Generative AI Forward-Deployed Engineer (GCP/LLM Ops)

Tiger Analytics; Mountain View (CA); On-site; USD 140,000 - 200,000; Full time

Job summary

Tiger Analytics is seeking an experienced Forward Deployed Engineer (Generative AI) to embed with customer teams and operationalize large-scale Gen AI solutions on Google Cloud Platform. You will drive on-site deployment, integration, and optimization of Vertex AI primitives and vector search across client environments.

The role requires deep knowledge of LLM orchestration, MLOps tooling, Kubernetes for GPU/TPU workloads, and Terraform for secure GCP provisioning.

Qualifications

• Experience deploying Generative AI at scale in enterprise environments.
• On-site deployment and integration with customer teams.
• Willingness to travel to client sites as required.

Responsibilities

• Deploy and optimize Gen AI models within customer environments.
• Architect scalable AI infrastructure for GPU/TPU workloads.
• Design high-throughput data and retrieval pipelines for RAG.
• Advise on AI safety, prompting patterns, and cost optimization.
• Collaborate with product teams to feed deployment insights back to R&D.

Skills

GCP Vertex AI

LLM orchestration

Kubernetes

Python

Tools

Vertex AI Studio

Model Registry

Vertex AI Pipelines

Kubeflow

Milvus

Pinecone

pgvector

vLLM

Triton Inference Server

GKE

Terraform

Google Cloud SDK

Job description

Tiger Analytics is seeking an experienced Forward Deployed Engineer (Generative AI) to embed with customer teams and operationalize large-scale Gen AI solutions on Google Cloud Platform. You will drive on-site deployment, integration, and optimization of Vertex AI primitives and vector search across client environments.

The role requires deep knowledge of LLM orchestration, MLOps tooling, Kubernetes for GPU/TPU workloads, and Terraform for secure GCP provisioning.