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Senior AI Platform Engineer & Architect (MLOps, Kubernetes, Distributed Systems)

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Design and optimize scalable, low-latency AI/ML model-serving architectures for real-time inference workloads. Lead Kubernetes-based deployments, API integrations, and MLOps pipelines while ensuring reliability, performance, and observability. Collaborate cross-functionally to deliver enterprise-grade AI solutions with focus on scalability, security, and operational excellence.

Key Highlights
Lead design and implementation of high-availability, low-latency AI/ML model-serving architectures for real-time inference
Standardize deployment patterns for scalable AI/ML services on Kubernetes with focus on autoscaling, caching, and performance optimization
Drive CI/CD integration, monitoring, observability, and reliability engineering for production AI platforms
Key Responsibilities
Design and implement highly available, low-latency model-serving architectures for real-time inference workloads
Develop and standardize deployment patterns for scalable AI/ML services across Kubernetes-based platforms
Lead API-based inference service design, integration, deployment, and lifecycle management with focus on performance optimization
Establish monitoring, observability, SLOs/SLAs, alerting, and operational runbooks for production services
Drive load testing, capacity planning, resiliency engineering, and disaster recovery readiness for AI platforms
Integrate inference platforms with CI/CD pipelines to enable automated deployments and controlled releases
Collaborate with Data Science, Platform Engineering, MLOps, and Infrastructure teams to ensure reliable production model operations
Establish operational best practices, security standards, reliability measures, and performance benchmarks for enterprise AI deployments
Technical Skills Required
Kubernetes Distributed Systems Python
Benefits & Perks
Hourly rate of $71/hour (DOE)
W-2 or 1099 contract options
Work authorization for US-Citizen, H-1B, OPT-EAD, GC-EAD
Nice to Have
MLOps platforms and enterprise AI deployment frameworks
Real-time recommendation, fraud detection, or predictive analytics platforms
GPU-based inference, model optimization, and multi-cloud deployments
Java, Go, or similar backend programming languages

Job Description

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Job Overview
  • Job ID:

J53243
  • Job Title:

AI Platform Engineer & Architect
  • Location:

Concord, CA
  • Duration:

12 Months + Extension
  • Hourly Rate:

Depending on Experience (DOE)
  • Work Authorization:

US Citizen, Green Card, OPT-EAD, CPT, H-1B,H4-EAD, L2-EAD, GC-EAD
  • Client:

To Be Discussed Later
  • Employment Type:

W-2, 1099, C2CView All JobsSimilar Jobs
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Location: Concord, CA
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