✦ Luna Orbit — Data & Analytics

Lead GCP Engineer: AI Platforms & Development

at Concentrix

📍 Remote, US Remote 💰 $122K – $191K USD / year Posted March 07, 2026
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Position Details

Salary $122K – $191K USD / year
Type Full-Time
Experience lead
Exp. Years 5+ years
Education Not specified
Category Data & Analytics

About this role

This role involves leading the development and scaling of AI platforms within Google Cloud, focusing on microservices, APIs, and enterprise AI solutions.

Key Responsibilities

  • Build and maintain production microservices
  • Implement Gemini Prompt & Behavior Engineering
  • Scale agentic systems
  • Develop data pipelines
  • Collaborate on AI platform standards

Technical Overview

The environment includes GCP, Vertex AI, microservices architecture, Kubernetes, and generative AI tools, aimed at building scalable AI systems for enterprise use.

Ideal Candidate

The ideal candidate is a lead GCP engineer with extensive experience in building scalable AI platforms within Google Cloud, including microservices, APIs, and agentic systems. They possess strong technical leadership skills and a deep understanding of cloud infrastructure and AI deployment.

Must-Have Skills

GCPGoogle Cloud PlatformMicroservicesAPIsVertex AICloud Engineering

Nice-to-Have Skills

Generative AIAgentic SystemsKubernetesGemini EnterpriseAgent Studio

Tools & Platforms

Google Cloud PlatformVertex AIGemini EnterpriseAgent StudioKubernetes

Required Skills

GCPGoogle Cloud PlatformVertex AIAPIsMicroservicesKubernetesGemini EnterpriseAgent StudioGenerative AICloud Engineering

Hard Skills

Google Cloud PlatformGCPVertex AIAPIsMicroservicesKubernetesGemini EnterpriseAgent StudioGenerative AICloud Engineering

Soft Skills

Technical LeadershipCollaborationProblem-SolvingCommunicationInnovation

Industry & Role

Industry Technology/Consulting
Job Function Leading AI platform engineering within Google Cloud ecosystem

Keywords for Your Resume

GCPGoogle Cloud PlatformVertex AIAPIsMicroservicesKubernetesGemini EnterpriseAgent StudioGenerative AICloud EngineeringAI PlatformsAgentic SystemsScalable BackendData PipelinesEnterprise AI

Deal Breakers

Lack of GCP experience, No experience with microservices or APIs, Limited cloud engineering background, Less than 5 years in cloud or AI platform development

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