Note: The job is a remote job and is open to candidates in USA. GFiber, an Alphabet company providing Google Fiber and Google Fiber Webpass internet services, is seeking a Senior AI Platform Engineer. The role leads the design and deployment of agentic systems and LLM-powered platforms, including internal AI developer platforms, enterprise model gateways, RAG pipelines, and scalable cloud-based AI infrastructure.
Responsibilities
- 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
Skills
- ***This role is not eligible for immigration sponsorship.***
- * 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)
- * Experience optimizing applications, both stand-alone and in distributed systems to maximize performance
- * Hands-on experience with Google Cloud Platform (GCP)
- * Experience with multi-cloud environments and other cloud providers (AWS, Azure, etc.)
- * Problem-solving and analytical skills
- * Communication and teamwork skills
Benefits
- Bonus
Company Overview