Expert Architect - Enterprise Data AI Platforms

Nestle Operational Services Worldwide SA•St. Louis, MO

4d•$138,078 - $185,081

About The Position

As an Expert Architect – Enterprise Data & AI Platforms, you will serve as the technology leader for Enterprise Data and AI architecture. You will provide guidance, standards, reference architectures, patterns, and technical leadership to enable adoption of approved enterprise platforms and technologies. The role translates enterprise and global technology strategy into practical architecture aligned with Nestlé Purina’s business needs, working closely with Enterprise Architecture, Global Nestlé Architecture, Platform Engineering, Data Engineering, Product Management, AI/ML teams, and other technology stakeholders. You will advise on architecture and technology decisions, govern architectural choices, identify opportunities and risks, and drive adoption of approved capabilities. The position requires deep expertise in modern Data and AI architecture, strong technical judgment, enterprise-level influence, and the ability to connect strategic direction with practical engineering execution. The role covers architecture for Enterprise Data, AI/ML, Generative AI, and Agentic AI. It involves cloud-native and Kubernetes-based architecture; AI solution design; enterprise data and AI platforms such as Databricks and Snowflake; platform engineering and DevOps; secure APIs and integration services; and security, privacy, observability, resilience, performance, and production readiness. You will develop proofs of concept, reference implementations, and reusable patterns with engineering teams; contribute to architecture assessments and technology roadmaps; lead architecture reviews and technology decisions; influence delivery teams; and provide technical direction and mentorship. The position offers an annual salary range of $138,078 to $185,081 and is eligible for performance-based incentives. Nestlé describes its total rewards package as including a 401(k) with company match, healthcare coverage, and other benefits. The role is not eligible for visa sponsorship.

Requirements

Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
At least 7 years of professional experience, including at least 5 years designing and implementing enterprise-scale data architectures, with expertise across modern cloud/data platforms, data engineering, analytics, AI/ML, Generative AI, and/or emerging AI technologies.
At least 3 years of experience leading architecture for large-scale platform modernization or technology transformation initiatives, influencing technical decisions across multiple teams in complex, matrixed organizations.

Nice To Haves

Advanced degree.

Responsibilities

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 expertise in Kubernetes, containers, and cloud-native application architecture, including deployment, networking, security, observability, scalability, and operational patterns.
Design and guide 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, covering data ingestion, engineering, integration, storage, analytics, AI capabilities, metadata, governance, and security.
Apply platform engineering and DevOps practices across CI/CD, infrastructure as code, automated testing, release management, and secure software delivery.
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; develop proofs of concept, reference implementations, and reusable technical patterns with engineering teams.
Establish and promote scalable, reusable architecture patterns, standards, and design principles for 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 gaps, risks, dependencies, and modernization opportunities and recommend actionable paths forward.
Lead and facilitate architecture reviews, guide technology decisions, assess trade-offs, and ensure solutions align with approved enterprise architecture, technology standards, and strategic direction.
Influence and guide delivery teams in adopting and implementing approved enterprise platforms, technologies, standards, and architecture patterns while balancing strategic alignment with practical delivery needs.
Provide technical direction, architectural guidance, and mentorship to architects, engineers, technical leads, and other technology stakeholders.