Director, Platform Architect - AI

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, Join a boutique investment banking team to build and own complex financial models, prepare client-ready presentations, drive M&A and capital-raising processes, manage diligence and coordination with advisors, and interact directly with senior clients. Requires strong analytical, quantitative, and client communication skills and elite execution on lean deal teams. Top Skills: Claude PluginExcelGaapIndex/MatchMacrosPivot TablesPower QueryPowerPointVlookupWordXlookup Fortune Brands Innovations

• 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

Lead design and scaling of enterprise AI platforms (LLMs, agents, analytics) on Google Cloud with multi-cloud portability. Build developer self-service platforms, CI/CD and IaC, integrate AI with ERP and supply chain data, ensure secure governance and compliance, and mentor engineering and data science teams to accelerate production AI adoption. The summary above was generated by 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., 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
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