What are the responsibilities and job description for the Presales AI Architect position at Sterling Computers Corporation?
Job Description
Job Description
Title : Presales AI Architect
Reports To : Director of Advanced Solutions Engineering
Location : Remote - United States
Job Description : At Sterling, Artificial Intelligence is transforming how we do business, and how our customers do as well. With the explosion of AI in the past year we have seen a huge uptick in AI solutions being required for Analytics, Computer Vision, LLMs, Machine Learning, and more. To continue this transformation, we’re seeking an experienced AI Infrastructure Architect who has expertise in the implementation of AI projects across multiple vendors and worked in a pre-sales motion. The ideal candidate will have a firm grasp of Machine Learning, LLMs, Chatbot use cases, Data Analytics and have an ability to build solutions to help our customers learn to utilize AI safely, and securely. Extensive knowledge of AI from ideation to realization, and advanced industry knowledge are essential to keep Sterling on the cutting edge. The AI Infrastructure Architect Pre-Sales will have an immediate impact on the day-to-day efficiency of Advanced Solutions group and an ongoing impact on Sterlings growth.
Required Technical Skills : Our AI Infrastructure Architect should be proficient in building solutions for our customers combining OEM solutions(Nvidia, Dell, Google, AWS, Chooch, etc.) with services to help our customer realize what is possible with AI. Experience using data handling, GPU enablement, basic Datacenter understanding a plus. General Microsoft office proficiency is required.
Required Education / Experience : The AI Infrastructure Architect should have a minimum of 3 years of experience in the AI space and prior experience with Machine Learning is desired. Additionally, understanding of Cloud / Datacenter experience required. A high school diploma or equivalent is required and post-secondary education in Computer science, Computer Systems, or a related field is preferred.
Core Technical Skillset Requirements (experience with one or more in each group)
- AI / ML : should have desire to track AI / ML technology trends, understand AI models and algorithms, ability to work with large datasets : cleaning, analysis, and interpretation. Familiar with Python, R, Java and TensorFlow / PyTorch. Experience with NVIDIA, Intel, AMD, DataBricks and other AI vendors.
- Cloud : should be familiar with cloud computing technologies, including public, private, and hybrid clouds, and be able to recommend the best cloud solution based on customer requirements. Must be familiar with : AWS, Azure, Google, Oracle, Gov Clouds
- Storage : must have knowledge of storage architecture, including storage area networks (SANs), network-attached storage (NAS), and software-defined storage such as : vSAN, Dell, HPE, Pure Storage, NetApp, NetApp, Pure Storage, Qumulo and VAST.
- Network Architecture : should have in-depth knowledge of AI network requirements, including software-defined networking (SDN) and network virtualization such as : Cisco, Fortinet, Palo Alto, Juniper, Extreme, Ruckus, VMware and HPE / Aruba
Additional Technical Fundamentals (high level familiarity with each group)
The minimum requirements for this SE role are outlined in the five categories below :
Ability to communicate, coordinate, and work effectively with sales, engineering, leadership and services delivery teams.
Primary Responsibilities :
Sterling Computers is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, disability, military status, national origin or any other characteristic protected under federal, state or applicable local law.