Generative AI Forward-Deployed Engineer (On-Site)

Tiger Analytics, LLC; New York (NY); On-site; USD 150,000 - 210,000; Full time

Job summary

Tiger Analytics is seeking an experienced Forward Deployed Engineer (Generative AI) to deploy and scale enterprise Gen AI solutions on-site with multi-cloud integrations (AWS, Azure, GCP). The role embeds with customer engineering teams to operationalize LLMs and retrieval systems, bridging AI research and production-grade infrastructure.

You will work with Vertex AI, BigQuery, Spanner, and Dataflow to build data pipelines and agentic architectures, communicating progress and value to

Qualifications

• Proven experience with Vertex AI, Model Garden and Vertex AI Pipelines.
• Proficient in SQL for BigQuery and Python for ML engineering.
• Hands-on experience with Google Cloud Storage and Vertex AI endpoints.
• Familiarity with stateful real-time processing and agentic architectures.

Responsibilities

• Lead on-site deployment, integration, and scaling of enterprise Generative AI solutions.
• Embed within customer engineering teams to operationalize LLMs and retrieval systems across multi-cloud environments.
• Bridge AI research and production-grade cloud infrastructure; communicate results and business value.
• Collaborate with cross-functional teams to drive strategy and execution.

Skills

Vertex AI Mastery

SQL for BigQuery

Python for ML

Collaboration

Communication

Tools

Vertex AI Pipelines

Model Garden

BigQuery

Spanner

Dataflow

RunInference API

Job description

Tiger Analytics is seeking an experienced Forward Deployed Engineer (Generative AI) to deploy and scale enterprise Gen AI solutions on-site with multi-cloud integrations (AWS, Azure, GCP). The role embeds with customer engineering teams to operationalize LLMs and retrieval systems, bridging AI research and production-grade infrastructure.

You will work with Vertex AI, BigQuery, Spanner, and Dataflow to build data pipelines and agentic architectures, communicating progress and value to