Lead AI Forward Deployment Engineer (GCP)

Talent Movers

Job Location:

Plano, TX - USA

Monthly Salary: Not Disclosed

Posted on: 3 hours ago

Vacancies: 1 Vacancy

Job Summary

Lead AI Forward Deployment Engineer (GCP)

Plano TX (Local only)

Onsite Only NO REMOTE OPTION

Job Description:

As a Special Ops Engineer you will bridge the gap between our AI R&D and enterprise production. You will deploy secure and scale AI solutions within complex client environments using the Google Cloud ecosystem.

Key Responsibilities

Production AI: Architect end-to-end pipelines on Vertex AI (Model Garden Pipelines and Feature Store).

Security Hardening: Implement Model Armor for LLM safety (prompt injection/PII filtering) and Cloud Armor for edge-layer WAF protection.

Orchestration: Design and manage high-scale Google Kubernetes Engine (GKE) clusters optimizing for GPU/TPU workloads.

Integration: Write production-grade Python microservices and APIs to embed AI into existing enterprise workflows.

Client Leadership: Lead technical deployments on-site or in-client VPCs navigating complex networking and legacy constraints.

Technical Requirements

10 Years Engineering: Deep background in Distributed Systems Data Engineering or DevOps.

GCP Mastery: Expert-level knowledge of Vertex AI and the broader GCP ecosystem.

K8s Expert: Proven experience with GKE Helm and Service Mesh (Istio).

Python Veteran: Master of asynchronous programming and scalable backend design.

Security Expert: Hands-on experience securing endpoints and managing AI-specific vulnerabilities.

Lead AI Forward Deployment Engineer (GCP) Plano TX (Local only) Onsite Only NO REMOTE OPTION Job Description: As a Special Ops Engineer you will bridge the gap between our AI R&D and enterprise production. You will deploy secure and scale AI solutions within complex client environments using t...