Google Cloud Platform AI Engineer

Overview

Remote
$80000-100000
Full Time

Skills

gcp
AI
Vertex AI
Conversational AI
dialog Flow
MLOps
Cloud Logging/Monitoring

Job Details

Google Cloud Platform AI Engineer Full Time Remote (Occasional Travel)

We are seeking an experienced Google Cloud Platform AI/ML & Integration Engineer to design, build, and optimize enterprise-scale AI/ML solutions. The ideal candidate will have expertise in AI/ML architecture, integration services, model lifecycle management, and cloud-native deployments with a focus on Google Cloud Platform (Google Cloud Platform) technologies. This role requires both technical leadership and the ability to collaborate with cross-functional teams to deliver secure, scalable, and high-performing AI solutions.

Key Responsibilities

Architect and implement end-to-end conversational AI and generative AI solutions leveraging Dialogflow CX, Vertex AI, and Vertex AI Agent Builder.

Integrate AI services with Firebase, Firestore, Pub/Sub, Dataflow, and Cloud Run for real-time, data-driven applications.

Establish MLOps best practices including CI/CD, model versioning, observability, governance, and security.

Ensure compliance and responsible AI principles are embedded throughout the AI/ML lifecycle.

Provide technical leadership and thought leadership on Google Cloud Platform AI/ML architecture and integration.

Key Skills

5+ years in enterprise architecture, with 1+ years in Google Cloud Platform AI/ML and integration

Proficiency in Python (JavaScript a plus) for development and API integration.

Hands-on expertise with Vertex AI, Dialogflow CX, Vertex AI Search and Conversation, RAG, Vector databases, and Vertex AI Model Garden.

Strong knowledge of model development, tuning, deployment, evaluation, and governance frameworks on Google Cloud Platform.

Experience and programming skills with data platforms and distributed data processing tools.

Strong understanding of security, compliance, and responsible AI principles in Google Cloud.

Familiarity with Kubernetes/GKE, CI/CD for AI/ML, and MLOps best practices using Vertex AI Pipelines, Cloud Build, and Artifact Registry, Cloud Logging, Cloud Monitoring, and Vertex AI Model Monitoring for observability and drift detection.

Excellent communication and customer interfacing skills.

Google Cloud Platform Professional Machine Learning Engineer certification preferred (will also consider Professional Cloud Architect willing to go for ML Engineer certification)

Job Type: Full Time
Work Type: US-based Remote with Occasional Travel
Time Zone: EST


We are an AI-first leader in full-stack product and platform engineering services. We leverage advanced technologies such as Data and Cloud Engineering integrated with AI to help our clients scale, innovate, transform their businesses in the digital age and realize business value with better customer experience.

Right Skale Inc, headquartered in Pleasanton, CA, is an emerging global product development and platform engineering company.
With a focus on digital transformation and cloud computing, we provide end-to-end technology solutions and services from strategy, architecture, and consulting to software development.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.