AI Model Serving Specialist
Rackspace
About this role
This role focuses on operationalizing AI workloads for enterprise customers by deploying and optimizing model-serving platforms in Rackspace’s private and hybrid cloud environments. It sits at the intersection of AI engineering and platform operations to deliver secure, scalable, and cost-efficient inference services. The position involves close collaboration with customer-facing teams to support onboarding, reference patterns, and performance benchmarking across key industry verticals. The engineer also contributes to continuous improvement of tooling and automation for model serving and observability.
Skills
Qualifications
About Rackspace
rackspace.comRackspace Technology is a global managed cloud and multicloud solutions provider that helps organizations design, build, operate, and optimize cloud environments. The company delivers managed services across applications, data, and security and works across public clouds, private clouds, and edge environments to maximize the benefits of modern cloud. Rackspace offers professional services, cloud migration, managed hosting, security, and a marketplace of tools and solutions, supporting customers in more than 120 countries. Enterprises choose Rackspace for its technical expertise, 24/7 support, and platform-agnostic approach to reduce complexity and accelerate outcomes.
Recent company news
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2 days ago
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About Rackspace
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Leadership Team
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
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and employee contacts for Rackspace.
Salary
$142k – $191k
per year
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