Lead AI Forward Deployment Engineer (GCP)
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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.
