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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Forward Deployed Engineer IV, Applied AI, Google Cloud - **Company:** Google LLC - **Location:** Washington, DC, United States - **Experience:** Expert - **Salary:** $207,000.0 - $301,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Cloud Computing, Software Debugging, IT Management, Intrusion Detection Systems, Python (Programming Language), Rapid Prototyping Process, Software Engineering, Google Cloud, ReactJS, Multi-Agent Systems, Information Technology, Machine Learning Operations, Terraform, Programming Languages, Microservices - **Published:** July 23, 2026 - **Apply:** https://www.careerjet.com/job/us6caa06ba74c94e44f2b48a2ab5c8a4e5/eaa ## About the Role * 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). Preferred qualifications: * Master's degree 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 As a Forward Deployed Engineer (FDE) in Applied AI, you will be the Agent Engineer and the primary driver for our customers' most critical AI initiatives. You will take initial conversational prototypes and transform them into production-ready solutions, owning the end-to-end engineering lifecycle, including the transition from art of the possible to real-world business value and scalable, secure AI systems. This is a high-travel, role focused on leading technical delivery for conversational AI pilots and establishing the first customer user journeys (CUJs) for our largest customers at their sites. You will have an understanding of software engineering, Machine Learning operations, and cloud infrastructure. It's an exciting time to join Google Cloud's Go-To-Market team, leading the AI revolution for businesses worldwide. You'll excel by leveraging Google's brand credibility-a legacy built on inventing foundational technologies and proven at scale. We'll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We're a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era-the market is yours. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $207000 - $301000 (USD) + 20% bonus target + equity + benefits Learn more about . Responsibilities * 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 and If you have a disability or special need that requires accommodation, please let us know by completing our . ## 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) - [Terraform for Developers](https://www.wearedevelopers.com/videos/3-terraform-for-developers) - [A Computer Is All You Need](https://www.wearedevelopers.com/videos/100142-a-computer-is-all-you-need) ## Related Articles - [Got AI ideas but no money? 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