> Markdown version of [/jobs/ext/268896-forward-deployed-engineer-iv-applied-ai-google-cloud](https://www.wearedevelopers.com/jobs/ext/268896-forward-deployed-engineer-iv-applied-ai-google-cloud). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Forward Deployed Engineer IV, Applied AI, Google Cloud - **Company:** Google LLC - **Location:** Portland, OR, United States - **Experience:** Expert - **Salary:** $207,000.0 - $300,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Software Debugging, IT Management, Intrusion Detection Systems, Python (Programming Language), Rapid Prototyping Process, Software Engineering, Google Cloud, ReactJS, Multi-Agent Systems, Information Technology, Terraform, Programming Languages, Microservices - **Published:** May 26, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=0774562d4a3937b0 ## About the Role Do you have experience in Tooling?, Do you have a Master's degree?, * Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience. * 8 years of experience with software development using Python or similar coding languages. * Experience deploying resources via Terraform or similar tools to automate the setup of agents, functions, or networking. * Experience building full-stack applications that interact with enterprise IT infrastructures and developing external customer projects. * Experience architecting AI systems on cloud platforms (e.g., Google Clloud Platform (GCP)., * Master's or PhD in AI, Computer Science, or a related technical field. * Experience implementing multi-agent systems using frameworks like ReAct and self-reflection. * Experience debugging agent logic and optimizing tool selection, including tracing conversation identifications (IDs) across microservices to identify and resolve failures in real-time. * Experience connecting agents to enterprise knowledge bases and optimizing retrieval-augmented Generation (RAG) chunking to prevent hallucinations. * Track record of troubleshooting live, high-traffic systems during critical windows. * Ability to travel up to 50% of the time. ## Description * Serve as the lead developer for conversational AI and customer experience applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, model context protocol (MCP) servers) that drive measurable return on investment. * Architect and code conversational flows that are functional, and optimized for the connective tissue between Google's conversational AI products and customers' live infrastructure, including APIs, legacy data silos, and security perimeters. * Build high-performance evaluation pipelines and observability frameworks to optimize agentic workloads, focusing on reasoning loops, tool selection, and reducing latency while maintaining production-grade security and networking. * Identify repeatable field patterns and technical friction points in Google's Applied Artificial Intelligence (AAI) stack, converting them into reusable modules or product feature requests for Engineering teams. * Co-build with customer engineering teams to instill Google-grade development best practices, ensuring project success and end-user adoption. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form. ## Related Videos - [The Cloud is Calling: Answer with In-Demand Skills](https://www.wearedevelopers.com/videos/945-the-cloud-is-calling-answer-with-in-demand-skills) - [Designing and Deploying Distributed Multimodal Multi-Agent Systems with Google's AI Stac](https://www.wearedevelopers.com/videos/1976-designing-and-deploying-distributed-multimodal-multi-agent-systems-with-google-s-ai-stac) - [Watch Tests Go Brrrr! : Getting Started with Cypress in ReactJS](https://www.wearedevelopers.com/videos/282-watch-tests-go-brrrr-getting-started-with-cypress-in-reactjs) - [Infrastructure as Code: The Developer's Secret Weapon](https://www.wearedevelopers.com/videos/1221-infrastructure-as-code-the-developer-s-secret-weapon) - [A Computer Is All You Need](https://www.wearedevelopers.com/videos/100142-a-computer-is-all-you-need) - [Terraform for Developers](https://www.wearedevelopers.com/videos/3-terraform-for-developers) ## 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) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)