Forward Deployment Engineer: Generative AI for Enterprise

Tiger Analytics

New York, Northern (NY, KY)

Hybrid

USD 150,000 - 230,000

Full time

6 days ago
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Job summary

Tiger Analytics is seeking an experienced Forward Deployment Engineer (Generative AI) to drive on-site deployment and integration of enterprise Gen AI solutions. You will work directly with customer engineering teams to operationalize LLMs and retrieval systems across multi-cloud environments, bridging research and production-grade infrastructure.

You will collaborate cross-functionally to translate business goals into scalable architectures, deliver real value for Fortune 500 clients, and

Qualifications

  • Vertex AI Mastery: Model Garden, Vertex AI Pipelines, and model evaluation.
  • Data proficiency: SQL for BigQuery, Python for ML, data preprocessing.
  • Cloud infrastructure: Google Cloud Storage and Vertex AI endpoints.
  • Emerging tech: Stateful real-time processing and agentic architectures.

Responsibilities

  • Develop intelligent agents using Vertex AI Agent Builder to automate complex business workflows.
  • Leverage ADK to build and manage multi-agent systems that collaborate on end-to-end challenges.
  • Implement MCP Toolbox to securely connect agents to BigQuery and Spanner.
  • Utilize Vertex AI for model training, tuning, and deployment with BigQuery feature engineering.
  • Ground AI models in live business context using vector engines in BigQuery/AlloyDB.

Skills

Vertex AI Mastery
Data proficiency
Cloud infrastructure knowledge
Emerging tech familiarity

Tools

BigQuery
Spanner
Dataflow
Google Cloud Storage

Job description

Tiger Analytics is seeking an experienced Forward Deployment Engineer (Generative AI) to drive on-site deployment and integration of enterprise Gen AI solutions. You will work directly with customer engineering teams to operationalize LLMs and retrieval systems across multi-cloud environments, bridging research and production-grade infrastructure.

You will collaborate cross-functionally to translate business goals into scalable architectures, deliver real value for Fortune 500 clients, and

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