AI Solutions Architect

Overview

CAREERS TO SMILE ABOUT

 

At PepsiCo, 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

Lead solution architecture for agentic AI solutions across Supply Chain programs such as DTV, Procurement, R2P, Warehousing, Manufacturing, Transportation, and Network Design, ensuring designs meet enterprise standards for security, scalability, reliability, and observability.

 

Solution Architecture & Design - (40%)

• Produce end-to-end solution architecture artifacts (HLD/LLD, C4 context/container, sequence diagrams) for consumer/commercial agentic use cases and enabling services.
• Define integration patterns with customer-facing platforms (CRM, commerce, marketing tech, customer data platforms), API ecosystems, and data platforms.

Governance & Architecture Review - (25%)

• Review agentic solution designs for compliance with platform patterns, security guardrails, and enterprise architecture standards.
• Document ADRs for key design choices, exceptions, and trade-offs; drive remediation actions for non-compliant designs.

Non‑Functional & Production Readiness - (20%)

• Define and validate NFRs: availability, latency, throughput, resilience, auditability, security, privacy, and cost controls.
• Ensure observability and operational readiness are designed-in (logging, tracing, metrics, evals, runbooks, rollback patterns).

Stakeholder Collaboration - (15%)

• Partner with product owners, engineering teams, data teams, platform teams, and vendors to deliver aligned architecture and unblock dependencies.
• Facilitate architecture workshops and design sign-offs across cross-functional teams

 

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

• 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 $110,700 - $185,250.
• 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 12% of annual salary paid out annually.
• Paid time off subject to eligibility, including paid parental leave, vacation, sick, and bereavement.
• In addition to salary, PepsiCo 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.

Qualifications

Minimum Qualifications

• Education: Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, Data/AI, or related field.
• Experience: 9+ years in solution architecture with enterprise supply chain technology exposure.

Required Skills / Experience

• Proven experience producing solution architectures for enterprise initiatives including HLD/LLD, integration