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.