Expert Architect - Enterprise Data AI Platforms

Driven by integrity and united by the people-and-pet bond, we find strong purpose in the work we do and an even greater joy in those we get to work alongside. Together, we harness the expertise of our long-standing tradition of excellence to embrace possibility and continuously push to do what's never been done before in pet care. Discover your purpose and fuel your passions when you bring your love of pets to a team that prides itself on the power of togetherness—We are Proudly Connected.

Purely Driven.

As an Expert Architect – Enterprise Data & AI Platforms, you’ll serve as the technology leader responsible for Enterprise Data and AI architecture, providing guidance, standards, reference architectures, patterns, and technical leadership that enable successful adoption of approved enterprise platforms and technologies.

This role translates enterprise and global technology strategy into practical architecture aligned with the Nestlé Purina business needs. It partners closely with Enterprise Architecture, Global Nestlé Architecture, Platform Engineering, Data Engineering, Product Management, AI/ML teams, and other technology stakeholders to advise on architecture and technology decisions, govern architectural choices, identify opportunities and risks, and drive adoption of approved capabilities.

This role requires deep expertise in modern Data and AI architecture, strong technical judgment, enterprise-level influence, and the ability to bridge strategic technology direction with practical engineering execution.

Serve as the technology architecture leader for Enterprise Data, AI/ML, Generative AI, and Agentic AI, translating enterprise technology strategy into practical architecture aligned with business needs.

Apply strong expertise in Kubernetes, containers, and cloud-native application architecture, including deployment, networking, security, observability, scalability, and operational patterns.

Design and guide the implementation of AI/ML, Generative AI, and Agentic AI solutions, including model and tool integration, agent orchestration, retrieval patterns, evaluation, observability, governance, security, and cost management.

Guide architecture across enterprise data and AI platforms, such as Databricks and Snowflake, encompassing data ingestion, engineering, integration, storage, analytics, AI capabilities, metadata, governance, and security.

Apply sound platform engineering and Dev Ops practices across CI/CD, infrastructure as code, automated testing, release management, and secure software delivery to enable reliable, repeatable deployments.

Design and validate secure, scalable APIs and integration services, including API management, authentication, authorization, versioning, interoperability, and lifecycle governance.

Embed security-by-design, privacy, networking, observability, resilience, performance, and production-readiness practices into architecture and solution design.

Use Python for prototyping, automation, integrations, and technical validation, and develop proofs of concept, reference implementations, and reusable technical patterns in partnership with engineering teams.

Establish and promote scalable, reusable architecture patterns, standards, and design principles that enable consistent delivery across Data and AI platforms and products.

Partner with Enterprise and Global Architecture teams to align Purina solutions with enterprise technology direction while addressing business-specific requirements and constraints.

Contribute to current-state assessments, target-state architecture, and technology roadmaps for Data, AI/ML, Generative AI, and Agentic AI. Identify architecture gaps, risks, dependencies, and modernization opportunities, and recommend actionable…