Senior Solutions Architect, AI Cloud Services

About the role

Serve as the lead technical contact for major customers adopting GPU hardware and software, and help them build machine learning, deep learning and analytics workloads on cloud platforms.

What you will do

• Work with cloud providers to create and demonstrate solutions built on the company's software and hardware.
• Deploy large scale AI software solutions on cloud based GPU platforms.
• Create tailored proofs of concept that meet customers' key business needs.
• Team up with sales and developer relations staff to find and close business opportunities.
• Hold regular technical customer meetings covering project details, features and debugging.
• Prepare and deliver presentations and workshops on purpose built solutions.

What they look for

• Degree in electrical or computer engineering, computer science, physics or a related engineering field, or equivalent experience.
• At least four years in solutions engineering or a similar sales engineering role.
• Proven record of deploying AI and machine learning solutions on AWS, GCP, Azure or OCI.
• Familiarity with DevOps and MLOps tools such as containers, Docker and Kubernetes.
• Strong time management and the ability to juggle several tasks.
• Clear communication through documents and presentations.

Nice to have

• Professional solution architect certification for AWS, GCP, Azure or OCI.
• Hands on work with the company's GPUs and SDKs such as CUDA, Triton and TensorRT-LLM.
• Deep grasp of the software development lifecycle, system design, architectural patterns and testing.
• Working knowledge of Python and system level experience with GPU based systems.

Benefits

• Equity and benefits are part of the package.