Forward Deployed Engineer IV, GenAI, Google Cloud
Seattle, WA, USA +10 · Full-time · Posted Jul 29, 2026
- Location
- Seattle, WA, USA
San Francisco, CA, USA
Sunnyvale, CA, USA
New York, NY, USA
Kirkland, WA, USA
Houston, TX, USA
Detroit, MI, USA
Addison, TX, USA
Chicago, IL, USA
Cambridge, MA, USA
Austin, TX, USA - Experience
- 8 years of software development experience; no other years specified.
- Education
- Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
About the job
Build and deploy production-grade generative AI applications for Google Cloud customers, while turning field learnings into reusable solutions and product feedback.
What you'll do
- Code and launch agentic workflows, including multi-agent systems and MCP servers, moving prototypes into production.
- Integrate Google AI products with customer infrastructure, and build evaluation and observability frameworks for accuracy, safety, and latency.
- Identify repeatable customer needs, develop reusable modules or product requests, and promote development best practices with Customer Engineering teams.
What they ask for
- Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
- 8 years of software development experience using Python or similar coding languages.
- Experience building structured and unstructured data pipelines using vector databases and RAG-like architectures for enterprise AI.
- Experience taking production-grade AI solutions from conception to customer launch, architecting cloud AI systems, and leading customer technical discovery.
Nice to have
- Master’s degree or PhD in AI, Computer Science, or a related technical field.
- Experience implementing multi-agent systems with frameworks such as LangGraph, CrewAI, or ADK; knowledge of LLM-native metrics and state-management and tracing optimization.
Pay
$207000 - $300000 (USD) base salary
Tools
Python, Google Cloud Platform (GCP), vector databases, RAG, MCP servers, LangGraph, CrewAI, ADK
AI focus
Build, deploy, evaluate, and improve production-grade generative AI and agentic systems for enterprise customers.
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