Director, Platform Architect - AI

Flex is the diversified manufacturing partner of choice that helps market-leading brands design, build and deliver innovative products that improve the world.

A career at Flex offers the opportunity to make a difference and invest in your growth in a respectful, inclusive, and collaborative environment. If you are excited about a role but don't meet every bullet point, we encourage you to apply and join us to create the extraordinary.

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.

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

What we're looking to add to our team:

• 8+ 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
EA42
CA47
AA01

SA63

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

Application Deadline:

Applications for this job position will be accepted for at least five days following the job posting start date below and continuing until the end date below or until the position is filled. This posting may close sooner due to application volume.

Job Posting Start Date 08-05-2026 Job Posting End Date 08-09-2026

The base pay range for this position is provided below. The final base rate offered will be determined using job-related, non-discriminatory criteria, including but not limited to experience, qualifications, geographic location, education, external market data, and internal equity.

$173,700.00 USD - $238,900.00 USD Annual

Job Category

IT

Is Sponsorship Available?

No

Flex is an Equal Opportunity Employer and employment selection decisions are based on merit, qualifications, and abilities. We do not discriminate based on: age, race, religion, color, sex, national origin, marital status, sexual orientation, gender identity, veteran status, disability, pregnancy status, or any other status protected by law. We're happy to provide reasonable accommodations to those with a disability for assistance in the application process. Please email accessibility@flex.com and we'll discuss your specific situation and next steps (NOTE: this email does not accept or consider resumes or applications. This is only for disability assistance. To be considered for a position at Flex, you must complete the application process first).