workable
Forward Deployed Engineer (Generative AI)
Tiger Analytics Inc.
Remote, CAN
Full-time
Senior
Remote
Discovered 3 weeks ago
Vertex AI Agent BuilderAgent Developer Kit (ADK)MCP (Model Context Protocol) ToolboxModel GardenVertex AI PipelinesRunInference API
Free
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Role Overview
The Forward Deployment Engineer (FDE) drives the on-site deployment, integration, and scaling of our enterprise Generative AI solutions. This role embeds directly within customer engineering teams to operationalize Large Language Models (LLMs) and retrieval systems across multi-cloud environments (AWS, Azure, GCP). You will bridge the gap between AI research and production-grade cloud infrastructure.
You will collaborate with cross-functional teams and business partners and will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.
Key Skills for This Role
Vertex AI Agent BuilderAgent Developer Kit (ADK)MCP (Model Context Protocol) ToolboxModel GardenVertex AI PipelinesRunInference API
Full Job Posting
Role Overview
The Forward Deployment Engineer (FDE) drives the on-site deployment, integration, and scaling of our enterprise Generative AI solutions. This role embeds directly within customer engineering teams to operationalize Large Language Models (LLMs) and retrieval systems across multi-cloud environments (AWS, Azure, GCP). You will bridge the gap between AI research and production-grade cloud infrastructure.
You will collaborate with cross-functional teams and business partners and will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.
Requirements
- Agentic Design & Implementation ● Develop intelligent agents using Vertex AI Agent Builder to automate complex business workflows. ● Leverage the Agent Developer Kit (ADK) to build and manage multi-agent systems that collaborate to solve end-to-end business challenges. ● Implement tools like MCP (Model Context Protocol) Toolbox to securely connect agents to enterprise databases like BigQuery and Spanner.
- AI on Data Strategy ● Utilize Vertex AI for model training, tuning, and deployment, ensuring seamless integration with BigQuery for feature engineering. ● Build and optimize streaming data pipelines (e.g., via Dataflow) to execute real-time inference using RunInference API or Vertex AI endpoints. ● Ground AI models in live business context using vector engines within BigQuery or AlloyDB to eliminate "AI amnesia".
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