knowledge freely and support one another.

  • Make a global impact by helping customers shift to AI-assisted design, making innovation faster, smarter, and more sustainable.

  • Balance life and work with remote work or hybrid model (20% remote) —we care about results, not rigid schedules.

  • Enjoy 25 days of paid vacations per year, healthcare (medical/vision/dental), 401K matching

Where You Will Be

  • Remote or New Jersey office

  • Travelling: This position will require travelling to customer locations in the US.

  • Start date: ASAP

  • Eligibility: US citizen only

We're proud to be an equal opportunity employer, and we're committed to building a diverse and inclusive environment where you can thrive.

Top Skills

AWS
Azure
Docker
GCP
Grafana
Kubernetes
Oauth2
Prometheus
SAML
Singularity
Slurm
Terraform
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The Company
HQ: Lausanne
91 Employees
Year Founded: 2018

What We Do

Neural Concept is revolutionizing engineering with AI.
We provide a leading end-to-end platform that places AI at the center of the product development process, helping engineers design faster, smarter, and better. Our Engineering Intelligence platform empowers teams to build and deploy AI-driven workflows that drastically shorten development cycles, boost design quality, and increase competitiveness — all while embedding the team’s know-how into the tools they use every day.

Spun out from EPFL in 2018, Neural Concept works with over 70% of the world’s largest OEMs and 40 of the top 100 Tier-1 suppliers.
Neural Concept is backed by Forestay Capital and the D.E. Shaw group.

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