Flex AI Platforms Leader 

Mexico, Jalisco, Guadalajara 

873998968

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 businesstechnologists—rangingfrom 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 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 enablement CoE aligned with business units.

What you’ll receive for the great work you provide:

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