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Forward Deployed Engineer (Generative AI)

Tiger Analytics Inc. · Austin, Texas, United States; Dallas, Texas, United States; Chicago, Illinois, United States; New York, New York, United States

The role

This role involves driving the on-site deployment, integration, and scaling of enterprise Generative AI solutions. The engineer embeds within customer engineering teams to operationalize Large Language Models and retrieval systems across multi-cloud environments. The position bridges AI research and production-grade cloud infrastructure.

Location
Austin, Texas, United States; Dallas, Texas, United States; Chicago, Illinois, United States; New York, New York, United States
Work mode
Onsite
Level
Mid

What we know that the posting doesn’t say

  • Seen todaystill listed on the employer’s careers page
  • Posted 24 days agothe first time we saw it
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About Tiger Analytics Inc.

Tiger Analytics is an advanced analytics consulting firm that partners with Fortune 500 companies to generate business value from data, with expertise in machine learning, data science, and AI.

What you would do

  • Develop intelligent agents using Vertex AI Agent Builder to automate workflows.
  • Build and manage multi-agent systems using the Agent Developer Kit.
  • Connect agents to enterprise databases like BigQuery and Spanner using MCP Toolbox.
  • Utilize Vertex AI for model training, tuning, and deployment with BigQuery integration.
  • Build and optimize streaming data pipelines for real-time inference using Dataflow.
  • Ground AI models in live business context using vector engines in BigQuery or AlloyDB.

Must have

  • Proven experience with Vertex AI Model Garden, Pipelines, and model evaluation.
  • Advanced knowledge of SQL for BigQuery.
  • Advanced knowledge of Python for ML engineering.
  • Experience with data preprocessing techniques like scaling, encoding, and imputation.
  • Hands-on experience with Google Cloud Storage and Vertex AI endpoints.
  • Familiarity with stateful real-time processing and agentic architectures.
  • Experience developing agents using Vertex AI Agent Builder.
  • Experience with the Agent Developer Kit for multi-agent systems.
  • Experience implementing MCP Toolbox to connect agents to databases.
  • Experience building streaming data pipelines with Dataflow for real-time inference.
  • Experience grounding AI models using vector engines in BigQuery or AlloyDB.

What you get

  • Opportunity for significant career development in a fast-growing environment.
  • High degree of individual responsibility.
  • Equal employment opportunities without regard to protected characteristics.

Key skills

  • vertex ai
  • agent builder
  • agent developer kit
  • mcp toolbox
  • bigquery
  • spanner
  • dataflow
  • runinference api
  • alloydb
  • sql
  • python
  • google cloud storage
  • model garden
  • vertex ai pipelines
  • model evaluation
  • data preprocessing
  • streaming data pipelines
  • vector engines
  • agentic architectures
  • aws
  • azure
  • gcp

Tiger Analytics is looking for experienced Forward Deployment Engineer (Generative AI) with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple…

Extracted from the employer’s posting. Read it in full on Tiger Analytics Inc.’s careers page

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