Senior Director, Platform Architect, AI

Flex (Flextronics)

Confirmed live yesterday High trust
Closes in 3 days Remote

Quick summary

Work type
Remote
Location
Colorado
Salary
$197,900–$272,100 / yr
Posted
17 days ago
Freshness
Confirmed live yesterday
Closes
Sep 14, 2026 (soon)

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $202k
This role $235k
$136k most similar roles pay here $287k

This role pays more than 62% of similar roles. Most pay $151,000–$252,875 — the shaded band above. At the midpoint, this role pays about $235k versus about $202k for comparable roles.

Based on 239 similar postings.

Employer

About Flex (Flextronics)

Flex (formerly Flextronics) is a global technology, supply chain, and manufacturing solutions provider helping companies design, build, and deliver products across industries. Industry: Electronics Manufacturing Services

Flex (Flextronics) currently has 29 open roles on FindRole.

Listed pay typically runs $118,300–$162,600 across 15 roles with salary data.

Most-posted roles

View all roles at Flex (Flextronics)

At a glance

TL;DR · Senior Director, Platform Architect, AI

Senior Director, Platform Architect - AI will join the team to design and scale enterprise-grade platforms for deploying AI and data-driven applications across a global manufacturing and supply chain ecosystem. The role involves building secure, scalable, and developer-friendly platforms that support LLMs, AI agents, and advanced analytics workloads while ensuring interoperability across multi-cloud environments. Key responsibilities include developing CI/CD frameworks, creating infrastructure-as-code using Terraform, and designing data pipelines integrating with ERP and manufacturing systems. The candidate will utilize Google Cloud tools like Vertex AI, BigQuery, and Cloud Run, alongside Azure and AWS services. Technical requirements include proficiency in Python, Java, or Go, along with experience in microservices, network controls, and security frameworks like IAM. This role solves the challenge of accelerating production-grade AI adoption while maintaining strict governance and compliance standards.

What you'll do

  • Design and evolve enterprise AI platforms supporting LLMs, AI agents, and advanced analytics workloads.
  • Create scalable deployment patterns for AI solutions across Google Cloud, Azure, and AWS environments.
  • Build internal developer platforms and CI/CD frameworks to simplify the deployment of data applications.
  • Develop multi-cloud infrastructure, networking, and governance models to ensure platform portability.
  • Integrate AI systems with enterprise data sources like ERP and manufacturing systems via cloud-native pipelines.
  • Implement secure-by-design architectures including IAM, network controls, and data protection across all cloud providers.
  • Establish guardrails for AI deployment to ensure compliance with global regulatory standards like GDPR and FDA.
  • Translate business use cases into scalable platform capabilities by partnering with cross-functional stakeholders.

What we're looking for

  • 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 including APIs, microservices, and 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 programming languages.
  • Experience working in multi-cloud environments (GCP, Azure, AWS) (preferred).
  • Experience with AI/ML platforms, modern data architectures, or internal developer platforms (preferred).

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