Senior AI Platform Architect — Multi-Cloud & DevEx Leader

Flex; United States; On-site; USD 160,000 - 210,000; Full time

Job summary

Flex is seeking a Platform Architect to design and scale enterprise-grade AI and data platforms across our global manufacturing and supply chain ecosystem. This role focuses on secure, scalable platforms on Google Cloud while enabling interoperability with Azure and AWS, aligned with governance and operational excellence standards.

You will drive platform engineering, create self-service developer experiences, and build CI/CD pipelines to support production-grade AI solutions across

Qualifications

• 10+ years of experience in platform engineering, cloud architecture, or related roles.
• Strong experience designing and deploying solutions on Google Cloud Platform.
• 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.

Responsibilities

• Architect and evolve enterprise AI platforms supporting LLMs, AI agents, and advanced analytics workloads.
• Lead architecture and implementation of AI and data platforms primarily on Google Cloud.
• Define multi-cloud design patterns spanning Google Cloud, Azure, and AWS; ensure portability.
• Build and evolve internal developer platforms and CI/CD frameworks for multi-cloud deployments.
• Improve observability, reliability, and developer productivity through platform tooling.
• Collaborate with Data Science, IT, and business stakeholders to translate use cases into scalable capabilities.

Skills

Platform engineering

Cloud architecture

Google Cloud

Multi-cloud

Terraform

CI/CD

Python

Java

Go

Data pipelines

Observability

Tools

Vertex AI

SageMaker

BigQuery

Snowflake

Cloud Run

Kubernetes

Terraform

Job description

Flex is seeking a Platform Architect to design and scale enterprise-grade AI and data platforms across our global manufacturing and supply chain ecosystem. This role focuses on secure, scalable platforms on Google Cloud while enabling interoperability with Azure and AWS, aligned with governance and operational excellence standards.

You will drive platform engineering, create self-service developer experiences, and build CI/CD pipelines to support production-grade AI solutions across