Flex

Platform Architect - AI

Flex$120K — $160K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years in platform engineering, cloud architecture, or similar roles
  • Strong background in designing and deploying on Google Cloud Platform
  • Experience with cloud-native platforms including APIs and data pipelines
  • Hands-on knowledge of infrastructure-as-code tools like Terraform
  • Experience with production-grade data and analytics platforms
  • Proficient in programming languages such as Python, Java, or Go

Responsibilities

  • Architect enterprise AI platforms supporting LLMs and advanced analytics
  • Design scalable deployment patterns for AI solutions across cloud environments
  • Enable self-service AI capabilities through platform services and deployment frameworks
  • Lead implementation of AI/data platforms on Google Cloud
  • Define multi-cloud design patterns to ensure portability across clouds
  • Implement secure architectures and compliance measures across cloud providers
  • Collaborate with cross-functional teams to translate use cases into platform capabilities

Benefits

  • Full range of medical, dental, and vision plans
  • Life Insurance
  • Short-term and long-term Disability
  • Matching 401(k) Contributions
  • Vacation and Paid Sick Time
  • Tuition Reimbursement
Full Job Description
Job Posting Start Date 05-20-2026 Job Posting End Date 07-20-2026

Job Summary

Flex is seeking a Platform Architect to design and scale enterprise-grade platforms for deploying AI and data-driven applications across our global manufacturing and supply chain ecosystem. This role will focus on building secure, scalable, and developer-friendly platforms that accelerate the adoption of AI solutions-leveraging Google Cloud as a primary environment while enabling interoperability across Azure and AWS-and aligning with enterprise governance, compliance, and operational excellence standards.

You will operate at the intersection of AI platform engineering, cloud architecture, and developer experience, enabling teams across engineering, data science, and business functions to rapidly build and deploy production-grade AI solutions.

This role is based from our Austin, TX Corporate headquarters.

What a typical day looks like:

AI Platform Architecture & Deployment
  • 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


Cloud Architecture & Multi-Cloud Strategy
  • Lead architecture and implementation of AI and data platforms primarily on Google Cloud (Vertex AI, BigQuery, Cloud Run, Composer, etc.)
  • Define and implement multi-cloud design patterns spanning Google Cloud, Azure, and AWS, ensuring portability and flexibility
  • Establish consistent infrastructure, networking, and governance models across cloud providers


Developer Platform & Experience
  • Build and evolve internal developer platforms that simplify deployment of AI and data applications
  • Develop CI/CD frameworks that support consistent deployment across multi-cloud environments
  • Improve observability, reliability, and developer productivity through platform tooling and automation


Data & AI Integration
  • Design architectures integrating AI systems with enterprise data sources (ERP, supply chain, manufacturing systems) across cloud environments
  • Enable real-time and batch data pipelines using cloud-native and cross-cloud data services
  • Support scalable, governed data platforms leveraging modern architectures (lakehouse, medallion, etc.)


Security, Governance & Compliance
  • Implement secure-by-design architectures across Google Cloud, Azure, and AWS, including IAM, network controls, and data protection
  • Establish guardrails for AI deployment, including access control, monitoring, and auditability
  • Ensure compliance with global regulatory standards (GDPR, FDA, and other industry requirements)


Cross-Functional Collaboration
  • Partner with Data Science, R&D, IT, and business stakeholders to translate use cases into scalable platform capabilities
  • Support lighthouse AI initiatives and drive broader enterprise adoption
  • Mentor engineers and promote best practices in platform engineering and cloud architecture


Here's what we're looking to add to our team:
  • 5+ 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


Preferred
  • Experience working in multi-cloud environments (GCP, Azure, AWS)
  • Experience with AI/ML platforms (Vertex AI, SageMaker, Azure ML, or similar)
  • Familiarity with modern data architectures (BigQuery, Snowflake, lakehouse, etc.)
  • Experience building internal developer platforms or self-service tooling
  • Exposure to enterprise security frameworks (IAM, zero trust, network segmentation)
  • Experience in manufacturing, supply chain, or industrial environments


SS26

CA47
CH12
AA01
EA42
CC11
MS14

What you'll receive for the great work you provide:
  • Full range of medical, dental, and vision plans
  • Life Insurance
  • Short-term and Long-term Disability
  • Matching 401(k) Contributions
  • Vacation and Paid Sick Time
  • Tuition Reimbursement

Job Category
IT

Is Sponsorship Available?
No

About Flex

Flex Ltd. is an American Singaporean-domiciled multinational electronics contract manufacturer. It is the third largest global electronics manufacturing services (EMS), original design manufacturer (ODM) company by revenue, behind only Pegatron for what concerns original equipment manufacturers. Flex has manufacturing operations in over 30 countries, totaling approximately 200,000 employees.
Learn more about Flex
Size
172,648 employees
Market Cap
$9.7 billion
Industry
Net Income
$421 million
Founded
2016
5 Year Trend
+1.8%
Revenue
$23.3 billion
NASDAQ

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