Forward Deployed Engineer, Generative AI, Telecommunications, Google Cloud
Google · New York, NY
- On site
- Full-time
- $153,000 / year
- New York, NY
Job highlights
- Build AI solutions for Google Cloud customers.
- Develop production-grade agentic AI applications.
- Integrate AI products with customer infrastructure.
- Provide critical feedback to product teams.
- Collaborate with engineering and customer teams.
About the role
About The Job
As a GenAI Forward Deployed Engineer (FDE) at Google Cloud, you are an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. Unlike traditional advisory roles, you function as a "builder-consultant," moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer’s environment.You will manage blocker to production including solving the integration complexities, data readiness issues, and state-management challenges that prevent AI from reaching enterprise-grade maturity. By embedding with strategic accounts, you serve a dual purpose: providing "white glove" deployment of complex AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud’s future product roadmap.
Your primary responsibility will be to construct rapid prototype Generative AI applications tailored to Google Cloud customers, catering to a clientele ranging from early stage startups to prominent, established companies.
You will be a hybrid professional, blending the core competencies of an engineer with an aptitude for customer engagement and strategic problem-solving. This will often require you to lead with deep, bespoke implementation as the primary value proposition, ensuring that our core technology delivers demonstrable value in the customer's unique operational context.
You will have close collaboration with our product and engineering teams to eliminate obstacles and shape the future trajectory of our offerings. You will be adept at disseminating lessons learned to customers and internal Google teams, translating one-off customer solutions into reusable, scalable assets.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
- Serve as the lead developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable ROI.
- Architect and code the "connective tissue" between Google’s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters.
- Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet requirements for accuracy, safety, and latency.
- Identify repeatable field patterns and technical "friction points" in Google’s AI stack, converting them into reusable modules or product feature requests for the Engineering teams.
- Drive engineering excellence by mentoring talent, co-building with customer teams, and influencing cross-functional strategies to uplevel organizational technical capabilities.
Key skills/competency
- Generative AI
- Forward Deployed Engineer
- Google Cloud
- Python
- Machine Learning
- Foundation Models
- Prompt Engineering
- Agentic Solutions
- Cloud Platforms
- Telecommunications
Skills & topics
- Forward Deployed Engineer
- Generative AI
- Google Cloud
- Telecommunications
- Python
- Machine Learning
- Foundation Models
- Prompt Engineering
- RAG
- Agentic Solutions
- Cloud Computing
- AI Engineering
- LLM
How to get hired
- Customize your resume: Highlight Python, ML, Generative AI, and cloud deployment experience relevant to Google Cloud.
- Showcase cloud expertise: Detail your experience architecting and managing solutions on cloud platforms, especially Google Cloud.
- Demonstrate AI application building: Provide examples of designing, fine-tuning, or orchestrating foundation models for practical solutions.
- Tailor your application: Emphasize any experience with telecommunications use cases or advanced agentic system frameworks.
- Prepare for technical interviews: Be ready to discuss AI concepts, coding challenges, and system design related to AI deployment.
Technical preparation
Master Python and ML libraries (Keras, Transformers).,Practice prompt engineering and RAG techniques.,Build AI solutions on a cloud platform.,Develop multi-agent systems and workflows.
Behavioral questions
Describe a complex AI integration challenge.,How do you translate field insights into product improvements?,Explain your approach to mentoring junior engineers.,How do you manage customer expectations on AI projects?
Frequently asked questions
- What specific Generative AI technologies are used by the Forward Deployed Engineer role at Google Cloud?
- The Forward Deployed Engineer role focuses on building and deploying production-grade Generative AI applications. This includes working with foundation models, prompt engineering, fine-tuning, Retrieval-Augmented Generation (RAG), and orchestrating model interactions with external tools. Experience with frameworks like LangGraph or CrewAI for multi-agent systems is also valuable.
- What are the primary responsibilities of a Forward Deployed Engineer at Google Cloud?
- As a Forward Deployed Engineer (FDE), your primary responsibilities include acting as an embedded builder to bridge frontier AI products and production realities for customers. This involves coding, debugging, and deploying bespoke agentic solutions, managing integration complexities, and providing feedback to Google's product roadmap.
- Does the Forward Deployed Engineer role at Google Cloud require experience in the telecommunications industry?
- While not strictly mandatory, experience delivering AI solutions specifically for telecommunications use cases is a preferred qualification. This could include applications in network optimization, churn prediction, or customer experience enhancement, making it a strong advantage for candidates.
- What is the expected technical background for a Forward Deployed Engineer focusing on Generative AI?
- A Bachelor's degree in a STEM field or equivalent experience is required, with a strong emphasis on Python and machine learning packages like Keras and Hugging Face Transformers. Experience in applied AI, especially with foundation models and cloud platform deployment, is crucial.
- How does this role differ from a traditional advisory role at Google Cloud?
- Unlike traditional advisory roles, the GenAI Forward Deployed Engineer acts as a "builder-consultant." This means you go beyond high-level architecture to actively code, debug, and deploy solutions directly within customer environments, functioning as an embedded builder rather than an external advisor.
- What is the compensation range for this Forward Deployed Engineer position at Google?
- The US base salary range for this full-time position is $153,000-$222,000 annually, not including bonuses, equity, or benefits. The exact salary will depend on factors such as your work location, experience, and skills.
- What are the preferred qualifications for the Generative AI Forward Deployed Engineer role?
- Preferred qualifications include a Master's or PhD in AI/Computer Science, experience with AI for telecommunications, implementing multi-agent systems with specific frameworks, understanding LLM-native metrics, and implementing secure agentic workflows.