Forward Deployed Engineer III, Generative AI, Google Cloud
New York, NY, USA +10 · Full-time · Posted May 22, 2026
- Location
- New York, NY, USA
Austin, TX, USA
Chicago, IL, USA
Detroit, MI, USA
Houston, TX, USA
Pittsburgh, PA, USA
San Francisco, CA, USA
Washington D.C., DC, USA
Cambridge, MA, USA
Addison, TX, USA
Reston, VA, USA - Experience
- 5 years of software development experience; additional experience requirements are not specified.
- Education
- Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
About the job
Embeds with Google Cloud customers to build, integrate, evaluate, and deploy production-grade generative AI and agentic applications, while feeding field insights back to product teams.
What you'll do
- Code and transition AI prototypes into production-grade agentic workflows that deliver measurable ROI.
- Integrate Google AI products with customer infrastructure and build evaluation and observability pipelines for accuracy, safety, and latency.
- Identify recurring customer needs, develop reusable solutions or product requests, and co-build with customer engineering teams.
What they ask for
- Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
- 5 years of experience with software development using Python or similar coding languages.
- Experience architecting AI systems on cloud platforms; launching production-grade AI-driven solutions for customers; and leading technical discovery sessions with customers.
- Experience building structured and unstructured data pipelines using vector databases and retrieval-augmented generation (RAG)-like architectures.
Nice to have
- Master’s or PhD in AI, Computer Science, or a related technical field.
- Experience implementing multi-agent systems; knowledge of LLM-native metrics, state management, and tracing.
Pay
$174000 - $252000 (USD) base salary
Tools
Python, GCP, Gemini, Vertex AI, MCP, LangGraph, CrewAI, ADK
AI focus
Builds and deploys generative AI and agentic systems, including multi-agent workflows, data retrieval architectures, evaluation, and observability.
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