GCP AI Engineer
GCP AI Engineer - Full Time - Remote (Occasional Travel)
We are seeking an experienced GCP 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 (GCP) 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 GCP AI/ML architecture and integration.
Key Skills
• 5+ years in enterprise architecture, with 1+ years in GCP 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 GCP.
• 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.
• GCP 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
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Apply To this Job
We are seeking an experienced GCP 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 (GCP) 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 GCP AI/ML architecture and integration.
Key Skills
• 5+ years in enterprise architecture, with 1+ years in GCP 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 GCP.
• 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.
• GCP 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
Apply tot his job
Apply To this Job