AI Platform Architect: Enterprise Cloud & Data

Flex; United States; On-site; USD 150,000 - 210,000; Full time

Job summary

Flex is seeking a Platform Architect to design and scale enterprise-grade AI and data platforms across a global manufacturing and supply chain ecosystem. The role emphasizes secure, scalable platforms, developer-friendly tooling, and governance aligned with enterprise standards.

You will lead architecture for AI deployments on Google Cloud with cross-cloud interoperability, mentor engineers, and collaborate with data science, R&D, IT, and business units to accelerate adoption of AI solutions.

Qualifications

• 8+ years of experience in platform engineering, cloud architecture, or related roles.
• Strong experience designing and deploying solutions on Google Cloud Platform (GCP).
• Experience building and scaling cloud-native platforms (APIs, microservices, data pipelines).
• Hands-on experience with infrastructure-as-code (Terraform or similar) and CI/CD practices.
• Experience supporting production-grade data and analytics platforms.
• Proficiency in Python, Java, Go, or similar languages.

Responsibilities

• Architect and evolve enterprise AI platforms supporting LLMs, AI agents, and advanced analytics workloads.
• Design scalable deployment patterns for AI solutions (APIs, agents, pipelines) across cloud environments
• Enable self-service AI capabilities through reusable platform services and standardized deployment frameworks
• Lead architecture and implementation of AI and data platforms primarily on Google Cloud; define multi-cloud patterns across GCP, Azure, AWS
• Establish governance, security, and observability standards across cloud providers.

Skills

Platform engineering

Cloud architecture

Google Cloud

Multi-cloud

Terraform

CI/CD practices

Tools

Terraform

Vertex AI

BigQuery

Job description

Flex is seeking a Platform Architect to design and scale enterprise-grade AI and data platforms across a global manufacturing and supply chain ecosystem. The role emphasizes secure, scalable platforms, developer-friendly tooling, and governance aligned with enterprise standards.

You will lead architecture for AI deployments on Google Cloud with cross-cloud interoperability, mentor engineers, and collaborate with data science, R&D, IT, and business units to accelerate adoption of AI solutions.