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Senior AI Platform Engineer
Location
United States
Posted
21 days ago
Salary
$140K - $205.5K / year
Seniority
Senior
Job Description
Senior AI Platform Engineer
Google Fiber
• Architect and build the Internal AI Developer Platform (IDP), abstracting complex GCP AI services (Vertex AI, Agent Engine, Model Garden) into self-service, "paved-path" APIs, SDKs, or Terraform modules that product engineering teams can easily consume without needing deep AI infrastructure expertise • Design and Build enterprise Model Gateways. Must have experience building unified routing layers that manage rate-limiting, load balancing, failovers, and unified telemetry, allowing the platform team to swap underlying models seamlessly without breaking downstream product applications. • Build and optimize RAG (Retrieval-Augmented Generation) pipelines grounded in internal client policies and technical documentation. • MLOps & Deployment: Oversee the deployment of microservices using GKE (Google Kubernetes Engine), Cloud SQL, and Cloud Build, ensuring scalable and reliable AI performance.
Job Requirements
- Bachelor's degree in Computer Science, a related field, or equivalent practical experience
- 8 years of experience in setting up SDLC, CI/CD pipelines, automation, troubleshooting, launching and supporting enterprise applications as an individual contributor and in a Lead capacity.
- 5 years of experience as senior platform engineer, with recent years dedicated to architecting and scaling enterprise AI infrastructure. Demonstrated expertise in building multi-agent systems, workflow automation, and implementing emerging integration frameworks (such as A2A and MCP).
- 5 years of hands-on experience with public cloud and Infrastructure as Code (IAC).
- Experience with Python, Java and GCP infrastructure tools (GKE, CloudRun, CloudFunctions, GCS, etc) and experience with cloud infrastructure management and automation technologies (Terraform, Ansible etc).
Benefits
- Bonus
- Cash award
- Benefits
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