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Flex is the diversified manufacturing partner of choice that helps market-leading brands design, build and deliver innovative products that improve the world.
Job Summary
- To support our extraordinary teams who build great products and contribute to our growth, we’re looking to add a _AI Platforms Leader_located in _Guadalajara, North._
- Reporting to the Sr Director, Information Technology, AI Platforms Leader role will lead the strategy, design, governance, and delivery of a secure, scalable, and extensible AI platform ecosystem. This platform is the foundation for enabling Flex’s AI Factory vision across generative AI, virtual assistants, agentic automation, and advanced analytics._
- You will lead a team of platform architects and collaborate with cross-functional teams across infrastructure, cybersecurity, data engineering, and business-aligned AI delivery pods. Your mission is to build a platform that supports broad business AI adoption—balancing strategic direction, operational scalability, governance, and responsible AI._
- You will serve as the enterprise-wide technical lead for AI platform architecture, ensuring seamless interoperability across enterprise systems (e.g., ERP, Salesforce, MES, PLM) and supporting both strategic top-down initiatives and bottom-up innovation enabled through user-friendly AI development platforms, as well as the delivery of AI products for end users—including virtual assistants and other intelligent solutions._
What a typical day looks like:
- _ Define and evolve the AI platform strategy in alignment with the tiered platform model: Tier 1 (Self-Service AI Foundation), Tier 2 (Domain-Specific Platforms), Tier 3 (Strategic AI Solutions)._
- _ Establish modular reference architectures and composable services for GenAI, RAG, multi-agent orchestration,



and AI-powered business process automation._
- _ Align with business unit priorities and strategic use cases through coordination with the AI Council and AI PMO._
- _ Lead the AI platform team to deliver secure, scalable, and interoperable infrastructure across Flex’s multi-cloud environment (Azure, AWS, GCP)._
- _ Enforce AI governance including usage policies, prompt versioning, explainability, access controls, and audit logging, with a focus on regulated environments._
- _ Guide integration of unstructured data pipelines and domain-specific knowledge frameworks to support contextual AI reasoning._
- _ Build and maintain integration services to connect internal business data (example: ERP, Snowflake, Salesforce) and other key enterprise systems for structured and unstructured data access._
- _ Deliver shared components and toolkits for rapid AI solution development, supporting a GenAI & Virtual Assistants Factory model._
- _ Establish and scale MLOps/LLMOps practices across clouds, ensuring observability, CI/CD pipelines, model registry, and lifecycle automation._
- _ Build cost and usage guardrails aligned with financial stewardship goals; report platform KPIs, uptime, adoption, and business impact metrics._
- _ Implement frameworks to help track value delivery across AI platform components in collaboration with the AI PMO and benefit management functions._
- _ Coordinate across platform engineering, data science, cybersecurity,



and vendor ecosystem teams to ensure cohesive execution._
- _ Represent AI platform capabilities in enterprise architecture forums and support internal product owners in adopting platform services._
- _ Enable upskilling and knowledge sharing through collaboration with the AI Literacy & Adoption function, fostering business-led innovation at scale._
The experience we’re looking to add to our team:
- _ BA/BS or master’s in computer science, Engineering, AI, or a related field_
- _ 10+ years of experience in enterprise platform architecture, cloud engineering, or AI/ML infrastructure roles._
- _ Strong track record designing distributed platforms supporting scalable, composable AI services across multiple cloud environments._
- _ Proficiency with containerized environments (Kubernetes), CI/CD toolchains (Terraform, GitLab, Azure DevOps), and cloud-native services._
- _ Hands-on knowledge of GenAI tools including vector databases (e.g., Pinecone, PGVector), orchestration tools (LangChain), and prompt management frameworks._
- _ Experience enabling responsible AI deployment in large organizations, including regulated sectors._
- _ Excellent interpersonal and communication skills; able to translate architectural vision into business-aligned solutions._
- _ Preferred Experience:_
- _ Experience in manufacturing, supply chain, logistics, or regulated sectors with hybrid IT-OT environments._
- _ Familiarity with enterprise platforms such as SAP, Salesforce, Snowflake, and Flex-specific data systems (e.g., Arch)._
- _ Background in supporting cross-system integration and orchestrating intelligent workflows across departments._
- _ Experience growing or leading teams as part of a delivery and enablemen

Postúlate en Kit Empleo: kitempleo.com.mx/empleo/5677bd

📌 Ai Platforms Leader (Guadalajara)
🏢 Flex
📍 Guadalajara