AI Solutions Architect

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.

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, 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.

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 consumer/commercial digital platform exposure.

Required Skills /

Experience:

• Proven experience producing solution architectures for enterprise initiatives, including HLD/LLD, architecture diagrams, interface specifications, and NFRs.
• Strong integration architecture experience across APIs, event-driven patterns, data products, and customer platform ecosystems.
• Practical…