Expert Architect

4 days ago

Missouri City, Missouri, United States Nestle Full-time
Overview

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As the technology leader for Enterprise Data and AI, you will define and govern architecture across data, AI/ML, GenAI, and Agentic AI platforms. You’ll translate enterprise strategy into practical designs, guiding adoption of core platforms while partnering with Architecture, Platform Engineering, Data Engineering, and AI teams. You’ll influence large-scale modernization, ensure secure, scalable, and cost-aware solutions, and mentor engineers to raise architectural delivery. This role shapes Purina’s data and AI capabilities at scale.



Compensation / Benefits
  • 401k with company match
  • healthcare coverage
  • performance-based incentives
  • broad range of other benefits

Responsibilities
  • Lead architecture for Enterprise Data, AI/ML, GenAI, and Agentic AI initiatives
  • Design and guide AI/ML solutions with model integration, governance, and cost management
  • Guide data platform architecture (Databricks, Snowflake) including ingestion, storage, governance, and security
  • Promote DevOps, CI/CD, IaC, automated testing, and secure software delivery
  • Design secure, scalable APIs and integration services with lifecycle governance
  • Embed security-by-design, privacy, observability, and production-readiness into solutions
  • Develop reusable architecture patterns and standards for Data and AI platforms
  • Mentor architects and engineers and lead architecture reviews

Key requirements
  • 7+ years designing and implementing enterprise-scale data architectures across cloud/data platforms
  • 5+ years in designing enterprise-scale data architectures xhuatnn
  • 3+ years leading architecture for large-scale platform modernization or technology transformation (GenAI, Agentic AI)
  • Experience with modern cloud/data platforms, data engineering, analytics, AI/ML
  • Strong ability to influence across matrixed teams
  • Bachelor’s degree in Computer Science, IT, Engineering, or related field
  • strong stakeholder engagement
  • leadership and mentorship
  • excellent communication
  • Kubernetes
  • containers
  • cloud-native application architecture