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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.
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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.
- Drive platform capabilities that support both technical developers and business technologists-ranging from full custom code applications to user-friendly product deployments
- 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.
- 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 enablement CoE aligned with business units.
- Competitive Salary.
- Life & Medical insurance.
- Christmas Bonus.
- Food Coupons.
- Saving Fund.
Job Category
IT
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).