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AI Model Serving Specialist

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Rackspace

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Location:
United States

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

82300.00 - 140580.00 USD / Year
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Job Description:

Enable enterprise customers to operationalize AI workloads by deploying and optimizing model-serving platforms (e.g., NVIDIA Triton, vLLM, KServe) within Rackspace’s Private Cloud and Hybrid environments. This role bridges AI engineering and platform operations, ensuring secure, scalable, and cost-efficient inference services.

Job Responsibility:

  • Package and deploy ML/LLM models on Triton, vLLM, or KServe within Kubernetes clusters
  • Tune performance (batching, KV-cache, TensorRT optimizations) for latency and throughput SLAs
  • Work with VMware VCF9, NSX-T, and vSAN ESA to ensure GPU resource allocation and multi-tenancy
  • Implement RBAC, encryption, and compliance controls for sovereign/private cloud customers
  • Integrate models with Rackspace’s Unified Inference API and API Gateway for multi-tenant routing
  • Support RAG and agentic workflows by connecting to vector databases and context stores
  • Configure telemetry for GPU utilization, request tracing, and error monitoring
  • Collaborate with FinOps to enable usage metering and chargeback reporting
  • Assist solution architects in onboarding customers, creating reference patterns for BFSI, Healthcare, and other verticals
  • Provide troubleshooting and performance benchmarking guidance
  • Stay current with emerging model-serving frameworks and GPU acceleration techniques
  • Contribute to reusable Helm charts, operators, and automation scripts

Requirements:

  • Hands-on experience with NVIDIA Triton, vLLM, or similar serving stacks
  • Strong knowledge of Kubernetes, GPU scheduling, and CUDA/MIG
  • Familiarity with VMware VCF9, NSX-T networking, and vSAN storage classes
  • Proficiency in Python and containerization (Docker)
  • Understanding of observability stacks (Prometheus, Grafana) and FinOps principles
  • Exposure to RAG architectures, vector DBs, and secure multi-tenant environments
  • Excellent problem-solving and customer-facing communication skills

Nice to have:

  • NVIDIA Certified Professional (AI/ML)
  • Kubernetes Administrator (CKA)
  • VMware VCF Specialist
  • Rackspace AI Foundations (internal)
What we offer:
  • Incentive compensation opportunities in the form of annual bonus or incentives
  • Equity awards
  • Employee Stock Purchase Plan (ESPP)

Additional Information:

Job Posted:
January 04, 2026

Employment Type:
Fulltime
Work Type:
Remote work
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