Senior Platform Engineer - AI

About the job Job Description Senior AI Platform Engineer Location: Austin, TX Remote Demographics Company: GFiber (Google Fiber/GFiber Webpass, an Alphabet company) Application Window: Open until at least June 1, 2026. May close earlier based on business needs. Visa Sponsorship: Not eligible for immigration sponsorship. Role Description GFiber is transforming its platform engineering to support AI-driven product features, focusing on agentic platforms, AI observability & security (LLMs), and AI-centric DevOps. We are seeking a Senior AI Platform Engineer to design and deploy next-generation agentic systems and LLM-powered platforms, bridging AI architecture and scalable cloud infrastructure. Machine Learning & Artificial Intelligence Responsibilities Architect and build the Internal AI Developer Platform (IDP), abstracting GCP AI services into self-service APIs, SDKs, or Terraform modules for product engineering teams. Design and build enterprise Model Gateways (unified routing layers for rate-limiting, load balancing, failovers, and unified telemetry). Build and optimize RAG (Retrieval-Augmented Generation) pipelines grounded in internal policies and technical documentation. MLOps & Deployment: Oversee deployment of microservices using GKE, Cloud SQL, and Cloud Build. Minimum Qualifications Bachelor's degree in Computer Science, a related field, or equivalent practical experience. 8 years of experience in SDLC, CI/CD pipelines, automation, troubleshooting, launching, and supporting enterprise applications (as individual contributor and Lead). 5 years of experience as a senior platform engineer, with recent years dedicated to architecting and scaling enterprise AI infrastructure, including multi-agent systems, workflow automation, and integration frameworks (e.g., A2A, 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.), plus cloud infrastructure management/automation (Terraform, Ansible, etc.). Preferred Qualifications Experience optimizing applications (stand-alone and distributed systems) for performance. Hands-on experience with Google Cloud Platform (GCP). Experience with multi-cloud environments (AWS, Azure, etc.). Problem-solving and analytical skills. Communication and teamwork skills. Compensation & Benefits Base Salary Range: $156,800 - $229,700 (US full-time) + bonus + cash award + benefits. Actual pay varies by location. Software Equal Opportunity & Accommodations GFiber is an equal opportunity employer. Disclosure is voluntary and confidential per Google's Candidate Privacy Policy. For accommodation needs, complete the accommodations for applicants form.