Tiger Analytics

Forward Deployed Engineer (Generative AI)

Chicago, IL, USPosted 2 months ago

Job Description

Tiger Analytics is looking for experienced Forward Deployed 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 Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

Role Overview

The Forward Deployed 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

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