AI Architect - Google Cloud Platform
Job Title: AI Architect Location: Remote Job Overview We are seeking a hands-on AI Architect with strong experience in AI application architecture, data engineering, backend/runtime development, APIs, and cloud infrastructure. The ideal candidate must have hands-on experience working on the data side and be ready to write production-quality code. Primary Responsibilities Design and develop scalable AI application architectures and backend/runtime services. Build and integrate APIs supporting AI applications, data services, and enterprise integrations. Work with session management, identity context, authentication, authorization, and secure service-to-service communication. Develop reliable solutions for delivering data and AI responses. Work hands-on with data pipelines, data processing, data integration, and backend data services. Write, review, debug, and maintain production-quality code. Design and implement cloud-native solutions using Google Cloud Platform and Kubernetes. Work with networking, DNS, load balancing, and private connectivity. Implement infrastructure automation using Terraform. Work with service accounts, secrets, and workload identity. Collaborate with engineering, data, AI/ML, and infrastructure teams. Required Skills AI Architecture Generative AI / AI Application Architecture Backend Development Data Engineering / Data Architecture API Design and Development REST APIs Session Management Identity and Authentication Enterprise Integrations Google Cloud Platform (Google Cloud Platform) Google Kubernetes Engine (GKE) Docker Kubernetes Terraform Service Accounts Secrets Management Workload Identity Candidate Requirements Strong hands-on experience as an AI Architect, Software Architect, Cloud Architect, or similar role. Must have hands-on data-side experience. Must be capable of writing and reviewing production code, not architecture-only experience. Strong backend, API, cloud infrastructure, and distributed-systems experience. Experience taking AI/data solutions from architecture through implementation and production deployment. Preferred Job Titles AI Architect, Generative AI Architect, AI/ML Architect, Software Architect, Cloud Architect, Data Architect, AI Solutions Architect, Principal Software Engineer, Principal Engineer, Lead AI Engineer, Lead Software Engineer.