AI Enterprise Platform Architect
Listed on 2026-08-30
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IT/Tech
AI Engineer (Applied/Software)
Overview
CAREERS TO SMILE ABOUT
At Pepsi Co, you’ll discover a place where our mission is to create smiles around the world. With a portfolio of more than 500 beloved brands including, Gatorade, Lay’s and Quaker, our work touches millions of people every day.
At the heart of the company is a team of thinkers, creators, and problem-solvers who collaborate to innovate and turn ideas into action. Driven by innovation and a focus on creating joyful moments through food and drinks, our decisions are guided by consumer centricity, creating opportunities for our associates to do meaningful work and make a lasting impact in the communities we serve.
Whatever your role, you’ll be part of a global community that values your ideas and empowers you to make an impact, on your career and on the world around you.
Responsibilities- Enterprise SaaS Agentic Architecture (30%)
Define solution architecture patterns for Agentforce and Assist Now implementations, including how agent capabilities are designed, integrated, and governed across enterprise SaaS environments.
- Governance Framework, Engineering Principles & Pattern Library (30%)
Document, maintain, and continuously update engineering principles, governance framework, and reusable patterns to ensure consistent delivery and reduce bespoke implementations across platforms.
- Architecture Review, Approval & Exception Governance (25%)
Work with enterprise platform teams to ensure solution architectures are reviewed and approved per established patterns; govern edge use cases and deviations via controlled, case-by-case review.
- Cross-Platform Alignment & Adoption Enablement (15%)
Enable adoption through clear documentation and guidance so delivery teams can implement solutions consistently across Agentforce and Assist Now, aligned to platform standards and governance expectations.
- Decision-Making Autonomy Moderate – Significant autonomy in the technical aspects of AI model development and implementation, working under the strategic direction provided by the Senior AI Solutions Manager.
- Supervision Required Moderate – Operates with general guidance from the Senior AI Solutions Manager, with regular updates for alignment and support.
- Complexity of Role High – The role requires managing complex AI/ML projects, working with large datasets, and ensuring successful integration with existing systems while maintaining scalability.
- Cross-Functional Interactions
Yes – Regular interaction with Data Science, Engineering, IT, digital products and business stakeholders to ensure effective AI solution deployment.
Compensation and Benefits:
- The expected compensation range for this position is between $123,500 - $206,750.
- Location, confirmed job-related skills, experience, and education will be considered in setting actual starting salary. Your recruiter can share more about the specific salary range during the hiring process.
- Bonus based on performance and eligibility target payout is 15% of annual salary paid out annually.
- Paid time off subject to eligibility, including paid parental leave, vacation, sick, and bereavement.
- In addition to salary, Pepsi Co offers a comprehensive benefits package to support our employees and their families, subject to elections and eligibility:
Medical, Dental, Vision, Disability, Health, and Dependent Care Reimbursement Accounts, Employee Assistance Program (EAP), Insurance (Accident, Group Legal, Life), Defined Contribution Retirement Plan.
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent practical experience).
- Master’s degree (MBA, MIS, MS in CS/Engineering) preferred.
- 12+ years in enterprise architecture / platform engineering / solution architecture, with experience designing and governing enterprise-scale platforms.
- Proven experience architecting AI/agentic solutions in production, including security, governance, auditability, and operability.
Expertise:
- Must-have SaaS agentic platform experience:
- Nice to have: Salesforce Agentforce architecture experience including agent/action design, security model, and enterprise integration patterns.
- Nice to have: Service Now Assist Now/Now Assist architecture…
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