AI Solutions Sr Principal Engineer

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 Enterprise SaaS Agentic Architecture (30%) Define solution architecture patterns for Agentforce and AssistNow 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 AssistNow, 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, 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 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. Required Expertise: Must-have SaaS agentic platform experience: Salesforce Agentforce architecture experience (required) including agent/action design, security model, and enterprise integration patterns. ServiceNow AssistNow/Now Assist architecture experience (required) including ITSM/Knowledge patterns, ACL/security model, and enterprise integration patterns. Enterprise SaaS architecture foundation: Strong hands-on architecture experience on Salesforce (Sales/Service Cloud, platform security model, integration patterns). Strong hands-on architecture experience on ServiceNow (ITSM/Knowledge/Platform, ACL/security model, integration patterns). Proficiency in Python, Java, or C++ (ability to engage engineering teams and design tool/service interfaces). Platform architecture for distributed systems, including multi-tenant design and environment isolation (dev/test/prod). Strong integration architecture background including API gateway-based patterns, identity integration (SSO/OAuth), and contract-driven interfaces; experience integrating with systems of record such as Salesforce and ServiceNow (SAP integration is a plus). Strong operational readiness mindset: defining SLOs, observability standards (logs/metrics/traces), CI/CD gates (testing, security scans, approvals), and production support runbooks. Ability to drive adoption through documentation, reference implementations, and enablement of engineers and architects across teams. Experience and working knowledge of agentic AI frameworks (e.g., LangChain, CrewAI, MCP, A2A) and deploying AI solutions on AWS/Azure/GCP. Strong understanding of designing AI agents (tools/actions, orchestration, memory/state, evaluation) and incorporating advancements in AI/ML responsibly EEO Statement Our Company will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Fair Credit Reporting Act, and all other applicable laws, including but not limited to, San Francisco Police Code Sections 4901-4919, commonly referred to as the San Francisco Fair Chance Ordinance; and Chapter XVII, Article 9 of the Los Angeles Municipal Code, commonly referred to as the Fair Chance Initiative for Hiring Ordinance. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. PepsiCo is an Equal Opportunity Employer: Female / Minority / Disability / Protected Veteran / Sexual Orientation / Gender Identity / Age If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law & EEO is the Law Supplement documents. View PepsiCo EEO Policy. Please view our Pay Transparency Statement. Enterprise SaaS Agentic Architecture (30%) Define solution architecture patterns for Agentforce and AssistNow 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 AssistNow, 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, 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. 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. Required Expertise: Must-have SaaS agentic platform experience: Salesforce Agentforce architecture experience (required) including agent/action design, security model, and enterprise integration patterns. ServiceNow AssistNow/Now Assist architecture experience (required) including ITSM/Knowledge patterns, ACL/security model, and enterprise integration patterns. Enterprise SaaS architecture foundation: Strong hands-on architecture experience on Salesforce (Sales/Service Cloud, platform security model, integration patterns). Strong hands-on architecture experience on ServiceNow (ITSM/Knowledge/Platform, ACL/security model, integration patterns). Proficiency in Python, Java, or C++ (ability to engage engineering teams and design tool/service interfaces). Platform architecture for distributed systems, including multi-tenant design and environment isolation (dev/test/prod). Strong integration architecture background including API gateway-based patterns, identity integration (SSO/OAuth), and contract-driven interfaces; experience integrating with systems of record such as Salesforce and ServiceNow (SAP integration is a plus). Strong operational readiness mindset: defining SLOs, observability standards (logs/metrics/traces), CI/CD gates (testing, security scans, approvals), and production support runbooks. Ability to drive adoption through documentation, reference implementations, and enablement of engineers and architects across teams. Experience and working knowledge of agentic AI frameworks (e.g., LangChain, CrewAI, MCP, A2A) and deploying AI solutions on AWS/Azure/GCP. Strong understanding of designing AI agents (tools/actions, orchestration, memory/state, evaluation) and incorporating advancements in AI/ML responsibly