Expert Architect - Enterprise Data AI Platforms

What the role needs

• 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.
• Apply sound platform engineering and DevOps 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.
• Lead and facilitate architecture reviews, guide key 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, balancing strategic alignment with practical delivery needs.
• Provide technical direction, architectural guidance, and mentorship to architects, engineers, technical leads, and other technology stakeholders to strengthen architecture capabilities and solution delivery.

From the employer

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. Position Summary 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 DevOps 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 paths forward. • Lead and facilitate architecture reviews, guide key 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, balancing strategic alignment with practical delivery needs. • Provide technical direction, architectural guidance, and mentorship to architects, engineers, technical leads, and other technology stakeholders to strengthen architecture capabilities and solution delivery. Requirements: • Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field • 7+ years of professional experience with 5+ of those 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 • 3+ years of experience leading architecture for large-scale platform modernization or technology transformation initiatives (i.e., GenAI, Agentic AI), influencing technical decisions across multiple teams in complex, matrixed organizations Other: • Advanced degree is preferred Don’t meet all the qualifications listed under “other”? These are preferred, but not required. When you apply for a role with Nestlé Purina, we ensure that individual confidentiality is held to the highest regard. We are intentional about creating an inclusive workplace for everyone. We consider our associates our most valuable assets. Please apply for full consideration. Salary: $138,078.00 to $185,081.00 per year Bonus Eligibility: Yes The pay range provided is a good faith estimate for the position at the time of posting. Final compensation may vary based on factors including but not limited to knowledge, skills and abilities as well as geographic location. It is not typical for an individual to be hired at top of range. Nestlé offers performance-based incentives and a competitive total rewards package, which includes a 401k with company match, healthcare coverage and a broad range of other benefits. Incentives and/or benefit packages may vary depending on the position. Learn more at https://www.nestlejobs.com/nestle-in-the-us-benefits It is our business imperative to remain a very inclusive workplace. To our veterans and separated service members, you're at the forefront of our minds as we recruit top talent to join Nestlé. The skills you've gained while serving our country, such as flexibility, agility, and leadership, are much like the skills that will make you successful in this role. In addition, with our commitment to an inclusive work environment, we recognize the exceptional engagement and innovation displayed by individuals with disabilities. Nestlé seeks such skilled and qualified individuals to share our mission where you’ll join a cohort of others who have chosen to call Nestlé home. The Nestlé Companies are equal employment opportunity employers. All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status or any other characteristic protected by applicable law. Prior to the next step in the recruiting process, we welcome you to inform us confidentially if you may require any special accommodations in order to participate fully in our recruitment experience. Contact us at accommodations@nestle.com or please dial 711 and provide this number to the operator: 1-800-321-6467. This position is not eligible for Visa Sponsorship. Review our applicant privacy notice before applying at https://www.nestlejobs.com/privacy . Job Requisition: 424016