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Nestle

Expert Architect – Enterprise Data AI Platforms

Nestle

. Serve as technology architecture leader for Enterprise Data, AI/ML, Generative AI, and Agentic AI .

Posted 10/23/2026full-timeSt. Louis • Missouri • United StatesSeniorLead💰 $138,078 - $185,081 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in designing and implementing enterprise-scale data architectures, with a strong focus on AI/ML, Generative AI, and cloud-native application architecture. Proficient in guiding technical decisions and architecture reviews while ensuring alignment with enterprise standards and security practices.

Highest-signal resume keywords
Enterprise Data Architecture DesignAI/ML Solutions DevelopmentKubernetes and Cloud-Native ArchitecturePython Proficiency for AutomationTechnical Leadership and Mentorship

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data EngineeringAnalyticsGenerative AIAPI Design and IntegrationPlatform ModernizationCI/CD PracticesInfrastructure as CodeAutomated TestingSecure Software DeliveryCloud/Data Platforms
Soft Skills
Influencing Technical DecisionsCollaboration Across TeamsArchitectural Guidance
Tools & Technologies
KubernetesDatabricksSnowflakeDevOps PracticesAgent Orchestration Tools
Industry Keywords
Enterprise ArchitectureTechnology TransformationData GovernanceObservabilitySecurity and Privacy

Tech Stack

Tools & technologies
CloudKubernetesPython

About the role

Key responsibilities & impact
  • Serve as technology architecture leader for Enterprise Data, AI/ML, Generative AI, and Agentic AI
  • Translate enterprise and global technology strategy into practical architecture aligned with Nestlé Purina business needs
  • Provide guidance, standards, reference architectures, patterns, and technical leadership for approved enterprise platforms and technologies
  • Design and guide AI/ML, Generative AI, and Agentic AI solutions, including model and tool integration, agent orchestration, retrieval, evaluation, observability, governance, security, and cost management
  • Guide architecture across data and AI platforms, including ingestion, engineering, integration, storage, analytics, metadata, governance, and security
  • Apply platform engineering and DevOps practices to enable reliable, repeatable deployments
  • Design and validate secure, scalable APIs and integration services
  • Embed security, privacy, networking, observability, resilience, performance, and production-readiness into architecture and solution design
  • Develop proofs of concept, reference implementations, and reusable technical patterns using Python
  • Establish scalable architecture patterns, standards, and design principles
  • Partner with Enterprise Architecture, Global Nestlé Architecture, Platform Engineering, Data Engineering, Product Management, AI/ML teams, and other stakeholders
  • Contribute to current-state assessments, target-state architecture, and technology roadmaps
  • Identify architecture gaps, risks, dependencies, and modernization opportunities
  • Lead architecture reviews, guide technology decisions, assess trade-offs, and ensure alignment with enterprise standards
  • Influence delivery teams in adopting approved platforms, technologies, standards, and architecture patterns
  • Provide technical direction, architectural guidance, and mentorship to architects, engineers, technical leads, and stakeholders

Requirements

What you’ll need
  • Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field
  • 7+ years of professional experience
  • 5+ years designing and implementing enterprise-scale data architectures
  • Expertise across modern cloud/data platforms, data engineering, analytics, AI/ML, Generative AI, and/or emerging AI technologies
  • 3+ years leading architecture for large-scale platform modernization or technology transformation initiatives
  • Experience influencing technical decisions across multiple teams in complex, matrixed organizations
  • Expertise in Kubernetes, containers, and cloud-native application architecture
  • Experience with Databricks and Snowflake or comparable enterprise data and AI platforms
  • Knowledge of CI/CD, infrastructure as code, automated testing, release management, and secure software delivery
  • Experience designing secure, scalable APIs and integration services
  • Python proficiency for prototyping, automation, integrations, and technical validation
  • Advanced degree preferred, not required
  • Position is not eligible for Visa Sponsorship

Benefits

Comp & perks
  • Performance-based incentives
  • 401k with company match
  • Healthcare coverage
  • Broad range of other benefits
  • Inclusive workplace
  • Recruitment accommodations for individuals with disabilities