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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Platform Engineer - AI - **Company:** Google LLC - **Location:** Denver, CO, United States - **Experience:** Expert - **Salary:** $156,800.0 - $229,700.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Engineering, Continuous Integration, DevOps, Distributed Systems, Python (Programming Language), Performance Tuning, Systems Development Life Cycle, Ansible, AI Infrastructure, Google Cloud, Enterprise Software Applications, Load Balancing, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, Multi-Cloud, Infrastructure as Code (IaC), Build Server, Build Management, AI Platforms, Kubernetes, Information Technology, Integration Frameworks, Machine Learning Operations, Text Summarization, Terraform, Microservices - **Published:** August 6, 2026 - **Apply:** https://dejobs.org/x/x/9D1D79C7E17340E2A5DCEE307373F450/job/ ## About the Role * 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) It's preferred if you have: * 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 ## Description GFiber is currently at a transformative crossroads. As we ramp up investments in AI-driven product features, the Platform Engineering team is the engine room for this evolution. We are modernizing our foundational systems to support a new generation of AI initiatives, focusing on: * Agentic Platforms : Building the frameworks for autonomous AI agents. * AI Observability & Security : Implementing guardrails and monitoring specifically for LLMs. * AI-Centric DevOps : Developing specialized CI/CD pipelines and automated testing frameworks tailored for AI Agents and machine learning workflows. We are seeking a Senior AI Platform Engineer to lead the charge in designing and deploying our next-generation agentic systems and LLM-powered platforms. In this high-impact role, you will bridge the gap between cutting-edge AI Architecture and scalable Cloud Infrastructure. You'll be architecting the entire ecosystem-utilizing advanced prompt engineering, LLM stack and DevOps practices to build AI Platform and optimize GFiber's enterprise workflows. You will be a champion for engineering excellence, driving automation strategies and sophisticated infrastructure standards across our entire product suite. In this role, you'll: * 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. ## Related Videos - [Dev & Test in the Cloud? Deploy your cloud environments with Ansible & Terraform](https://www.wearedevelopers.com/videos/1607-dev-test-in-the-cloud-deploy-your-cloud-environments-with-ansible-terraform) - [AI-Augmented DevOps with Platform Engineering](https://www.wearedevelopers.com/videos/1614-ai-augmented-devops-with-platform-engineering) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Infrastructure as Code: The Developer's Secret Weapon](https://www.wearedevelopers.com/videos/1221-infrastructure-as-code-the-developer-s-secret-weapon) - [Terraform for Developers](https://www.wearedevelopers.com/videos/3-terraform-for-developers) - [#90DaysOfDevOps - The DevOps Learning Journey](https://www.wearedevelopers.com/videos/548-90daysofdevops-the-devops-learning-journey) ## Related Articles - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [SEO in an AI world - Google vs. ChatGPT and survival tips for content creators](https://www.wearedevelopers.com/magazine/534-seo-in-an-ai-world-google-vs-chatgpt-and-survival-tips-for-content-creators) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai)