AI Platforms Leader

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 dont meet every bullet point we encourage you to apply and join us to create the extraordinary.

Job Summary

To support our extraordinary teams who build great products and contribute to our growth were looking to add a AI Platforms Leaderlocated 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 Flexs 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 adoptionbalancing 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 usersincluding 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 Flexs 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 technologistsranging 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.

The experience were looking to add to our team:

• BA/BS or masters 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.

What youll receive for the great work you provide:

• Competitive Salary.
• Life & Medical insurance.
• Christmas Bonus.
• Food Coupons.
• Saving Fund.

MG61

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. Were happy to provide reasonable accommodations to those with a disability for assistance in the application process. Please email and well 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).