Job: Lead AI Forward Deployment Engineer (Google Cloud Platform)
Location: Plano TX
Onsite Only
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.
? Google Cloud Platform Mastery: Expert-level knowledge of Vertex AI and the broader Google Cloud Platform 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.
Thanks & Regards,
Pawan Kumar
(IT Recruiter)
E:
K&K Global Talent Solutions Inc.
7901 4th St N, St Petersburg, Florida 33702, US
US | Canada | Germany | India
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